Ankit Shah
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Sushil JajodiaRajesh GanesanHasan ÇamAlexander G. HauptmannNathaniel D. BastianGeorge CybenkoMassimiliano AlbaneseSridhar Venkatesan
- Topics
- Network Security and Intrusion Detection (24 papers)Information and Cyber Security (10 papers)Software System Performance and Reliability (9 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Transactions on Information Forensics and Security
- Partner nations
- United StatesItalyPuerto Rico
In The Last Decade
Ankit Shah
33 papers receiving 436 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 222
- Information Systems 147
- Artificial Intelligence 135
- Signal Processing 95
- Computer Vision and Pattern Recognition 85
Countries citing papers authored by Ankit Shah
This map shows the geographic impact of Ankit Shah'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 Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Shah more than expected).
Fields of papers citing papers by Ankit Shah
This network shows the impact of papers produced by Ankit Shah. 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 Shah. The network helps show where Ankit Shah may publish in the future.
Co-authorship network of co-authors of Ankit Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Shah. A scholar is included among the top collaborators of Ankit Shah 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 Ankit Shah. Ankit Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | Accident Forecasting in CCTV Traffic Camera Videos. | 0 |
| 19 | 37 | |
| 20 | 1 |
About Ankit Shah
Ankit Shah is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 36 papers that have together received 452 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (24 papers), Information and Cyber Security (10 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Computer Networks and Communications (222 citations), Signal Processing (95 citations) and Information Systems (147 citations). Ankit Shah has collaborated with scholars based in United States, Italy and Puerto Rico. Frequent co-authors include Sushil Jajodia, Rajesh Ganesan, Hasan Çam, Alexander G. Hauptmann, Nathaniel D. Bastian, George Cybenko, Massimiliano Albanese, Sridhar Venkatesan, Hadi Charkhgard and Tapas K. Das. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Information Forensics and Security.
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.