K. Srinivas

57 total papers · 1.3k total citations
26 papers, 789 citations indexed

About

K. Srinivas is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, K. Srinivas has authored 26 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in K. Srinivas's work include Stock Market Forecasting Methods (5 papers), Computational Drug Discovery Methods (5 papers) and Energy Load and Power Forecasting (4 papers). K. Srinivas is often cited by papers focused on Stock Market Forecasting Methods (5 papers), Computational Drug Discovery Methods (5 papers) and Energy Load and Power Forecasting (4 papers). K. Srinivas collaborates with scholars based in India, United States and Sierra Leone. K. Srinivas's co-authors include V. Srinivasa Rao, B. Sai Chandana, R. Kiran Kumar, GR Sridhar, Allam Appa Rao, Vinod Rao, John A. Barnden, D. S. V. G. K. Kaladhar, Undurti N. Das and S. Yuvaraj and has published in prestigious journals such as Neurology, Advances in experimental medicine and biology and Multimedia Tools and Applications.

In The Last Decade

K. Srinivas

23 papers receiving 772 citations

Hit Papers

Protein-Protein Interacti... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K. Srinivas 425 101 79 57 56 26 789
Zhiming Zhang 228 0.5× 95 0.9× 36 0.5× 29 0.5× 65 1.2× 63 743
Yue Qiu 349 0.8× 131 1.3× 14 0.2× 26 0.5× 13 0.2× 44 698
Ludwig Krippahl 441 1.0× 137 1.4× 18 0.2× 20 0.4× 64 1.1× 28 744
Elif Özkırımlı 455 1.1× 87 0.9× 14 0.2× 39 0.7× 10 0.2× 43 756
Takashi Shima 218 0.5× 54 0.5× 38 0.5× 70 1.2× 13 0.2× 63 885
Ling Wang 201 0.5× 144 1.4× 11 0.1× 53 0.9× 89 1.6× 55 812
Zhaohui Zeng 272 0.6× 53 0.5× 36 0.5× 12 0.2× 115 2.1× 39 810
Daniel Karlsson 357 0.8× 93 0.9× 85 1.1× 18 0.3× 18 0.3× 54 734
Lanju Zhang 231 0.5× 188 1.9× 129 1.6× 55 1.0× 13 0.2× 46 877
V. Srinivasa Rao 403 0.9× 86 0.9× 6 0.1× 37 0.6× 145 2.6× 32 764

Countries citing papers authored by K. Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by K. Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of K. Srinivas. A scholar is included among the top collaborators of K. Srinivas 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. Srinivas. K. Srinivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026