Arun Rangarajan

601 total citations
3 papers, 99 citations indexed

About

Arun Rangarajan is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Arun Rangarajan has authored 3 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in Arun Rangarajan's work include Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Semantic Web and Ontologies (1 paper). Arun Rangarajan is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (2 papers) and Semantic Web and Ontologies (1 paper). Arun Rangarajan collaborates with scholars based in United States and United Kingdom. Arun Rangarajan's co-authors include Hans‐Michael Müller, Paul W. Sternberg, Tracy Teal, Vadim Astakhov, Gordon M. Shepherd, William Bug, Amarnath Gupta, Perry L. Miller, Jeffrey S. Grethe and Brian Sanders and has published in prestigious journals such as BMC Bioinformatics and Neuroinformatics.

In The Last Decade

Arun Rangarajan

3 papers receiving 96 citations

Peers

Arun Rangarajan
Derek Houghton United Kingdom
Liju Fan United States
Kiri Choi United States
Tom Gillespie United States
Ahmad Zyoud United Kingdom
Alice Villéger United Kingdom
Sarubini Kananathan United Kingdom
Varuni Sarwal United States
Derek Houghton United Kingdom
Arun Rangarajan
Citations per year, relative to Arun Rangarajan Arun Rangarajan (= 1×) peers Derek Houghton

Countries citing papers authored by Arun Rangarajan

Since Specialization
Citations

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

Fields of papers citing papers by Arun Rangarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Rangarajan

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

All Works

3 of 3 papers shown
1.
Rangarajan, Arun, Tim Schedl, Karen Yook, et al.. (2011). Toward an interactive article: integrating journals and biological databases. BMC Bioinformatics. 12(1). 175–175. 7 indexed citations
2.
Gupta, Amarnath, William Bug, Luis Marenco, et al.. (2008). Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF). Neuroinformatics. 6(3). 205–217. 50 indexed citations
3.
Müller, Hans‐Michael, Arun Rangarajan, Tracy Teal, & Paul W. Sternberg. (2008). Textpresso for Neuroscience: Searching the Full Text of Thousands of Neuroscience Research Papers. Neuroinformatics. 6(3). 195–204. 42 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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