Abhishek Verma
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Virender RangaHussam QassimDoina BeinJyoti GroverAbhishek SinghShekhar VermaManish KumarBernard Mettler
- Topics
- Network Security and Intrusion Detection (20 papers)Software-Defined Networks and 5G (10 papers)IoT and Edge/Fog Computing (10 papers)
- Journals
- Future Generation Computer SystemsIEEE Sensors JournalJournal of Guidance Control and Dynamics
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Abhishek Verma
82 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Networks and Communications 904
- Artificial Intelligence 677
- Signal Processing 418
- Computer Vision and Pattern Recognition 266
- Control and Systems Engineering 210
Countries citing papers authored by Abhishek Verma
This map shows the geographic impact of Abhishek 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 Abhishek Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Verma more than expected).
Fields of papers citing papers by Abhishek Verma
This network shows the impact of papers produced by Abhishek 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 Abhishek Verma. The network helps show where Abhishek Verma may publish in the future.
Co-authorship network of co-authors of Abhishek Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Verma. A scholar is included among the top collaborators of Abhishek 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 Abhishek Verma. Abhishek 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 62 | |
| 18 | 1 | |
| 19 | Compressed residual-VGG16 CNN model for big data places image recognitionbreakdown → | 321 |
| 20 | 13 |
About Abhishek Verma
Abhishek Verma is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (20 papers), Software-Defined Networks and 5G (10 papers) and IoT and Edge/Fog Computing (10 papers). The work is most often cited by research in Computer Networks and Communications (904 citations), Signal Processing (418 citations) and Artificial Intelligence (677 citations). Abhishek Verma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Virender Ranga, Hussam Qassim, Doina Bein, Jyoti Grover, Abhishek Singh, Shekhar Verma, Manish Kumar, Bernard Mettler, Dheeraj Sharma and John Sahaya Rani Alex. Their work appears in journals such as Future Generation Computer Systems, IEEE Sensors Journal and Journal of Guidance Control and Dynamics.
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.