T. Srinivasa Kumar

490 total citations
28 papers, 316 citations indexed

About

T. Srinivasa Kumar is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, T. Srinivasa Kumar has authored 28 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 6 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in T. Srinivasa Kumar's work include Coral and Marine Ecosystems Studies (6 papers), Microbial Fuel Cells and Bioremediation (5 papers) and Marine and fisheries research (5 papers). T. Srinivasa Kumar is often cited by papers focused on Coral and Marine Ecosystems Studies (6 papers), Microbial Fuel Cells and Bioremediation (5 papers) and Marine and fisheries research (5 papers). T. Srinivasa Kumar collaborates with scholars based in India, Indonesia and United States. T. Srinivasa Kumar's co-authors include Satya Eswari Jujjavarapu, G. Dharani, M Vijayakumaran, R. Venkatesan, R. Kirubagaran, M. Ravindran, R. S. Mahendra, A K A Nazar, Dilip Kumar Jha and Belinda Lipa and has published in prestigious journals such as Journal of Cleaner Production, Chemosphere and Energy & Fuels.

In The Last Decade

T. Srinivasa Kumar

24 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Srinivasa Kumar India 11 77 72 56 51 51 28 316
Xueying Liu China 9 64 0.8× 51 0.7× 45 0.8× 55 1.1× 25 0.5× 35 322
Yanfeng Wang China 11 113 1.5× 33 0.5× 83 1.5× 15 0.3× 41 0.8× 40 410
Antonia Jiménez‐Rodríguez Spain 13 100 1.3× 67 0.9× 21 0.4× 28 0.5× 42 0.8× 28 406
George Belgium 10 48 0.6× 97 1.3× 21 0.4× 97 1.9× 10 0.2× 48 351
Youda Huang China 12 70 0.9× 61 0.8× 53 0.9× 30 0.6× 13 0.3× 34 409
Sen Ding China 11 47 0.6× 136 1.9× 47 0.8× 32 0.6× 5 0.1× 31 390
Ian Archibald United States 9 52 0.7× 30 0.4× 22 0.4× 47 0.9× 414 8.1× 14 622
Kira Schipper Qatar 11 34 0.4× 63 0.9× 16 0.3× 17 0.3× 216 4.2× 15 389
Uday Bhan Singh India 8 37 0.5× 74 1.0× 8 0.1× 54 1.1× 131 2.6× 10 378
Shigeki Harada Japan 12 34 0.4× 178 2.5× 45 0.8× 173 3.4× 8 0.2× 47 425

Countries citing papers authored by T. Srinivasa Kumar

Since Specialization
Citations

This map shows the geographic impact of T. Srinivasa 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 T. Srinivasa Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Srinivasa Kumar more than expected).

Fields of papers citing papers by T. Srinivasa Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Srinivasa Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Srinivasa Kumar. A scholar is included among the top collaborators of T. Srinivasa 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 T. Srinivasa Kumar. T. Srinivasa 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
2.
Rahaman, Hasibur, Samir Pokhrel, Subodh Kumar Saha, et al.. (2025). Improved GODAS reanalysis with MOM5 and impact of altimeter assimilation. Modeling Earth Systems and Environment. 11(2).
3.
Murty, P. L. N., et al.. (2025). Tsunami modelling over global oceans. Royal Society Open Science. 12(1). 241128–241128. 2 indexed citations
4.
Jujjavarapu, Satya Eswari, T. Srinivasa Kumar, & Sharda Gupta. (2024). Computational Fluid Dynamics Applications in Bio and Biomedical Processes. 4 indexed citations
5.
Kumar, T. Srinivasa & P. A. Francis. (2024). Institutional report: ESSO-Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Govt. of India. Hyderabad-500090. Proceedings of the Indian National Science Academy. 90(2). 526–529.
6.
Remya, P. G., et al.. (2024). A Performance Evaluation of CMIP6 Wind Fields for Robust Forcing in Indian Ocean Wave Climate Studies. International Journal of Climatology. 45(4).
7.
Kumar, T. Srinivasa & Satya Eswari Jujjavarapu. (2023). Review and Perspectives of Emerging Green Technology for the Sequestration of Carbon Dioxide into Value-Added Products: An Intensifying Development. Energy & Fuels. 37(5). 3570–3589. 34 indexed citations
8.
Kumar, T. Srinivasa & Satya Eswari Jujjavarapu. (2023). Advances in anode configurations for a microbial fuel cell via a computational fluid dynamics electrochemistry and its experimental validation. Journal of Chemical Technology & Biotechnology. 98(12). 3016–3030. 7 indexed citations
9.
Kumar, T. Srinivasa & Satya Eswari Jujjavarapu. (2023). Carbon dioxide sequestration and wastewater treatment via an innovative self-sustaining algal microbial fuel cell. Journal of Cleaner Production. 415. 137836–137836. 18 indexed citations
10.
Kumar, T. Srinivasa, et al.. (2021). A critical review on early-warning electrochemical system on microbial fuel cell-based biosensor for on-site water quality monitoring. Chemosphere. 291(Pt 1). 133098–133098. 52 indexed citations
11.
Kumar, T. Srinivasa, et al.. (2016). Assessment of the Reliability of the Indian Tsunami Early Warning System. Marine Technology Society Journal. 50(3). 92–108. 15 indexed citations
12.
Roy, S. Dam, et al.. (2013). Validation of Potential Fishing Zone (PFZ) forecasts fromAndaman and Nicobar Islands. Fishery Technology. 50(3). 3 indexed citations
13.
Lipa, Belinda, et al.. (2012). High Frequency (HF) Radar Detection of the Weak 2012 Indonesian Tsunamis. Remote Sensing. 4(10). 2944–2956. 20 indexed citations
14.
Kirubagaran, R., et al.. (2010). Effects of intrinsic and extrinsic factors on the haemocyte profile of the spiny lobster, Panulirus homarus (Linnaeus, 1758) under controlled conditions. 3 indexed citations
15.
Mahendra, R. S., et al.. (2010). Applications of the multi-spectral satellite data from IRS-P6 LISS-III and IRS-P4 OCM to decipher submerged coral beds around Andaman Islands. 5 indexed citations
16.
Vijayakumaran, M, et al.. (2010). Moulting and growth in communal and individual rearing of the spiny lobster, Panulirus homarus. 10 indexed citations
17.
Vijayakumaran, M, R. Venkatesan, T. Srinivasa Kumar, et al.. (2009). Farming of spiny lobsters in sea cages in India. New Zealand Journal of Marine and Freshwater Research. 43(2). 623–634. 17 indexed citations
18.
Kumar, T. Srinivasa, et al.. (2009). Captive breeding and larval development of the scyllarine lobster Petrarctus rugosus. New Zealand Journal of Marine and Freshwater Research. 43(1). 101–112. 13 indexed citations
19.
Dharani, G., et al.. (2009). Identification of Panulirus homarus Puerulus Larvae by Restriction Fragment Length Polymorphism of Mitochondrial Cytochrome Oxidase I Gene. Pakistan Journal of Biological Sciences. 12(3). 281–285. 4 indexed citations
20.
Dharani, G., et al.. (2004). On the recurrence of Noctiluca scintillans bloom in Minnie Bay, Port Blair: Impact on water quality and bioactivity of extracts. Current Science. 87(7). 990–994. 30 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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