K. Sreenivas

1.1k total citations
43 papers, 805 citations indexed

About

K. Sreenivas is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, K. Sreenivas has authored 43 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 16 papers in Global and Planetary Change and 12 papers in Ecology. Recurrent topics in K. Sreenivas's work include Remote Sensing in Agriculture (12 papers), Remote-Sensing Image Classification (11 papers) and Flood Risk Assessment and Management (10 papers). K. Sreenivas is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Remote-Sensing Image Classification (11 papers) and Flood Risk Assessment and Management (10 papers). K. Sreenivas collaborates with scholars based in India, United States and Nepal. K. Sreenivas's co-authors include R. S. Dwivedi, K. V. Ramana, L. Venkataratnam, G. Sujatha, T. Ravisankar, Tarik Mitran, Priyom Roy, Preeti Rao, V. K. Dadhwal and G. Suresh and has published in prestigious journals such as Journal of Environmental Management, Geoderma and International Journal of Remote Sensing.

In The Last Decade

K. Sreenivas

35 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Sreenivas India 15 440 276 227 187 156 43 805
Rachid Lhissou Canada 14 418 0.9× 201 0.7× 199 0.9× 74 0.4× 93 0.6× 35 833
D.P. Shrestha Netherlands 15 259 0.6× 214 0.8× 333 1.5× 274 1.5× 434 2.8× 49 1.0k
Ruiying Zhao China 14 591 1.3× 303 1.1× 138 0.6× 232 1.2× 102 0.7× 30 977
Moncef Bouaziz Germany 13 294 0.7× 161 0.6× 133 0.6× 112 0.6× 92 0.6× 26 569
T. R. Mayr United Kingdom 5 532 1.2× 269 1.0× 85 0.4× 194 1.0× 118 0.8× 6 714
Wenyan Ge China 14 191 0.4× 405 1.5× 541 2.4× 164 0.9× 78 0.5× 28 993
Bai Zhang China 12 566 1.3× 421 1.5× 182 0.8× 253 1.4× 91 0.6× 23 883
Daniel Žížala Czechia 13 563 1.3× 343 1.2× 88 0.4× 340 1.8× 106 0.7× 34 836
Meriame Mohajane Morocco 14 302 0.7× 192 0.7× 480 2.1× 74 0.4× 165 1.1× 19 828
Emiliana Valentini Italy 17 152 0.3× 317 1.1× 266 1.2× 123 0.7× 80 0.5× 50 738

Countries citing papers authored by K. Sreenivas

Since Specialization
Citations

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

Fields of papers citing papers by K. Sreenivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Sreenivas

This figure shows the co-authorship network connecting the top 25 collaborators of K. Sreenivas. A scholar is included among the top collaborators of K. Sreenivas 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 K. Sreenivas. K. Sreenivas 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, Lakshmi Sutha, et al.. (2025). Deep learning-driven soil texture classifier using Landsat 8 images. Remote Sensing Applications Society and Environment. 38. 101568–101568. 1 indexed citations
2.
Singh, Swati, et al.. (2025). Comparison of Airborne and Spaceborne Hyperspectral Data for Lithological Discrimination Within the Eastern Dharwar Craton. Journal of the Indian Society of Remote Sensing. 53(10). 3475–3490. 1 indexed citations
3.
Sreenivas, K., et al.. (2025). Automated rapid estimation of flood depth using a digital elevation model and Earth Observation Satellite (EOS-04)-derived flood inundation. Natural hazards and earth system sciences. 25(7). 2455–2472.
4.
Roy, Priyom, Nirmala Jain, Brajendra Mishra, et al.. (2025). A rockslide-induced debris flow caused the catastrophic 2024 Wayanad disaster in Kerala, India. Landslides. 22(6). 1909–1922. 4 indexed citations
5.
Babu, A. Veeresh, et al.. (2025). Flood period estimation using multi-sensor satellite data: Case study on Punjab floods 2023. Journal of Earth System Science. 134(1).
6.
Saha, Rajarshi, et al.. (2024). Urban aquifer health assessment and its management for sustainable water supply: an innovative approach using machine learning techniques. Groundwater for Sustainable Development. 25. 101130–101130. 6 indexed citations
7.
Chakraborty, Abhishek, D. Barman, Prabir Kumar Das, et al.. (2024). Ecosystem level carbon and moisture fluxes from a high biomass fibre producing jute crop (Corchorus olitorius L): An eddy covariance-based analysis. Field Crops Research. 315. 109457–109457. 1 indexed citations
8.
Sreenivas, K., et al.. (2024). A Connected Pixels Based Approach for Surface Water Layer Extraction from EOS-04 Medium Resolution ScanSAR (MRS) Data. Journal of the Indian Society of Remote Sensing. 52(12). 2727–2737. 1 indexed citations
9.
Babu, A. Veeresh, et al.. (2024). GLOF in the South Lhonak Lake, India: photogrammetric analysis and estimation. Journal of Water and Climate Change. 16(1). 127–141. 1 indexed citations
11.
Mitran, Tarik, et al.. (2024). SOILS IN FORENSIC ANALYSIS: A REVIEW. International Journal of Advanced Research. 12(7). 928–936. 1 indexed citations
12.
Sreenivas, K., et al.. (2018). Performance evaluation of image fusion techniques for Indian remote sensing satellite data using Z-test. Spatial Information Research. 27(1). 1–9. 3 indexed citations
13.
Sreenivas, K., Rajneesh Paliwal, Shray Pathak, et al.. (2014). Estimating inter-annual diversity of seasonal agricultural area using multi-temporal resourcesat data. Journal of Environmental Management. 161. 433–442. 8 indexed citations
14.
Sreenivas, K., et al.. (2014). Spatial Assessment of Soil Organic Carbon Density Through Random Forests Based Imputation. Journal of the Indian Society of Remote Sensing. 42(3). 577–587. 42 indexed citations
15.
Sreenivas, K. & R. S. Dwivedi. (2013). Reclamative grouping of ravines using Cartosat-1 PAN stereo data. Journal of the Indian Society of Remote Sensing. 41(3). 731–737. 4 indexed citations
16.
Dwivedi, R. S., K. V. Ramana, & K. Sreenivas. (2007). Temporal behaviour of surface waterlogged areas using spaceborne multispectral multitemporal measurements. Journal of the Indian Society of Remote Sensing. 35(2). 173–184. 3 indexed citations
17.
Sai, M. V. R. Sesha, K. Sreenivas, Mala Rao, et al.. (2002). Textural analysis of IRS-1D panchromatic data for land cover classification. International Journal of Remote Sensing. 23(17). 3327–3345. 56 indexed citations
18.
Dwivedi, R. S. & K. Sreenivas. (1998). Delineation of salt-affected soils and waterlogged areas in the Indo-Gangetic plains using IRS-1C LISS-III data. International Journal of Remote Sensing. 19(14). 2739–2751. 45 indexed citations
19.
Sreenivas, K., et al.. (1993). Tidal fluctuations in relation to certain physic-chemical parameters in Swarnamukhi river estuary, east coast of India. Indian Journal of Marine Sciences. 22(3). 232–234. 19 indexed citations
20.
Sreenivas, K., et al.. (1991). Ostracoda in the Estuarine Sediments, Pulicat Lake Estuary, East Coast, India. Journal of the Geological Society of India. 37(5). 492–499. 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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