Pramod Kumar

1.6k total citations
83 papers, 1.1k citations indexed

About

Pramod Kumar is a scholar working on Plant Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Pramod Kumar has authored 83 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 20 papers in Global and Planetary Change and 19 papers in Water Science and Technology. Recurrent topics in Pramod Kumar's work include Water Quality and Pollution Assessment (11 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing in Agriculture (7 papers). Pramod Kumar is often cited by papers focused on Water Quality and Pollution Assessment (11 papers), Land Use and Ecosystem Services (8 papers) and Remote Sensing in Agriculture (7 papers). Pramod Kumar collaborates with scholars based in India, United States and United Kingdom. Pramod Kumar's co-authors include Kshama Gupta, S. Prasad, S. K. Pathan, Asfa Siddiqui, S. K. Srivastav, Praveen K. Thakur, Bhaskar R. Nikam, Sandeep Maithani, Ashutosh Kumar Jha and Prakash Chauhan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Geophysical Research Letters.

In The Last Decade

Pramod Kumar

69 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
Pramod Kumar India 14 705 468 423 180 168 83 1.1k
Terence Darlington Mushore Zimbabwe 21 860 1.2× 647 1.4× 353 0.8× 297 1.6× 255 1.5× 52 1.3k
Yuanzheng Li China 13 617 0.9× 283 0.6× 259 0.6× 141 0.8× 200 1.2× 45 931
Tangao Hu China 19 709 1.0× 515 1.1× 236 0.6× 352 2.0× 259 1.5× 58 1.2k
Luca Congedo Italy 16 574 0.8× 457 1.0× 261 0.6× 164 0.9× 251 1.5× 29 1.0k
Yaoping Cui China 21 829 1.2× 512 1.1× 281 0.7× 262 1.5× 288 1.7× 64 1.2k
Matamyo Simwanda Zambia 15 687 1.0× 473 1.0× 252 0.6× 250 1.4× 378 2.3× 26 1.2k
Andrew A. Millward Canada 19 549 0.8× 465 1.0× 544 1.3× 78 0.4× 257 1.5× 41 1.3k
Luo Guo China 18 994 1.4× 480 1.0× 426 1.0× 219 1.2× 268 1.6× 81 1.4k
Azad Rasul Iraq 13 492 0.7× 600 1.3× 272 0.6× 226 1.3× 165 1.0× 32 896
Zigeng Niu China 19 986 1.4× 890 1.9× 458 1.1× 489 2.7× 173 1.0× 38 1.7k

Countries citing papers authored by Pramod Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pramod Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramod Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pramod Kumar. A scholar is included among the top collaborators of Pramod 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 Pramod Kumar. Pramod 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.
Siddiqui, Asfa, et al.. (2022). Effect of COVID-19-induced lockdown on NO2 pollution using TROPOMI and ground-based CPCB observations in Delhi NCR, India. Environmental Monitoring and Assessment. 194(10). 714–714. 8 indexed citations
2.
Thakur, Praveen K., et al.. (2021). Geospatial modeling of water supply distribution system: A case study of Dehradun city, India. H2Open Journal. 4(1). 393–412. 4 indexed citations
3.
Kumar, Pramod, et al.. (2021). Assessing impact of urbanisation on surface runoff using vegetation-impervious surface-soil (V-I-S) fraction and NRCS curve number (CN) model. Modeling Earth Systems and Environment. 8(1). 309–322. 13 indexed citations
4.
Siddiqui, Asfa, et al.. (2020). COVID-19 Pandemic and City-Level Nitrogen Dioxide (NO2) Reduction for Urban Centres of India. Journal of the Indian Society of Remote Sensing. 48(7). 999–1006. 45 indexed citations
5.
Siddiqui, Asfa, et al.. (2020). Hyperspectral and multispectral data fusion using fast discrete curvelet transform for urban surface material characterization. Geocarto International. 37(7). 2018–2030. 4 indexed citations
6.
Siddiqui, Asfa, et al.. (2020). Characterization of urban materials in AVIRIS-NG data using a mixture tuned matched filtering (MTMF) approach. Geocarto International. 37(1). 332–347. 12 indexed citations
7.
Ben-Yishay, Rakefet, Amir Mor, Amit Shraga, et al.. (2019). Imaging within single NPCs reveals NXF1’s role in mRNA export on the cytoplasmic side of the pore. The Journal of Cell Biology. 218(9). 2962–2981. 29 indexed citations
8.
Biswas, Haimanti, et al.. (2019). Efficacy of contour bunds and vegetative barriers in resource conservation on sloping agricultural land in Bundelkhand region. Indian Journal of Soil Conservation. 47(3). 280–285. 3 indexed citations
9.
Kumar, Pramod. (2019). A study on physical profiles of all India inter university football players. International Journal of Physical Education Sports and Health. 4(1). 2193–2194. 1 indexed citations
10.
Kumar, Pramod, et al.. (2018). Study on weed management practices in rice - A review. Journal of Pharmacognosy and Phytochemistry. 7(5). 817–820.
11.
Singh, Harendra, et al.. (2016). Assessment of seven heavy metals in water of the river Ghaghara, a major tributary of the Ganga in Northern India. Advances in Applied Science Research. 7(5). 8 indexed citations
12.
Kumar, Pramod, et al.. (2016). A study of sports competition anxiety test for the different level of Uttarakhand male football players. 1(1). 35–38. 1 indexed citations
13.
Kumar, Pramod, et al.. (2016). Performance of mango cultivars in eroded soils of Shiwalik foothills.. Indian Journal of Soil Conservation. 44(1). 67–72.
14.
Nayak, Ashok Kumar, et al.. (2013). GIS-based aquaculture site suitability study using multi-criteria evaluation approach. Indian Journal of Fisheries. 61(1). 108–112. 15 indexed citations
15.
Singh, Surendra, et al.. (2013). Integrated weed management of lambsquarter and nut sedge in lentil. Indian Journal of Weed Science. 45(3). 192–197. 1 indexed citations
16.
Kumar, Rakesh, et al.. (2011). Growth and Yield of Direct-Seeded Rice (Oryza sativa) as Influenced by Sowing Dates and Weed Management Methods. SHILAP Revista de lepidopterología. 2(3). 273–276. 4 indexed citations
17.
Kumar, Pramod, et al.. (2010). Comparative study of water characteristics and algal biodiversity in river Gomti and Varuna.. PLANT ARCHIVES. 10(2). 725–728. 4 indexed citations
18.
Kumar, Pramod, et al.. (2007). Quantitative estimation of cardiopulmonary mortality due to fine particulate matters: a case study on Delhi city. View. 2 indexed citations
19.
Kumar, Pramod, et al.. (2002). Genotypic differences in photosynthesis and associated parameters in relation to yield in finger miller (Eleusine coracana (L.) Gaertn.) under hill environment. Indian Journal of Plant Physiology. 7(2). 168–173. 6 indexed citations
20.
Kumar, Pramod, et al.. (1979). Heterosis in Macaroni Wheat. Indian Journal of Genetics and Plant Breeding (The). 39(2). 279–284. 2 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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