Example of International Journal of Mining and Mineral Engineering format
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Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format
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Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format Example of International Journal of Mining and Mineral Engineering format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Mining and Mineral Engineering — Template for authors

Categories Rank Trend in last 3 yrs
Industrial and Manufacturing Engineering #190 of 336 down down by 29 ranks
Geotechnical Engineering and Engineering Geology #119 of 195 down down by 10 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 80 Published Papers | 120 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 09/06/2020
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General info
Top papers
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FAQ

Related Journals

open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 5.1
SJR: 0.686
SNIP: 1.835
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 5.6
SJR: 0.88
SNIP: 1.858
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 6.4
SJR: 0.884
SNIP: 1.244

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.5

15% from 2019

CiteRatio for International Journal of Mining and Mineral Engineering from 2016 - 2020
Year Value
2020 1.5
2019 1.3
2018 0.9
2017 1.0
2016 0.7
graph view Graph view
table view Table view

0.23

35% from 2019

SJR for International Journal of Mining and Mineral Engineering from 2016 - 2020
Year Value
2020 0.23
2019 0.355
2018 0.195
2017 0.232
2016 0.193
graph view Graph view
table view Table view

0.425

18% from 2019

SNIP for International Journal of Mining and Mineral Engineering from 2016 - 2020
Year Value
2020 0.425
2019 0.521
2018 0.584
2017 0.776
2016 0.554
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 15% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 35% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 18% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Mining and Mineral Engineering

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Inderscience Publishers

International Journal of Mining and Mineral Engineering

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Mining and Mineral Engineering formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 09 Jun 2020 and has been used by 264 authors to write and format their manuscripts to this journal.

i
Last updated on
09 Jun 2020
i
ISSN
1754-890X
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Impact Factor
Low - 0.337
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJMME.2010.031810
Microwave heating of dry and water saturated basalt, granite and sandstone

Abstract:

The heating of rocks with low to medium microwave absorption strength and its dependence on the water content is investigated in a 3 kW microwave oven at 2.45 GHz. Sandstone, granite, and basalt are chosen as the rock materials where basalt has the relatively highest absorption strength in the dry state. The effect of the mic... The heating of rocks with low to medium microwave absorption strength and its dependence on the water content is investigated in a 3 kW microwave oven at 2.45 GHz. Sandstone, granite, and basalt are chosen as the rock materials where basalt has the relatively highest absorption strength in the dry state. The effect of the microwaves at low energy input is investigated by measurements of the uniaxial compressive strength and the ultrasound velocity. The latter is found to be more reliable and is used for deducing trends caused by microwave irradiation. The largest effect due to the water content is observed in sandstone. At high energy input in basalt the interior melts and the samples break. read more read less

Topics:

Compressive strength (52%)52% related to the paper, Basalt (50%)50% related to the paper
75 Citations
Journal Article DOI: 10.1504/IJMME.2008.020457
Evaluation of a mining project using Discounted Cash Flow analysis, Decision Tree analysis, Monte Carlo Simulation and Real Options using an example
Erkan Topal1

Abstract:

Investments in the mining and minerals industry are considered to be risky. The major challenge of project evaluation is how to deal with the uncertainty involved in capital investment. Discounted Cash Flow (DCF) methods, Decision Trees (DT), Monte Carlo Simulation (MCS) and Real Options (RO) are commonly used for evaluating ... Investments in the mining and minerals industry are considered to be risky. The major challenge of project evaluation is how to deal with the uncertainty involved in capital investment. Discounted Cash Flow (DCF) methods, Decision Trees (DT), Monte Carlo Simulation (MCS) and Real Options (RO) are commonly used for evaluating mining projects. This paper briefly reviews the previous studies, outlines and summarises above four methods. Subsequently it employs these methods to evaluate a mining project where the decision whether or not to open the mine is considered. Pros and cons of investigated methods are discussed in the final section. read more read less

Topics:

Discounted cash flow (58%)58% related to the paper, Decision analysis (54%)54% related to the paper, Decision tree (53%)53% related to the paper
52 Citations
Journal Article DOI: 10.1504/IJMME.2013.053172
Utilising of linear and non-linear prediction tools for evaluation of penetration rate of Tunnel Boring Machine in hard rock condition
Alireaza Salimi1, Mohammad Esmaeili1

Abstract:

Predicting Tunnel Boring Machine (TBM) penetration rate is a crucial issue for the successful fulfilment of a mechanical tunnel project. Penetration rate depends on many factors such as intact rock properties, rock mass conditions and machine specifications. In this paper, linear and non-linear multiple regression as well as ... Predicting Tunnel Boring Machine (TBM) penetration rate is a crucial issue for the successful fulfilment of a mechanical tunnel project. Penetration rate depends on many factors such as intact rock properties, rock mass conditions and machine specifications. In this paper, linear and non-linear multiple regression as well as Artificial Neural Network (ANN) techniques were applied to predict the penetration rate of TBM. In developing of the proposed models, five parameters, which include Uniaxial Compressive Strength (UCS), Brazilian Tensile Strength (BTS), peak slope index (punch penetration), spacing of discontinuities (of weakness planes) and orientation of discontinuities with respect to the tunnel axis (β angle), were incorporated. For this study, 46 datasets were collected. Performance of these models was assessed through the R2, RMSE and MAPE. As a result, these indices revealed that the prediction performance of the ANN model is higher than that of the non-linear and linear multiple regression models. read more read less

Topics:

Rock mass classification (53%)53% related to the paper
39 Citations
Journal Article DOI: 10.1504/IJMME.2014.064486
The use of discrete event simulation for underground haulage mining equipment selection
Abubakary Salama1, Jenny Greberg1, Håkan Schunnesson1

Abstract:

The selection of equipment for haulage in underground mines is a challenge due to its impact on both production rates and costs. The selected equipment should create an optimal match for the complete system and the point when equipment is to be added or replaced needs to be identified before the change is made. The use of dis... The selection of equipment for haulage in underground mines is a challenge due to its impact on both production rates and costs. The selected equipment should create an optimal match for the complete system and the point when equipment is to be added or replaced needs to be identified before the change is made. The use of discrete event simulation to compare two different haulage units of different size with the aim of improving production is presented. The feasibility of the production targets was also analysed. The result shows that, the smaller unit improves the average production from 52% to 75% while the bigger unit improves to 83% of the planned production target. This shows that the production will rise by 8% when smaller units are replaced by bigger units. This may need to be justified financially as the costs associated with changing the truck size might be recuperated by extra production gained. Furthermore, the study showed that current production targets were not feasible under the given circumstances. read more read less

Topics:

Haulage (53%)53% related to the paper
35 Citations
Journal Article DOI: 10.1504/IJMME.2009.027259
Future of metal mining: Sixteen predictions
Lena Abrahamsson1, Bo Johansson1, Jan Johansson1

Abstract:

The world's metal mining industry faces a number of challenges which must be anticipated and managed wisely. The prevailing recession will force the industry to further rationalisations that require both new technologies and new organisational forms that supports both high productivity and good working conditions. Based on wh... The world's metal mining industry faces a number of challenges which must be anticipated and managed wisely. The prevailing recession will force the industry to further rationalisations that require both new technologies and new organisational forms that supports both high productivity and good working conditions. Based on what was said at three international mining conferences, the authors of this paper present 16 predictions for the mining industry of the future. In one or another way the mining industry of today must address them all. read more read less
29 Citations
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Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Mining and Mineral Engineering citation style.

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Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Mining and Mineral Engineering that you can download at the end.

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12. Is International Journal of Mining and Mineral Engineering's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for International Journal of Mining and Mineral Engineering?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Mining and Mineral Engineering. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Mining and Mineral Engineering?

The 5 most common citation types in order of usage for International Journal of Mining and Mineral Engineering are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the International Journal of Mining and Mineral Engineering?

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16. Can I download International Journal of Mining and Mineral Engineering in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Mining and Mineral Engineering Endnote style according to Elsevier guidelines.

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