Devpriya Soni
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
- Information and Cyber Security
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- Sentiment Analysis and Opinion Mining
- AI in cancer detection
Papers in
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- Spam and Phishing Detection 5
- Software Engineering Techniques and Practices 1
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- Sentiment Analysis and Opinion Mining 4
- Anomaly Detection Techniques and Applications 1
- AI in cancer detection 1
- Co-authors
- Shelly Sachdeva (1 shared paper)Prabhdeep Singh (1 shared paper)Baraa Riyadh Altahan (1 shared paper)Hashem O. Alsaab (1 shared paper)Vinay Kumar (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)Computational Intelligence and Neuroscience (1 paper)Neural Computing and Applications (1 paper)Journal of Data and Information Science (1 paper)Scalable Computing Practice and Experience (1 paper)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Devpriya Soni
12 papers receiving 279 citations
Peers
Comparison fields: 5 of 21
- Information Systems 209
- Artificial Intelligence 66
- Signal Processing 5
- Management Science and Operations Research 8
- Health Informatics 1
Countries citing papers authored by Devpriya Soni
This map shows the geographic impact of Devpriya Soni'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 Devpriya Soni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devpriya Soni more than expected).
Fields of papers citing papers by Devpriya Soni
This network shows the impact of papers produced by Devpriya Soni. 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 Devpriya Soni. The network helps show where Devpriya Soni may publish in the future.
Co-authors
The 5 scholars most cited alongside Devpriya Soni, 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 | 2020 | 95 | |
| 2 | 2021 | 50 | |
| 3 | 2019 | 29 | |
| 4 | 2019 | 27 | |
| 5 | 2022 | 27 | |
| 6 | 2017 | 15 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2018 | 8 | |
| 11 | 2017 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2014 | 0 |
About Devpriya Soni
Devpriya Soni is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 13 papers that have together received 296 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Anomaly Detection Techniques and Applications (1 paper), Stock Market Forecasting Methods (1 paper), Software Engineering Techniques and Practices (1 paper) and AI in cancer detection (1 paper). The work is most often cited by research in Information Systems (209 citations), Artificial Intelligence (66 citations), Signal Processing (5 citations), Management Science and Operations Research (8 citations) and Health Informatics (1 citation). Devpriya Soni has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Shelly Sachdeva, Prabhdeep Singh, Baraa Riyadh Altahan, Hashem O. Alsaab and Vinay Kumar. Their work appears in journals such as Future Generation Computer Systems, Computational Intelligence and Neuroscience, Neural Computing and Applications, Journal of Data and Information Science and Scalable Computing Practice and Experience.
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.