Sanjeev Kumar Srivastava

647 total citations
47 papers, 432 citations indexed

About

Sanjeev Kumar Srivastava is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Sanjeev Kumar Srivastava has authored 47 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 18 papers in Ecology and 9 papers in Environmental Engineering. Recurrent topics in Sanjeev Kumar Srivastava's work include Fire effects on ecosystems (13 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (7 papers). Sanjeev Kumar Srivastava is often cited by papers focused on Fire effects on ecosystems (13 papers), Remote Sensing and LiDAR Applications (7 papers) and Land Use and Ecosystem Services (7 papers). Sanjeev Kumar Srivastava collaborates with scholars based in Australia, India and United States. Sanjeev Kumar Srivastava's co-authors include Tom Lewis, Scott Burnett, Tapas K. Chaudhuri, S. Agrawal, Alison Shapcott, Li-Minn Ang, Sharif A. Mukul, Prashant K. Srivastava, Tyron J. Venn and Mohammad Reza Ghaffariyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Environmental Management.

In The Last Decade

Sanjeev Kumar Srivastava

44 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjeev Kumar Srivastava Australia 13 202 144 83 38 31 47 432
Jianyu Gu China 13 216 1.1× 240 1.7× 145 1.7× 32 0.8× 22 0.7× 37 626
Pen‐Yuan Hsing United Kingdom 9 210 1.0× 323 2.2× 16 0.2× 32 0.8× 62 2.0× 15 778
Andy Mitchell United Kingdom 7 114 0.6× 67 0.5× 55 0.7× 29 0.8× 20 0.6× 24 491
Michael H. O’Connor Australia 10 186 0.9× 99 0.7× 44 0.5× 28 0.7× 69 2.2× 11 454
Jayden E. Engert Australia 12 164 0.8× 150 1.0× 26 0.3× 25 0.7× 62 2.0× 22 314
Darek J. Nalle United States 10 374 1.9× 133 0.9× 23 0.3× 63 1.7× 141 4.5× 17 641
John Hogland United States 11 152 0.8× 176 1.2× 104 1.3× 27 0.7× 51 1.6× 23 317
Martina Dürauer Austria 7 154 0.8× 128 0.9× 81 1.0× 28 0.7× 25 0.8× 14 366
Emilio Rafael Díaz Varela Spain 19 449 2.2× 254 1.8× 80 1.0× 55 1.4× 103 3.3× 34 799
Diego Varga Spain 13 264 1.3× 104 0.7× 75 0.9× 59 1.6× 40 1.3× 45 650

Countries citing papers authored by Sanjeev Kumar Srivastava

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Kumar Srivastava

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Kumar Srivastava. A scholar is included among the top collaborators of Sanjeev Kumar Srivastava 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 Sanjeev Kumar Srivastava. Sanjeev Kumar Srivastava 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.
Behera, Mukunda Dev, Pulakesh Das, Basanta Kumar Prusty, et al.. (2025). A Synergistic Approach Using Machine Learning and Deep Learning for Forest Fire Susceptibility in Himalayan Forests. Journal of the Indian Society of Remote Sensing. 1 indexed citations
2.
Srivastava, Sanjeev Kumar, et al.. (2024). The Conservation of Biodiverse and Threatened Dry Rainforest Plant Communities Is Vital in a Changing Climate. SHILAP Revista de lepidopterología. 4(4). 657–684. 1 indexed citations
3.
Sultana, Fahmida, et al.. (2024). Assessing Vulnerability to Cyclone Hazards in the World’s Largest Mangrove Forest, The Sundarbans: A Geospatial Analysis. Forests. 15(10). 1722–1722. 2 indexed citations
4.
Ang, Li-Minn, et al.. (2024). Trending and emerging prospects of physics-based and ML-based wildfire spread models: a comprehensive review. Journal of Forestry Research. 35(1). 20 indexed citations
5.
Sena, D.R., et al.. (2024). Identifying Conservation Priority Areas of Hydrological Ecosystem Service Using Hot and Cold Spot Analysis at Watershed Scale. Remote Sensing. 16(18). 3409–3409. 4 indexed citations
7.
Srivastava, Sanjeev Kumar, et al.. (2023). Investigating the Relationship between Fire Severity and Post-Fire Vegetation Regeneration and Subsequent Fire Vulnerability. Forests. 14(2). 222–222. 7 indexed citations
8.
9.
Srivastava, Sanjeev Kumar, et al.. (2023). What type of rainforest burnt in the South East Queensland's 2019/20 bushfires and how might this impact biodiversity. Austral Ecology. 48(3). 616–642. 9 indexed citations
11.
Srivastava, Sanjeev Kumar, Kah Phooi Seng, Li-Minn Ang, Anibal Nahuel Alejandro Pachas, & Tom Lewis. (2022). Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest. Sensors. 22(20). 7872–7872. 11 indexed citations
12.
Srivastava, Sanjeev Kumar, et al.. (2021). PHYTOREMEDIATION OF SEWAGE WASTE WATER THROUGH THE APPLICATION OF DIFFERENT FLOATING AQUATIC PLANTS. Journal of Emerging Technologies and Innovative Research. 8(3). 1637-1648–1637-1648. 1 indexed citations
13.
Venn, Tyron J., et al.. (2021). A prescribed fire cost model for public lands in south-east Queensland. Forest Policy and Economics. 132. 102579–102579. 7 indexed citations
14.
Tham, Aaron, et al.. (2020). Eclectic Approaches to Analyze Recreational Cruise Sustainability. Journal of Park and Recreation Administration. 1 indexed citations
15.
Lewis, Tom, et al.. (2019). Planned and unplanned fire regimes on public land in south-east Queensland. International Journal of Wildland Fire. 29(5). 326–338. 14 indexed citations
16.
Singh, Kalpana & Sanjeev Kumar Srivastava. (2013). Child Abuse Psychological Effect and Measurement. Indian Journal of Health and Wellbeing. 4(9). 1742–1744.
17.
Srivastava, Sanjeev Kumar, Chris Mitchell, Aaron Wiegand, et al.. (2012). Ecological implications of standard fire-mapping approaches for fire management of the World Heritage Area, Fraser Island, Australia. International Journal of Wildland Fire. 22(3). 381–393. 18 indexed citations
18.
Lieske, Scott N., et al.. (2012). Determining the Relationship between Urban Form and the Costs of Public Services. Environment and Planning B Planning and Design. 39(1). 155–173. 16 indexed citations
19.
Srivastava, Sanjeev Kumar, et al.. (2000). Report on Revised National Tuberculosis Control Programme : urban pilot project in Lucknow.. Indian Journal of Tuberculosis. 47(3). 159–162. 2 indexed citations
20.
Mathur, K S, et al.. (1959). Dietary fats, serum cholesterol and serum lipid phosphorus in different socio-economic groups in Uttar Pradesh.. 33. 303–309. 6 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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