SV Ramanan

864 total citations
6 papers, 26 citations indexed

About

SV Ramanan is a scholar working on Molecular Biology, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, SV Ramanan has authored 6 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in SV Ramanan's work include Biomedical Text Mining and Ontologies (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). SV Ramanan is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). SV Ramanan collaborates with scholars based in India. SV Ramanan's co-authors include Tony Raj, Sriram Sampath and K. Giridhar and has published in prestigious journals such as Journal of Medical Systems, Meeting of the Association for Computational Linguistics and CLEF (Working Notes).

In The Last Decade

SV Ramanan

6 papers receiving 20 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
SV Ramanan India 4 22 22 1 1 1 6 26
James Done United States 3 33 1.5× 17 0.8× 1 1.0× 3 39
Zelalem Gero United States 4 12 0.5× 25 1.1× 1 1.0× 9 39
Sam Skjonsberg United States 3 10 0.5× 13 0.6× 1 1.0× 4 19
Takako Takai Japan 4 16 0.7× 11 0.5× 7 23
Trish Whetzel United States 3 8 0.4× 12 0.5× 1 1.0× 5 18
Miji Choi Australia 4 42 1.9× 48 2.2× 1 1.0× 7 59
Frieda Steurs Belgium 4 7 0.3× 21 1.0× 1 1.0× 14 31
Hagar Hussein Egypt 4 7 0.3× 14 0.6× 1 1.0× 6 34
Mehran Soltani Denmark 4 7 0.3× 13 0.6× 7 32
Dries Van Daele Belgium 3 16 0.7× 7 0.3× 2 2.0× 3 29

Countries citing papers authored by SV Ramanan

Since Specialization
Citations

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

Fields of papers citing papers by SV Ramanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SV Ramanan

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

All Works

6 of 6 papers shown
1.
Ramanan, SV, et al.. (2016). Dense Annotation of Free-Text Critical Care Discharge Summaries from an Indian Hospital and Associated Performance of a Clinical NLP Annotator. Journal of Medical Systems. 40(8). 187–187. 4 indexed citations
2.
Ramanan, SV, et al.. (2016). Effective ranging techniques in LTE. 36. 1–6. 1 indexed citations
3.
Ramanan, SV, et al.. (2014). Cocoa: Extending a Rule-based System to Tag Disease Attributes in Clinical Records.. CLEF (Working Notes). 150–155. 2 indexed citations
5.
Ramanan, SV, et al.. (2013). Performance of a Multi-class Biomedical Tagger on Clinical Records.. CLEF (Working Notes). 5 indexed citations
6.
Ramanan, SV, et al.. (2013). Performance and limitations of the linguistically motivated Cocoa/Peaberry system in a broad biological domain.. Meeting of the Association for Computational Linguistics. 86–93. 9 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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2026