Mayank Bakshi
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Co-authors
- Sidharth JaggiPak HouMichelle EffrosChung ChanQiaosheng ZhangSheng CaiSwanand KadheAlex Sprintson
- Topics
- Wireless Communication Security Techniques (28 papers)Cooperative Communication and Network Coding (16 papers)Cellular Automata and Applications (8 papers)
- Partner nations
- Hong KongUnited StatesIndia
In The Last Decade
Mayank Bakshi
40 papers receiving 587 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 444
- Artificial Intelligence 291
- Computer Networks and Communications 236
- Computer Vision and Pattern Recognition 105
- Molecular Biology 78
Countries citing papers authored by Mayank Bakshi
This map shows the geographic impact of Mayank Bakshi'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 Mayank Bakshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Bakshi more than expected).
Fields of papers citing papers by Mayank Bakshi
This network shows the impact of papers produced by Mayank Bakshi. 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 Mayank Bakshi. The network helps show where Mayank Bakshi may publish in the future.
Co-authorship network of co-authors of Mayank Bakshi
This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Bakshi. A scholar is included among the top collaborators of Mayank Bakshi 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 Mayank Bakshi. Mayank Bakshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | Transformers and Induction Machines | 0 |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 205 | |
| 20 | 14 |
About Mayank Bakshi
Mayank Bakshi is a scholar working on Computational Mathematics, Computer Networks and Communications and Computational Theory and Mathematics, having authored 42 papers that have together received 595 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (28 papers), Cooperative Communication and Network Coding (16 papers) and Cellular Automata and Applications (8 papers). The work is most often cited by research in Computational Mathematics (18 citations), Computer Networks and Communications (236 citations) and Artificial Intelligence (291 citations). Mayank Bakshi has collaborated with scholars based in Hong Kong, United States and India. Frequent co-authors include Sidharth Jaggi, Pak Hou, Michelle Effros, Chung Chan, Qiaosheng Zhang, Sheng Cai, Swanand Kadhe, Alex Sprintson, Vinod M. Prabhakaran and Yannan Chen. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Neurocomputing.
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.