Gunjan Verma
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Aerospace Engineering
- Co-authors
- Brian M. SadlerPaul YuAnanthram SwamiSantiago SegarraFikadu T. DagefuKevin ChanZhongyuan ZhaoRaissa M. D’Souza
- Topics
- Indoor and Outdoor Localization Technologies (9 papers)Cooperative Communication and Network Coding (7 papers)Wireless Communication Networks Research (5 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Gunjan Verma
36 papers receiving 419 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 228
- Computer Networks and Communications 171
- Artificial Intelligence 145
- Signal Processing 60
- Aerospace Engineering 60
Countries citing papers authored by Gunjan Verma
This map shows the geographic impact of Gunjan Verma'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 Gunjan Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunjan Verma more than expected).
Fields of papers citing papers by Gunjan Verma
This network shows the impact of papers produced by Gunjan Verma. 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 Gunjan Verma. The network helps show where Gunjan Verma may publish in the future.
Co-authorship network of co-authors of Gunjan Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Gunjan Verma. A scholar is included among the top collaborators of Gunjan Verma 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 Gunjan Verma. Gunjan Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | Attribution-Based Confidence Metric For Deep Neural Networks | 19 |
| 10 | Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks | 21 |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 38 | |
| 17 | Role of Women Entrepreneurship in India | 0 |
| 18 | 3 | |
| 19 | Transaction Processing and Management in Distributed Database Systems | 2 |
| 20 | A dynamic infrastructure for interconnecting disparate ISR/ISTAR assets (the ITA sensor fabric) | 25 |
About Gunjan Verma
Gunjan Verma is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 39 papers that have together received 426 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (9 papers), Cooperative Communication and Network Coding (7 papers) and Wireless Communication Networks Research (5 papers). The work is most often cited by research in Computer Networks and Communications (171 citations), Signal Processing (60 citations) and Artificial Intelligence (145 citations). Gunjan Verma has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Brian M. Sadler, Paul Yu, Ananthram Swami, Ananthram Swami, Santiago Segarra, Fikadu T. Dagefu, Kevin Chan, Zhongyuan Zhao, Raissa M. D’Souza and Kamal Sarabandi. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Wireless Communications.
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.