Ankit Garg
Impact in
- Computational Mathematics top 10%
-
- Complexity and Algorithms in Graphs
Papers in
-
- Complexity and Algorithms in Graphs 13
- Computability, Logic, AI Algorithms 4
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- Wireless Communication Security Techniques 8
- Advanced Wireless Communication Techniques 6
- Optical Wireless Communication Technologies 4
- Advanced MIMO Systems Optimization 4
- Co-authors
- Gajendra P. S. Raghava (1 shared paper)Manoj Bhasin (1 shared paper)Mark Braverman (8 shared papers)Manav R. Bhatnagar (9 shared papers)Avi Wigderson (6 shared papers)Omri Weinstein (5 shared papers)Leonid Gurvits (4 shared papers)Akshat Agrawal (4 shared papers)
- Journals
- IEEE Transactions on Communications (2 papers)CATENA (1 paper)Wind and Structures (1 paper)IEEE Wireless Communications Letters (1 paper)Theory of Computing Systems (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Ankit Garg
55 papers receiving 517 citations
Peers
Comparison fields: 5 of 103
- Computational Mathematics 10
- Computational Theory and Mathematics 95
- Statistics and Probability 33
- Microbiology 18
- Artificial Intelligence 101
Countries citing papers authored by Ankit Garg
This map shows the geographic impact of Ankit 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 Ankit Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Garg more than expected).
Fields of papers citing papers by Ankit Garg
This network shows the impact of papers produced by Ankit 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 Ankit Garg. The network helps show where Ankit Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 209 | |
| 2 | 2013 | 33 | |
| 3 | 2016 | 23 | |
| 4 | 2014 | 22 | |
| 5 | 2014 | 20 | |
| 6 | 2017 | 17 | |
| 7 | 2018 | 16 | |
| 8 | 2009 | 15 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2017 | 6 |
About Ankit Garg
Ankit Garg is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Mathematical Physics, having authored 63 papers that have together received 542 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (13 papers), Cryptography and Data Security (10 papers), Wireless Communication Security Techniques (8 papers), Advanced Wireless Communication Techniques (6 papers), Cooperative Communication and Network Coding (5 papers), Optical Wireless Communication Technologies (4 papers), Advanced MIMO Systems Optimization (4 papers) and Computability, Logic, AI Algorithms (4 papers). The work is most often cited by research in Computational Mathematics (10 citations), Computational Theory and Mathematics (95 citations), Statistics and Probability (33 citations), Microbiology (18 citations) and Artificial Intelligence (101 citations). Ankit Garg has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Gajendra P. S. Raghava, Manoj Bhasin, Mark Braverman, Manav R. Bhatnagar, Avi Wigderson, Omri Weinstein, Leonid Gurvits, Akshat Agrawal, Olivier Berder and Ashish Negi. Their work appears in journals such as IEEE Transactions on Communications, CATENA, Wind and Structures, IEEE Wireless Communications Letters and Theory of Computing Systems.
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.