Parveen Kumar

827 total citations
67 papers, 477 citations indexed

About

Parveen Kumar is a scholar working on Plant Science, Soil Science and Agronomy and Crop Science. According to data from OpenAlex, Parveen Kumar has authored 67 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 22 papers in Soil Science and 14 papers in Agronomy and Crop Science. Recurrent topics in Parveen Kumar's work include Rice Cultivation and Yield Improvement (15 papers), Soil Carbon and Nitrogen Dynamics (11 papers) and Agricultural Science and Fertilization (9 papers). Parveen Kumar is often cited by papers focused on Rice Cultivation and Yield Improvement (15 papers), Soil Carbon and Nitrogen Dynamics (11 papers) and Agricultural Science and Fertilization (9 papers). Parveen Kumar collaborates with scholars based in India, United States and Saudi Arabia. Parveen Kumar's co-authors include Venkatesh Paramesh, Ajay Kumar Mishra, V. Arunachalam, Dinesh Kumar Sharma, Farman Ullah, Bappa Das, G. Basana Gowda, P. Rai, Arun Jyoti Nath and Charu Lata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Environmental Management.

In The Last Decade

Parveen Kumar

57 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parveen Kumar India 12 202 125 67 66 62 67 477
Aurore Philibert France 8 201 1.0× 158 1.3× 110 1.6× 52 0.8× 44 0.7× 12 530
Hélio Tonini Brazil 15 172 0.9× 156 1.2× 106 1.6× 110 1.7× 46 0.7× 90 690
Syed Sheraz Mahdi India 10 194 1.0× 100 0.8× 28 0.4× 58 0.9× 52 0.8× 41 396
Csaba Juhász Hungary 11 113 0.6× 90 0.7× 92 1.4× 65 1.0× 37 0.6× 28 490
M. Mostafizur Rahman Shah Bangladesh 9 159 0.8× 61 0.5× 52 0.8× 65 1.0× 25 0.4× 12 376
M. M. Campanha Brazil 10 140 0.7× 143 1.1× 47 0.7× 61 0.9× 20 0.3× 34 380
Ojs Jki 4 279 1.4× 48 0.4× 77 1.1× 38 0.6× 48 0.8× 6 401
Santanu Kumar Bal India 13 289 1.4× 104 0.8× 88 1.3× 113 1.7× 42 0.7× 74 655
Giovanna Sala Italy 10 93 0.5× 84 0.7× 75 1.1× 133 2.0× 43 0.7× 39 468
Humberto Vaquera‐Huerta Mexico 13 268 1.3× 42 0.3× 63 0.9× 73 1.1× 43 0.7× 142 666

Countries citing papers authored by Parveen Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Parveen Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parveen Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Parveen Kumar. A scholar is included among the top collaborators of Parveen 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 Parveen Kumar. Parveen 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.
2.
Paramesh, Venkatesh, et al.. (2025). Soil quality enhancement in arecanut (Areca catechu)-based agroforestry system: Insights from organic farming and integrated nutrient management. The Indian Journal of Agricultural Sciences. 95(3). 331–335. 1 indexed citations
3.
4.
Rãdulescu, Magdalena, et al.. (2024). G20 ENVIRONMENTAL TRANSITIONS: A HOLISTIC EXPLORATION OF THE ENVIRONMENTAL KUZNETS CURVE (EKC). THE ROLE OF FDI, URBANIZATION AND INDUSTRIAL TRENDS. Environmental Engineering and Management Journal. 23(9). 1823–1835. 4 indexed citations
5.
Uthappa, A. R., Bappa Das, Gopal Ramdas Mahajan, et al.. (2024). Comparative analysis of soil quality indexing techniques for various tree based land use systems in semi-arid India. Frontiers in Forests and Global Change. 6. 7 indexed citations
6.
Kumar, Parveen, et al.. (2024). The complex dynamical behaviour of fractal-fractional forestry biomass system. SHILAP Revista de lepidopterología. 32(1). 2 indexed citations
7.
8.
Biji, K. B., et al.. (2023). Delineating the fish-based ecosystem services of a small tropical Indian estuary: Identification, evaluation and management. Estuarine Coastal and Shelf Science. 293. 108506–108506. 1 indexed citations
9.
Ingole, Baban, et al.. (2023). Seen from the Stakeholder’s revelation — valuation of ecosystem services in a small tropical Indian estuary. Regional Studies in Marine Science. 62. 102905–102905. 2 indexed citations
10.
Das, Bappa, Debashis Chakraborty, Bimal K. Bhattacharya, et al.. (2023). Ensemble surface soil moisture estimates at farm-scale combining satellite-based optical-thermal-microwave remote sensing observations. Agricultural and Forest Meteorology. 339. 109567–109567. 22 indexed citations
11.
Paramesh, Venkatesh, Parveen Kumar, Arun Jyoti Nath, et al.. (2023). Integrated Nutrient Management Enhances Yield, Improves Soil Quality, and Conserves Energy under the Lowland Rice–Rice Cropping System. Agronomy. 13(6). 1557–1557. 14 indexed citations
12.
Kumar, Dinesh, Magan Singh, Sanjeev Kumar, et al.. (2023). Energy Budgeting and Carbon Footprints Estimation of Fodder Maize Varieties Sown under Different Nutrient Management Practices in Indo-Gangetic Plains of India. Agronomy. 13(4). 981–981. 7 indexed citations
13.
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
14.
Ingole, Baban, et al.. (2023). A multi-metric fish index to measure the ecological quality of tropical predominantly open estuaries along the western coast of India. Environmental Monitoring and Assessment. 195(3). 421–421. 5 indexed citations
15.
Kumar, Parveen, et al.. (2023). Spatio-temporal patterns in the distribution of juvenile elasmobranchs in a tropical Indian Ocean estuary, Zuari- India. Marine Biodiversity. 53(3). 2 indexed citations
16.
Das, Bappa, et al.. (2022). Novel combination artificial neural network models could not outperform individual models for weather-based cashew yield prediction. International Journal of Biometeorology. 66(8). 1627–1638. 10 indexed citations
17.
Neelam, Neelam, et al.. (2019). Growth and yield of barley (Hordeum vulgare L.) varieties as influenced by application of plant growth regulators. International Journal of Chemical Studies. 7(5). 1278–1282.
18.
Kumar, Parveen, et al.. (2017). Influence of manure and nitrogen levels on nutrient uptake, soil fertility and economics of pearlmillet under semiarid environment.. 43(3). 208–212.
19.
Kumar, Vijay, et al.. (2013). Growth and yield of rice-wheat cropping sequence in raised bed planting system. Indian Journal of Agricultural Research. 47(2). 157–162. 5 indexed citations
20.
Kumar, Parveen, et al.. (2011). Studies on �Kinnow� (Citrus reticulata Blanco.) Decline in Relation to Soil-Plant Nutritional Status. SHILAP Revista de lepidopterología. 1 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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