Suresh Kumar

2.2k total citations
88 papers, 1.3k citations indexed

About

Suresh Kumar is a scholar working on Soil Science, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Suresh Kumar has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Soil Science, 37 papers in Environmental Engineering and 20 papers in Water Science and Technology. Recurrent topics in Suresh Kumar's work include Soil erosion and sediment transport (32 papers), Soil Geostatistics and Mapping (27 papers) and Hydrology and Watershed Management Studies (19 papers). Suresh Kumar is often cited by papers focused on Soil erosion and sediment transport (32 papers), Soil Geostatistics and Mapping (27 papers) and Hydrology and Watershed Management Studies (19 papers). Suresh Kumar collaborates with scholars based in India, Netherlands and United States. Suresh Kumar's co-authors include Justin George Kalambukattu, S. P. S. Kushwaha, Surya Gupta, J. L. McCarty, Tatiana Loboda, S. Korontzi, Chris Justice, V. K. Dadhwal, Sudip Saha and SK Saha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Global Biogeochemical Cycles.

In The Last Decade

Suresh Kumar

75 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suresh Kumar India 18 586 537 358 353 293 88 1.3k
Feras Ziadat Jordan 19 705 1.2× 497 0.9× 301 0.8× 370 1.0× 354 1.2× 48 1.4k
Hongfen Teng China 16 511 0.9× 368 0.7× 256 0.7× 336 1.0× 247 0.8× 27 1.0k
Karl Vanderlinden Spain 21 684 1.2× 604 1.1× 372 1.0× 274 0.8× 281 1.0× 60 1.6k
Rania Bou Kheir Lebanon 20 695 1.2× 917 1.7× 274 0.8× 352 1.0× 213 0.7× 36 1.5k
Hocine Bourennane France 22 666 1.1× 874 1.6× 149 0.4× 348 1.0× 201 0.7× 45 1.7k
Qingrui Chang China 23 393 0.7× 410 0.8× 416 1.2× 693 2.0× 239 0.8× 92 2.0k
Elsayed Said Mohamed Egypt 26 335 0.6× 562 1.0× 323 0.9× 218 0.6× 169 0.6× 68 1.5k
Karuturi Venkata Suryabhagavan Ethiopia 21 340 0.6× 420 0.8× 585 1.6× 206 0.6× 225 0.8× 48 1.3k
Mario Minacapilli Italy 21 727 1.2× 540 1.0× 752 2.1× 477 1.4× 390 1.3× 49 1.6k
Philip Heilman United States 22 428 0.7× 392 0.7× 409 1.1× 636 1.8× 387 1.3× 64 1.6k

Countries citing papers authored by Suresh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Kumar. A scholar is included among the top collaborators of Suresh Kumar 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 Suresh Kumar. Suresh Kumar 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.
Kumar, Suresh, M. Sankar, Justin George Kalambukattu, et al.. (2024). Application of fallout radionuclide—137Cs for estimating soil erosion in steep hillslopes with diverse land use of North-western Indian Himalayas. SHILAP Revista de lepidopterología. 2(1). 1 indexed citations
2.
Kumar, Suresh, et al.. (2024). Downscaling future precipitation with shared socioeconomic pathway (SSP) scenarios using machine learning models in the North-Western Himalayan region. Modeling Earth Systems and Environment. 10(5). 6373–6395. 4 indexed citations
3.
Kumar, Suresh, et al.. (2024). Potential of pine forest in controlling soil erosion in Himalayan region - Investigation using fallout radionuclide (137Cs) measurements. SHILAP Revista de lepidopterología. 2. 100031–100031. 6 indexed citations
4.
Kumar, Suresh, et al.. (2024). Soil redistribution rates along the forested and cultivated steep hillslope in the mid‐Himalayas using fallout—137Cs and RUSLE model. Land Degradation and Development. 35(16). 4795–4813. 2 indexed citations
5.
6.
7.
Kar, Saswat Kumar, et al.. (2023). Implication of land use shifting on land degradation and restoration potential of conservation agriculture in India's North-West Himalayan region. Geoderma Regional. 32. e00616–e00616. 5 indexed citations
8.
Kalambukattu, Justin George, et al.. (2023). Temporal remote sensing based soil salinity mapping in Indo-Gangetic plain employing machine-learning techniques. Proceedings of the Indian National Science Academy. 89(2). 290–305. 5 indexed citations
9.
Chatterjee, Uday, et al.. (2022). Ecological Footprints of Climate Change. 16 indexed citations
10.
Kumar, Suresh, et al.. (2022). Modelling climate change impact on soil erosion in a watershed of north-western Lesser Himalayan region. Journal of Sedimentary Environments. 7(2). 125–146. 14 indexed citations
11.
Kalambukattu, Justin George, et al.. (2021). Geospatial modelling of soil erosion and risk assessment in Indian Himalayan region—A study of Uttarakhand state. Environmental Advances. 4. 100039–100039. 55 indexed citations
12.
Kumar, Suresh, et al.. (2020). Soil Organic Carbon Prediction using Visible–Near Infrared Reflectance Spectroscopy Employing Artificial Neural Network Modelling. Current Science. 119(2). 377–377. 4 indexed citations
13.
Raizada, A., et al.. (2019). Soil erosion risk mapping for natural resource conservation planning in Karnataka region, Southern India. Indian Journal of Soil Conservation. 47(1). 14–20. 5 indexed citations
14.
Kumar, Suresh & Sanjeev Sharma. (2014). Diversity, Disturbance and Regeneration Status of forests along an Altitudinal Gradient in Paddar Valley, Northwest Himalayas. Indian Forester. 140(4). 348–353. 6 indexed citations
15.
Kumar, Suresh, et al.. (2014). Paddy land conversion as a threat to floristic biodiversity – a study on Karrimpuzha watershed, Kerala state, south India. International Journal on Environmental Sciences. 5(1). 123–134. 6 indexed citations
16.
Kumar, Suresh, et al.. (2014). Un involvement in Afghanistan: Post-Taliban Reconstruction. 18(3). 116–138.
17.
Krishan, Gopal, et al.. (2009). Quantifying the underestimation of soil organic carbon by the Walkley and Black technique - examples from Himalayan and Central Indian soils.. Current Science. 96(8). 1133–1336. 41 indexed citations
18.
Velmurugan, A., Gopal Krishan, V. K. Dadhwal, et al.. (2009). Harmonizing soil organic carbon estimates in historical and current data. Current Science. 97(4). 554–558. 11 indexed citations
19.
Dogra, Kuldip S., et al.. (2009). Comparison of understorey vegetation in exotic and indigenous tree plantations in Shivalik Hills of N.W. Indian Himalayas (Himachal Pradesh). Journal of Ecology and the Natural Environment. 1(5). 130–136. 8 indexed citations
20.
Kumar, Suresh & Farzana Parveen. (2000). Floristic diversity as a source of household, traditional and commercialised remedies in arid western Rajasthan, India.. JOURNAL OF ECONOMIC AND TAXONOMIC BOTANY. 24(2). 495–505. 3 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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