Gautam B. Singh
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Stephen A. KrawetzJana KošeckáAna C. MurilloJ.J. GuerreroNorman A. DoggettJeffrey A. KramerMark D. AdamsAbhijit Nagchaudhuri
- Topics
- Machine Learning in Bioinformatics (7 papers)Genomics and Phylogenetic Studies (7 papers)Metabolomics and Mass Spectrometry Studies (5 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Gautam B. Singh
38 papers receiving 278 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 111
- Aerospace Engineering 92
- Molecular Biology 83
- Electrical and Electronic Engineering 30
- Artificial Intelligence 23
Countries citing papers authored by Gautam B. Singh
This map shows the geographic impact of Gautam B. Singh'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 Gautam B. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gautam B. Singh more than expected).
Fields of papers citing papers by Gautam B. Singh
This network shows the impact of papers produced by Gautam B. Singh. 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 Gautam B. Singh. The network helps show where Gautam B. Singh may publish in the future.
Co-authorship network of co-authors of Gautam B. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Gautam B. Singh. A scholar is included among the top collaborators of Gautam B. Singh 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 Gautam B. Singh. Gautam B. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Semantic Parsing for Technical Support Questions | 4 |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | Language models for semantic extraction and filtering in video action recognition | 2 |
| 6 | 3 | |
| 7 | Visual Loop Closing using Gist Descriptors in Manhattan World | 37 |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Performance analysis of PC based SIMD parallel mechanism | 0 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 21 | |
| 18 | 28 | |
| 19 | 1 | |
| 20 | 4 |
About Gautam B. Singh
Gautam B. Singh is a scholar working on Architecture, Artificial Intelligence and Molecular Biology, having authored 41 papers that have together received 292 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (111 citations), Architecture (6 citations) and Aerospace Engineering (92 citations). Gautam B. Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Stephen A. Krawetz, Jana Košecká, Ana C. Murillo, J.J. Guerrero, Norman A. Doggett, Jeffrey A. Kramer, Mark D. Adams, Abhijit Nagchaudhuri, Sébastien George and Manpreet Kaur. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Robotics and Genomics.
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.