Vikas Garg
Impact in
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
Papers in
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- Advanced Clustering Algorithms Research 5
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- Blockchain Technology Applications and Security 11
- Co-authors
- Tommi Jaakkola (4 shared papers)Gurinder Singh (14 shared papers)John Ingraham (1 shared paper)Regina Barzilay (1 shared paper)Anubhuti Gupta (5 shared papers)T. S. Jayram (3 shared papers)M. Narasimha Murty (4 shared papers)Abhishek Singhal (4 shared papers)
- Journals
- Journal of Sustainable Finance & Investment (3 papers)IEEE Transactions on Knowledge and Data Engineering (1 paper)HardwareX (1 paper)Environment Development and Sustainability (1 paper)Current Opinion in Structural Biology (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Vikas Garg
94 papers receiving 770 citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 168
- Computer Vision and Pattern Recognition 102
- Management Information Systems 44
- Organizational Behavior and Human Resource Management 46
- Management Science and Operations Research 56
Countries citing papers authored by Vikas Garg
This map shows the geographic impact of Vikas Garg'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 Vikas Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Garg more than expected).
Fields of papers citing papers by Vikas Garg
This network shows the impact of papers produced by Vikas Garg. 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 Vikas Garg. The network helps show where Vikas Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generative models for graph-based protein design | 2019 | 102 |
| 2 | 2018 | 44 | |
| 3 | 2012 | 42 | |
| 4 | 2012 | 37 | |
| 5 | 2021 | 36 | |
| 6 | 2015 | 35 | |
| 7 | Link label prediction in signed social networks | 2013 | 34 |
| 8 | 2018 | 30 | |
| 9 | 2021 | 28 | |
| 10 | 2019 | 22 | |
| 11 | 2020 | 22 | |
| 12 | Multiresolution Matrix Factorization | 2014 | 20 |
| 13 | 2005 | 18 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2024 | 13 | |
| 17 | Adaptivity to Local Smoothness and Dimension in Kernel Regression | 2013 | 12 |
| 18 | 2010 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 11 |
About Vikas Garg
Vikas Garg is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Economics and Econometrics, having authored 124 papers that have together received 812 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (11 papers), FinTech, Crowdfunding, Digital Finance (6 papers), Advanced Clustering Algorithms Research (5 papers), AI and HR Technologies (5 papers), IoT and Edge/Fog Computing (4 papers), Business and Economic Development (4 papers), Railway Systems and Energy Efficiency (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (168 citations), Computer Vision and Pattern Recognition (102 citations), Management Information Systems (44 citations), Organizational Behavior and Human Resource Management (46 citations) and Management Science and Operations Research (56 citations). Vikas Garg has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Tommi Jaakkola, Gurinder Singh, John Ingraham, Regina Barzilay, Anubhuti Gupta, T. S. Jayram, M. Narasimha Murty, Abhishek Singhal, Y. Narahari and Roberto Cipolla. Their work appears in journals such as Journal of Sustainable Finance & Investment, IEEE Transactions on Knowledge and Data Engineering, HardwareX, Environment Development and Sustainability and Current Opinion in Structural Biology.
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.