Nirmal Kumar

928 total citations
61 papers, 496 citations indexed

About

Nirmal Kumar is a scholar working on Soil Science, Environmental Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Nirmal Kumar has authored 61 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Soil Science, 22 papers in Environmental Engineering and 16 papers in Management, Monitoring, Policy and Law. Recurrent topics in Nirmal Kumar's work include Soil Geostatistics and Mapping (16 papers), Soil and Land Suitability Analysis (14 papers) and Soil Carbon and Nitrogen Dynamics (10 papers). Nirmal Kumar is often cited by papers focused on Soil Geostatistics and Mapping (16 papers), Soil and Land Suitability Analysis (14 papers) and Soil Carbon and Nitrogen Dynamics (10 papers). Nirmal Kumar collaborates with scholars based in India, United States and Australia. Nirmal Kumar's co-authors include G. P. Obi Reddy, V. Ramamurthy, Sanjay Singh, Rabi Narayan Sahoo, Dipanwita Dutta, Manoj Khanna, Sanjoy Bandyopadhyay, Surendra Singh, Nisha Sahu and Pravash Chandra Moharana and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nirmal Kumar

52 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nirmal Kumar India 13 155 104 94 93 89 61 496
Bangbang Zhang China 13 261 1.7× 61 0.6× 123 1.3× 49 0.5× 83 0.9× 30 517
Javier Ibáñez Spain 12 189 1.2× 163 1.6× 123 1.3× 46 0.5× 106 1.2× 26 478
Ligang Lv China 12 255 1.6× 65 0.6× 139 1.5× 85 0.9× 81 0.9× 32 555
Lihua Zhou China 13 249 1.6× 147 1.4× 120 1.3× 66 0.7× 171 1.9× 57 604
Sylvia Herrmann Germany 13 334 2.2× 108 1.0× 67 0.7× 100 1.1× 144 1.6× 18 608
Liping Shan China 10 344 2.2× 87 0.8× 94 1.0× 35 0.4× 96 1.1× 19 576
Tewodros T. Assefa Ethiopia 14 82 0.5× 82 0.8× 226 2.4× 118 1.3× 33 0.4× 38 522
Qingling Geng China 12 184 1.2× 48 0.5× 102 1.1× 94 1.0× 83 0.9× 16 547
Weiyi Xu China 12 486 3.1× 119 1.1× 115 1.2× 79 0.8× 88 1.0× 14 688
William Critchley Netherlands 10 197 1.3× 144 1.4× 251 2.7× 79 0.8× 101 1.1× 30 632

Countries citing papers authored by Nirmal Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Nirmal Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmal Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Nirmal Kumar. A scholar is included among the top collaborators of Nirmal 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 Nirmal Kumar. Nirmal 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.
Subhash, M. N., Nishant K. Sinha, Rabi Narayan Sahoo, et al.. (2025). Spatial variability of soil physicochemical properties in soybean wheat belts in Vertisols of central India. Scientific Reports. 15(1). 33830–33830.
2.
Moško, Jaroslav, et al.. (2025). Specialized fractionation combined with deep analytics of waste plastic cracking oils for petrochemical operations. Journal of Industrial and Engineering Chemistry. 152. 432–442.
3.
Reddy, G. P. Obi, et al.. (2025). Spatial modelling of soil erosion in sub-tropical region of Central India using AHP and geospatial approach. Environmental Monitoring and Assessment. 197(9). 1054–1054.
4.
Moharana, Pravash Chandra, et al.. (2024). Soil Depth Prediction through Soil-Landscape Modelling Using Machine Learning in the Vidarbha Region of Central India. Journal of the Indian Society of Soil Science. 72(2). 145–155. 1 indexed citations
5.
Manorama, K., G. P. Obi Reddy, K. Suresh, et al.. (2024). Characterization and Mapping of the Potential Area of Oil Palm Using Multi-Criteria Decision Analysis in a Geographic Information Systems Environment. Agriculture. 14(7). 986–986. 2 indexed citations
6.
Choudhary, Mahipal, Nishant K. Sinha, Somasundaram Jayaraman, et al.. (2023). Response of Contrasting Nutrient Management Regimes on Soil Aggregation, Aggregate-Associated Carbon and Macronutrients in a 43-Year Long-Term Experiment. Sustainability. 15(3). 2679–2679. 2 indexed citations
7.
Yadav, Brijesh Kumar, Lal Chand Malav, Md Yeasin, et al.. (2023). Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate. Sustainability. 15(21). 15191–15191. 5 indexed citations
8.
Sharma, Nimisha, Anil Kumar Dubey, Sanjay Kumar Singh, et al.. (2023). Scion/Rootstock Interaction Studies for Quality Traits in Mango (Mangifera indica L.) Varieties. Agronomy. 13(1). 204–204. 5 indexed citations
9.
Das, Bappa, et al.. (2023). Land degradation vulnerability mapping in a west coast river basin of India using analytical hierarchy process combined machine learning models. Environmental Science and Pollution Research. 30(35). 83975–83990. 9 indexed citations
10.
Gupta, Suman, et al.. (2023). Estimation of Serum Calcium Level among Hospitalised Infants with Acute Bronchiolitis: A Cross-sectional Study. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH.
11.
Jena, Roomesh Kumar, Pravash Chandra Moharana, Nirmal Kumar, et al.. (2022). Geospatial Modelling for Delineation of Crop Management Zones Using Local Terrain Attributes and Soil Properties. Remote Sensing. 14(9). 2101–2101. 15 indexed citations
12.
Malav, Lal Chand, Brijesh Kumar Yadav, Nirmal Kumar, et al.. (2022). Mapping of Land Degradation Vulnerability in the Semi-Arid Watershed of Rajasthan, India. Sustainability. 14(16). 10198–10198. 18 indexed citations
13.
Kumar, Nirmal, et al.. (2022). Osteoporosis. 1(1). 1–7. 1 indexed citations
14.
15.
Kumar, Nirmal & Shweta Mishra. (2020). Critical review of Vatavyadhi in Brihattrayi. International journal of applied research. 6(6). 60–62. 1 indexed citations
16.
Kranthi, S., et al.. (2019). New Report of Oxycetonia versicolor Fabricius, as a Pest on Cotton from Central India. National Academy Science Letters. 42(5). 387–390. 1 indexed citations
17.
Bueno, Carolina, et al.. (2017). Toxicity assessment of arsenic and cobalt in the presence of aquatic humic substances of different molecular sizes. Ecotoxicology and Environmental Safety. 139. 1–8. 20 indexed citations
18.
19.
Kumar, Nirmal, et al.. (2012). Resource use efficiency of cattle and buffalo milk production in Haryana. The Indian Journal of Animal Sciences. 82(8). 930–934. 1 indexed citations
20.
Kumar, Nirmal, Rajat Sharma, & N. K. Kakker. (2007). Non‐Structural Protein 3A for Differentiation of Foot‐and‐Mouth Disease Infected and Vaccinated Animals in Haryana (India). Zoonoses and Public Health. 54(9-10). 376–382. 12 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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