Cartik R. Kothari
- Artificial Intelligence top 10%
- Molecular Biology
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- David J. RussomannoPaul AvillachIsaac S. KohaneChirag J. PatelNam PhoJohn G. LundbergMonte WesterfieldPaula Mabee
- Topics
- Semantic Web and Ontologies (11 papers)Biomedical Text Mining and Ontologies (6 papers)Advanced Database Systems and Queries (5 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Cartik R. Kothari
17 papers receiving 438 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 191
- Molecular Biology 140
- Information Systems 105
- Computer Networks and Communications 89
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Cartik R. Kothari
This map shows the geographic impact of Cartik R. Kothari'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 Cartik R. Kothari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cartik R. Kothari more than expected).
Fields of papers citing papers by Cartik R. Kothari
This network shows the impact of papers produced by Cartik R. Kothari. 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 Cartik R. Kothari. The network helps show where Cartik R. Kothari may publish in the future.
Co-authorship network of co-authors of Cartik R. Kothari
This figure shows the co-authorship network connecting the top 25 collaborators of Cartik R. Kothari. A scholar is included among the top collaborators of Cartik R. Kothari 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 Cartik R. Kothari. Cartik R. Kothari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 112 | |
| 6 | A Metadata based Knowledge Discovery Methodology for Seeding Translational Research. | 1 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 65 | |
| 11 | 62 | |
| 12 | 3 | |
| 13 | 3D Visualization of Relation Clusters from OWL Ontologies. | 1 |
| 14 | A Relation Semantics Elicitation Prototype for the Semantic Web. | 1 |
| 15 | Building a Sensor Ontology: A Practical Approach Leveraging ISO and OGC Models. | 127 |
| 16 | 65 | |
| 17 | 6 | |
| 18 | An Implementation of Plausible Inference for the Semantic Web. | 2 |
About Cartik R. Kothari
Cartik R. Kothari is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Ecological Modeling (30 citations), Artificial Intelligence (191 citations) and Information Systems (105 citations). Cartik R. Kothari has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David J. Russomanno, Paul Avillach, Isaac S. Kohane, Chirag J. Patel, Nam Pho, John G. Lundberg, Monte Westerfield, Paula Mabee, Todd Vision and James P. Balhoff. Their work appears in journals such as PLoS ONE, Briefings in Bioinformatics and Scientific Data.
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.