Bekir Genc

1.7k total citations · 1 hit paper
49 papers, 1.3k citations indexed

About

Bekir Genc is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Bekir Genc has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ocean Engineering, 12 papers in Mechanical Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Bekir Genc's work include Coal Properties and Utilization (21 papers), Mineral Processing and Grinding (9 papers) and Combustion and Detonation Processes (9 papers). Bekir Genc is often cited by papers focused on Coal Properties and Utilization (21 papers), Mineral Processing and Grinding (9 papers) and Combustion and Detonation Processes (9 papers). Bekir Genc collaborates with scholars based in South Africa, Namibia and Vietnam. Bekir Genc's co-authors include Moshood Onifade, Samson Bada, Turgay Çelik, Andrew Morgan, Khadija Omar Said, John Adebisi, N. Wagner, Jibril Abdulsalam, Abiodun Ismail Lawal and Syed Saad Azhar Ali and has published in prestigious journals such as Fuel, Process Safety and Environmental Protection and Resources Policy.

In The Last Decade

Bekir Genc

45 papers receiving 1.3k citations

Hit Papers

A review of research on spontaneous combustion of coal 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of research on spontaneous combustion of coal
    2020 334 citations Moshood Onifade, Bekir Genc International Journal of Mining Science and Technology profile →

Peers

Bekir Genc
Moshood Onifade South Africa
Zhongwei Wang China
Haifei Lin China
Kai Wang China
Xian Xi China
Abiodun Ismail Lawal Nigeria
Serkan Saydam Australia
Ismet Canbulat Australia
Farhang Sereshki Iran
Moshood Onifade South Africa
Bekir Genc
Citations per year, relative to Bekir Genc Bekir Genc (= 1×) peers Moshood Onifade

Countries citing papers authored by Bekir Genc

Since Specialization
Citations

This map shows the geographic impact of Bekir Genc's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bekir Genc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bekir Genc more than expected).

Fields of papers citing papers by Bekir Genc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bekir Genc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bekir Genc. The network helps show where Bekir Genc may publish in the future.

Co-authorship network of co-authors of Bekir Genc

This figure shows the co-authorship network connecting the top 25 collaborators of Bekir Genc. A scholar is included among the top collaborators of Bekir Genc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bekir Genc. Bekir Genc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Genc, Bekir, et al.. (2025). Forecast-driven blockchain framework for multi-node solar–hydrogen hybrid energy systems. International Journal of Sustainable Energy. 44(1).
2.
Zhou, Jian, Manoj Khandelwal, Moshood Onifade, et al.. (2025). An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis. Fuel. 403. 136065–136065. 1 indexed citations
3.
Zvarivadza, T., et al.. (2024). On the impact of Industrial Internet of Things (IIoT) - mining sector perspectives. International Journal of Mining Reclamation and Environment. 38(10). 771–809. 17 indexed citations
4.
Chen, Yuxin, Manoj Khandelwal, Moshood Onifade, et al.. (2024). Predicting the hardgrove grindability index using interpretable decision tree-based machine learning models. Fuel. 384. 133953–133953. 8 indexed citations
5.
Genc, Bekir, et al.. (2023). An integrated safety framework for the diamond mines: A case study from Namibia. Resources Policy. 82. 103564–103564. 1 indexed citations
6.
7.
Genc, Bekir, et al.. (2023). Spontaneous combustion of carbonaceous shale at an iron ore mine, South Africa. Journal of the Southern African Institute of Mining and Metallurgy. 123(6). 1 indexed citations
8.
Çelik, Turgay, et al.. (2023). Review of machine learning-based Mineral Resource estimation. Journal of the Southern African Institute of Mining and Metallurgy. 122(11). 1–10. 8 indexed citations
9.
Onifade, Moshood, Abiodun Ismail Lawal, Jibril Abdulsalam, et al.. (2021). Development of multiple soft computing models for estimating organic and inorganic constituents in coal. International Journal of Mining Science and Technology. 31(3). 483–494. 27 indexed citations
10.
Said, Khadija Omar, Moshood Onifade, Bekir Genc, et al.. (2021). On the dependence of predictive models on experimental dataset: a spontaneous combustion studies scenario. International Journal of Mining Reclamation and Environment. 35(7). 506–522. 8 indexed citations
11.
Onifade, Moshood, et al.. (2020). Spontaneous Combustion Liability Indices of Coal. Combustion Science and Technology. 193(15). 2659–2671. 37 indexed citations
12.
Genc, Bekir, et al.. (2019). Modeling and analysis of Lily gold mine disasters using geoinformatics. GeoJournal. 85(3). 837–862. 7 indexed citations
13.
Onifade, Moshood & Bekir Genc. (2018). A review of spontaneous combustion studies – South African context. International Journal of Mining Reclamation and Environment. 33(8). 527–547. 48 indexed citations
14.
Onifade, Moshood & Bekir Genc. (2018). Modelling spontaneous combustion liability of carbonaceous materials. International Journal of Coal Science & Technology. 5(2). 191–212. 28 indexed citations
15.
Genc, Bekir, et al.. (2018). Leveraging Zimbabwe's mineral endowment for economic transformation and human development. Resources Policy. 58. 230–239. 7 indexed citations
16.
Onifade, Moshood & Bekir Genc. (2018). Spontaneous combustion of coals and coal-shales. International Journal of Mining Science and Technology. 28(6). 933–940. 130 indexed citations
17.
Genc, Bekir, et al.. (2017). Evaluation of line brattice length in an empty heading to improve air flow rate at the face using CFD. International Journal of Mining Science and Technology. 27(2). 253–259. 16 indexed citations
18.
Musingwini, C., et al.. (2013). Online database of mine planning and peripheral software used in the South African mining industry.. Journal of the Southern African Institute of Mining and Metallurgy. 113(6). 497–504. 2 indexed citations
19.
Genc, Bekir, et al.. (2012). An investigation into the optimization of personnel transportation to level 15 and below at Khuseleka No. 1 Shaft, Anglo Platinum. Journal of the Southern African Institute of Mining and Metallurgy. 112(4). 323–330. 1 indexed citations
20.
Genc, Bekir & F.T. Cawood. (2012). The establishment of a Mine Design Laboratory for improved teaching of and learning by Mining Engineering students: A case study. Journal of the Southern African Institute of Mining and Metallurgy. 112(7). 677–682.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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