Vikram Nitin
Impact in
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- Complex Network Analysis Techniques
Papers in
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- Advanced Graph Neural Networks 3
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- Complex Network Analysis Techniques 3
- Co-authors
- Anand Louis (3 shared papers)Madhav Nimishakavi (3 shared papers)Partha Talukdar (3 shared papers)Prateek Yadav (3 shared papers)Naganand Yadati (3 shared papers)Baishakhi Ray (3 shared papers)Rahul Krishna (2 shared papers)Gail E. Kaiser (1 shared paper)
- Journals
- IEEE Transactions on Software Engineering (1 paper)ePrints@IISc (Indian Institute of Science) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Vikram Nitin
6 papers receiving 105 citations
Peers
Comparison fields: 5 of 33
- Computational Mathematics 2
- Statistical and Nonlinear Physics 37
- Artificial Intelligence 63
- Software 6
- Information Systems 27
Countries citing papers authored by Vikram Nitin
This map shows the geographic impact of Vikram Nitin'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 Vikram Nitin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Nitin more than expected).
Fields of papers citing papers by Vikram Nitin
This network shows the impact of papers produced by Vikram Nitin. 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 Vikram Nitin. The network helps show where Vikram Nitin may publish in the future.
Co-authors
The 8 scholars most cited alongside Vikram Nitin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 49 | |
| 2 | HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs | 2019 | 26 |
| 3 | 2022 | 18 | |
| 4 | 2021 | 7 | |
| 5 | Link Prediction in Hypergraphs using Graph Convolutional Networks | 2018 | 6 |
| 6 | 2025 | 1 |
About Vikram Nitin
Vikram Nitin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Networks and Communications and Molecular Biology, having authored 6 papers that have together received 107 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Graph Theory and Algorithms (1 paper), Software Engineering Research (1 paper), Advanced Malware Detection Techniques (1 paper), Cloud Computing and Resource Management (1 paper), Software Testing and Debugging Techniques (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Statistical and Nonlinear Physics (37 citations), Artificial Intelligence (63 citations), Software (6 citations) and Information Systems (27 citations). Vikram Nitin has collaborated with scholars based in United States and India. Frequent co-authors include Anand Louis, Madhav Nimishakavi, Partha Talukdar, Prateek Yadav, Naganand Yadati, Baishakhi Ray, Rahul Krishna and Gail E. Kaiser. Their work appears in journals such as IEEE Transactions on Software Engineering and ePrints@IISc (Indian Institute of Science).
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.