Simit Raval

1.6k total citations
59 papers, 1.2k citations indexed

About

Simit Raval is a scholar working on Environmental Engineering, Media Technology and Mechanical Engineering. According to data from OpenAlex, Simit Raval has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 13 papers in Media Technology and 13 papers in Mechanical Engineering. Recurrent topics in Simit Raval's work include Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (12 papers) and Remote-Sensing Image Classification (12 papers). Simit Raval is often cited by papers focused on Remote Sensing and LiDAR Applications (13 papers), 3D Surveying and Cultural Heritage (12 papers) and Remote-Sensing Image Classification (12 papers). Simit Raval collaborates with scholars based in Australia, United States and India. Simit Raval's co-authors include Bikram Pratap Banerjee, Sarvesh Kumar Singh, Patrick J. Cullen, Serkan Saydam, J.A. Dallas, Andrew G. Dempster, Mylah Villacorte-Tabelin, Mayumi Ito, Kyoungkeun Yoo and Toshifumi Igarashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Simit Raval

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simit Raval Australia 19 250 178 167 153 151 59 1.2k
Xinju Li China 15 180 0.7× 73 0.4× 45 0.3× 63 0.4× 80 0.5× 59 897
Zhao Yanling China 14 229 0.9× 94 0.5× 40 0.2× 44 0.3× 61 0.4× 30 1.0k
Rami Al‐Ruzouq United Arab Emirates 23 580 2.3× 220 1.2× 24 0.1× 42 0.3× 91 0.6× 104 1.6k
Ryuichi Itoi Japan 24 470 1.9× 77 0.4× 94 0.6× 470 3.1× 227 1.5× 98 1.7k
Yibin Ren China 20 128 0.5× 35 0.2× 129 0.8× 33 0.2× 72 0.5× 45 1.4k
Éric Pirard Belgium 20 96 0.4× 18 0.1× 35 0.2× 348 2.3× 212 1.4× 98 1.1k
Changhyun Jun South Korea 23 562 2.2× 22 0.1× 50 0.3× 63 0.4× 157 1.0× 143 1.8k
Umar Ashraf China 27 235 0.9× 102 0.6× 96 0.6× 978 6.4× 303 2.0× 68 2.1k
Jangwon Suh South Korea 19 192 0.8× 67 0.4× 28 0.2× 72 0.5× 226 1.5× 57 917
Zhongfan Zhu China 17 259 1.0× 13 0.1× 39 0.2× 308 2.0× 108 0.7× 66 2.2k

Countries citing papers authored by Simit Raval

Since Specialization
Citations

This map shows the geographic impact of Simit Raval'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 Simit Raval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simit Raval more than expected).

Fields of papers citing papers by Simit Raval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simit Raval. 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 Simit Raval. The network helps show where Simit Raval may publish in the future.

Co-authorship network of co-authors of Simit Raval

This figure shows the co-authorship network connecting the top 25 collaborators of Simit Raval. A scholar is included among the top collaborators of Simit Raval 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 Simit Raval. Simit Raval 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.
Zhang, Chengye, et al.. (2025). An index-based approach to evaluate ecological environment in various surface coal mines using Google Earth Engine. Journal of Cleaner Production. 490. 144746–144746. 4 indexed citations
2.
Chauhan, Akshansha & Simit Raval. (2025). Satellite-Derived Approaches for Coal Mine Methane Estimation: A Re-view. California Digital Library. 1 indexed citations
3.
Banerjee, Bikram Pratap, et al.. (2025). A systematic review of machine learning-based remote sensing data analysis for geological and mined materials characterisation. European Journal of Remote Sensing. 58(1).
4.
Banerjee, Bikram Pratap, et al.. (2024). Granular characterisation of coal spoil dump using unmanned aerial vehicle data to enhance stability analysis. Journal of Rock Mechanics and Geotechnical Engineering. 17(7). 3994–4007. 1 indexed citations
5.
6.
Murthy, V. M. S. R., et al.. (2024). Enhancing dragline operations supervision through computer vision: real time height measurement of dragline spoil piles dump using YOLO. Geomatics Natural Hazards and Risk. 15(1). 2 indexed citations
7.
8.
Singh, Sarvesh Kumar, et al.. (2023). Spoil characterisation using UAV-based optical remote sensing in coal mine dumps. International Journal of Coal Science & Technology. 10(1). 12 indexed citations
9.
Singh, Sarvesh Kumar, Bikram Pratap Banerjee, Matthew Lato, Claude Sammut, & Simit Raval. (2022). Automated rock mass discontinuity set characterisation using amplitude and phase decomposition of point cloud data. International Journal of Rock Mechanics and Mining Sciences. 152. 105072–105072. 34 indexed citations
10.
Banerjee, Bikram Pratap & Simit Raval. (2022). Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR. International Journal of Coal Science & Technology. 9(1). 11 indexed citations
11.
Singh, Sarvesh Kumar, et al.. (2022). An investigation of machine learning techniques to estimate minimum horizontal stress magnitude from borehole breakout. International Journal of Mining Science and Technology. 32(5). 1021–1029. 15 indexed citations
12.
Banerjee, Bikram Pratap & Simit Raval. (2021). A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors. Remote Sensing. 13(16). 3295–3295. 4 indexed citations
13.
Yang, Yongjun, Huping Hou, Shaoliang Zhang, et al.. (2020). The long‐term effects of underground mining on the growth of tree, shrub, and herb communities in arid and semiarid areas in China. Land Degradation and Development. 32(3). 1412–1425. 11 indexed citations
14.
Tabelin, Carlito Baltazar, Ryan D. Corpuz, Toshifumi Igarashi, et al.. (2020). Acid mine drainage formation and arsenic mobility under strongly acidic conditions: Importance of soluble phases, iron oxyhydroxides/oxides and nature of oxidation layer on pyrite. Journal of Hazardous Materials. 399. 122844–122844. 221 indexed citations
15.
Hou, Huping, Simit Raval, Yongjun Yang, et al.. (2020). Effect of crop cultivation on the soil carbon stock in mine dumps of the Loess Plateau, China. The Science of The Total Environment. 741. 139809–139809. 12 indexed citations
16.
Banerjee, Bikram Pratap, Simit Raval, Patrick J. Cullen, & Sarvesh Kumar Singh. (2019). Mapping of Complex Vegetation Communities and Species Using UAV-LIDAR Metrics and High-Resolution Optical Data. 6110–6113. 8 indexed citations
17.
Banerjee, Bikram Pratap, et al.. (2017). Health condition assessment for vegetation exposed to heavy metal pollution through airborne hyperspectral data. Environmental Monitoring and Assessment. 189(12). 604–604. 19 indexed citations
18.
Raval, Simit, Emily Sarver, Ali Shamsoddini, et al.. (2014). Satellite remote sensing-based estimates of biomass production on reclaimed coal mines. Mining Engineering. 66(4). 76–82. 9 indexed citations
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20.

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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