Rajesh K. Dhumal

429 total citations
19 papers, 224 citations indexed

About

Rajesh K. Dhumal is a scholar working on Artificial Intelligence, Media Technology and Environmental Engineering. According to data from OpenAlex, Rajesh K. Dhumal has authored 19 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Media Technology and 7 papers in Environmental Engineering. Recurrent topics in Rajesh K. Dhumal's work include Remote-Sensing Image Classification (7 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and Land Use (6 papers). Rajesh K. Dhumal is often cited by papers focused on Remote-Sensing Image Classification (7 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and Land Use (6 papers). Rajesh K. Dhumal collaborates with scholars based in India. Rajesh K. Dhumal's co-authors include K. V. Kale, Amol D. Vibhute, S. C. Mehrotra, Sandeep V. Gaikwad, Ramesh R. Manza, Bharti W. Gawali, Gaurav Sharma and T. P. Singh and has published in prestigious journals such as Multimedia Tools and Applications, SN Applied Sciences and Ecological Processes.

In The Last Decade

Rajesh K. Dhumal

16 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajesh K. Dhumal India 8 88 62 58 49 39 19 224
Weibo Ma China 6 179 2.0× 91 1.5× 76 1.3× 63 1.3× 165 4.2× 11 344
Iván Lizarazo Colombia 10 61 0.7× 100 1.6× 130 2.2× 44 0.9× 22 0.6× 31 328
Péter Burai Hungary 10 162 1.8× 99 1.6× 200 3.4× 15 0.3× 49 1.3× 33 378
Svetlana Illarionova Russia 13 133 1.5× 59 1.0× 130 2.2× 15 0.3× 17 0.4× 31 304
Rebeca dos Santos de Moura Brazil 5 70 0.8× 46 0.7× 116 2.0× 27 0.6× 21 0.5× 8 273
Fadi Kizel Israel 10 85 1.0× 67 1.1× 51 0.9× 26 0.5× 21 0.5× 33 267
K. P. Singh India 9 89 1.0× 38 0.6× 89 1.5× 20 0.4× 11 0.3× 44 307
Fei Teng China 12 90 1.0× 56 0.9× 30 0.5× 11 0.2× 27 0.7× 16 321
Yannik Rist Australia 7 108 1.2× 73 1.2× 128 2.2× 18 0.4× 19 0.5× 8 293
Е. В. Дмитриев Russia 10 117 1.3× 78 1.3× 130 2.2× 15 0.3× 20 0.5× 50 300

Countries citing papers authored by Rajesh K. Dhumal

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh K. Dhumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajesh K. Dhumal. 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 Rajesh K. Dhumal. The network helps show where Rajesh K. Dhumal may publish in the future.

Co-authorship network of co-authors of Rajesh K. Dhumal

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh K. Dhumal. A scholar is included among the top collaborators of Rajesh K. Dhumal 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 Rajesh K. Dhumal. Rajesh K. Dhumal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
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Dhumal, Rajesh K., et al.. (2023). Use Of RPA For Email Automation With Salesforce Integration. 140–144.
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Vibhute, Amol D., K. V. Kale, Sandeep V. Gaikwad, & Rajesh K. Dhumal. (2020). Estimation of soil nitrogen in agricultural regions by VNIR reflectance spectroscopy. SN Applied Sciences. 2(9). 17 indexed citations
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Vibhute, Amol D., et al.. (2020). Classification of complex environments using pixel level fusion of satellite data. Multimedia Tools and Applications. 79(47-48). 34737–34769. 13 indexed citations
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Dhumal, Rajesh K., et al.. (2018). Analysis and modelling of drinking water utilities by using GIS: in Aurangabad city, Maharashtra, India. CSI Transactions on ICT. 6(1). 77–81. 6 indexed citations
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Vibhute, Amol D., et al.. (2017). Evaluation of soil conditions using spectral indices from hyperspectral datasets. 1–6. 5 indexed citations
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Kale, K. V., et al.. (2017). A Research Review on Hyperspectral Data Processing and Analysis Algorithms. Proceedings of the National Academy of Sciences India Section A Physical Sciences. 87(4). 541–555. 35 indexed citations
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Dhumal, Rajesh K., et al.. (2017). Fuzzy convolution tactic for classification of spatial pattern and crop area. 379–382. 3 indexed citations
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Vibhute, Amol D., et al.. (2016). Understanding the dynamics of Gautala Autramghat forest: A digital image classification approach. 22. 1166–1169. 2 indexed citations
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Dhumal, Rajesh K., et al.. (2015). Advances in Classification of Crops using Remote Sensing Data. International Journal of Advanced Remote Sensing and GIS. 4(1). 1410–1418. 9 indexed citations
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Vibhute, Amol D., K. V. Kale, Rajesh K. Dhumal, & S. C. Mehrotra. (2015). Soil type classification and mapping using hyperspectral remote sensing data. 1–4. 20 indexed citations
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Vibhute, Amol D., K. V. Kale, Rajesh K. Dhumal, & S. C. Mehrotra. (2015). Hyperspectral imaging data atmospheric correction challenges and solutions using QUAC and FLAASH algorithms. 1–6. 22 indexed citations
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Mehrotra, S. C., et al.. (2014). Evaluation of Partially Overlapping 3D Point Cloud's Registration by using ICP variant and CloudCompare.. ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 891–897. 37 indexed citations

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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2026