Pubali Datta
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software System Performance and Reliability
- IoT and Edge/Fog Computing
Papers in
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- Network Security and Intrusion Detection 3
- Distributed systems and fault tolerance 2
- Software System Performance and Reliability 2
- IoT and Edge/Fog Computing 2
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- Security and Verification in Computing 6
- Co-authors
- Adam Bates (9 shared papers)Wajih Ul Hassan (2 shared papers)Wei Yang (1 shared paper)Qi Wang (1 shared paper)Si Liu (1 shared paper)Carl A. Gunter (1 shared paper)Andrew Miller (1 shared paper)Michael Grace (1 shared paper)
- Journals
- Annual Computer Security Applications Conference (1 paper)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Pubali Datta
11 papers receiving 289 citations
Peers
Comparison fields: 5 of 25
- Signal Processing 132
- Computer Networks and Communications 175
- Software 23
- Information Systems 134
- Artificial Intelligence 119
Countries citing papers authored by Pubali Datta
This map shows the geographic impact of Pubali Datta'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 Pubali Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pubali Datta more than expected).
Fields of papers citing papers by Pubali Datta
This network shows the impact of papers produced by Pubali Datta. 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 Pubali Datta. The network helps show where Pubali Datta may publish in the future.
Co-authors
The 21 scholars most cited alongside Pubali Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2020 | 66 | |
| 3 | 2020 | 42 | |
| 4 | 2020 | 36 | |
| 5 | 2020 | 24 | |
| 6 | 2024 | 5 | |
| 7 | 2014 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2015 | 1 |
About Pubali Datta
Pubali Datta is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing and Sociology and Political Science, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Security and Verification in Computing (6 papers), Advanced Malware Detection Techniques (4 papers), Cloud Data Security Solutions (4 papers), Network Security and Intrusion Detection (3 papers), Cloud Computing and Resource Management (2 papers), Distributed systems and fault tolerance (2 papers), Software System Performance and Reliability (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Signal Processing (132 citations), Computer Networks and Communications (175 citations), Software (23 citations), Information Systems (134 citations) and Artificial Intelligence (119 citations). Pubali Datta has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Adam Bates, Wajih Ul Hassan, Wei Yang, Qi Wang, Si Liu, Carl A. Gunter, Andrew Miller, Michael Grace, Amir Rahmati and Christopher W. Fletcher. Their work appears in journals such as Annual Computer Security Applications Conference.
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.