Sonal Garg
Impact in
- Information Systems top 5%
- Spam and Phishing Detection
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Hate Speech and Cyberbullying Detection
Papers in
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- Spam and Phishing Detection 10
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- Misinformation and Its Impacts 10
- Co-authors
- Dilip Kumar Sharma (11 shared papers)Basant Agarwal (1 shared paper)Namita Mittal (1 shared paper)Rajesh Katoch (1 shared paper)
- Journals
- Computers & Industrial Engineering (1 paper)Tropical Animal Health and Production (1 paper)Complex & Intelligent Systems (1 paper)Computational Intelligence and Neuroscience (1 paper)Internet Technology Letters (1 paper)
- Partner nations
- India
In The Last Decade
Sonal Garg
12 papers receiving 280 citations
Peers
Comparison fields: 5 of 49
- Information Systems 150
- Artificial Intelligence 189
- Signal Processing 55
- Sociology and Political Science 150
- Business and International Management 2
Countries citing papers authored by Sonal Garg
This map shows the geographic impact of Sonal Garg'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 Sonal Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonal Garg more than expected).
Fields of papers citing papers by Sonal Garg
This network shows the impact of papers produced by Sonal Garg. 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 Sonal Garg. The network helps show where Sonal Garg may publish in the future.
Co-authors
The 4 scholars most cited alongside Sonal Garg, 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 | 2015 | 132 | |
| 2 | 2021 | 46 | |
| 3 | 2022 | 40 | |
| 4 | 2020 | 16 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 1998 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2015 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 0 |
About Sonal Garg
Sonal Garg is a scholar working on Information Systems, Sociology and Political Science, Artificial Intelligence, Signal Processing and Small Animals, having authored 13 papers that have together received 292 indexed citations. Recurring topics across this work include Spam and Phishing Detection (10 papers), Misinformation and Its Impacts (10 papers), Advanced Malware Detection Techniques (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Text and Document Classification Technologies (2 papers), Hate Speech and Cyberbullying Detection (2 papers), Advanced Text Analysis Techniques (1 paper) and Authorship Attribution and Profiling (1 paper). The work is most often cited by research in Information Systems (150 citations), Artificial Intelligence (189 citations), Signal Processing (55 citations), Sociology and Political Science (150 citations) and Business and International Management (2 citations). Sonal Garg has collaborated with scholars based in India. Frequent co-authors include Dilip Kumar Sharma, Basant Agarwal, Namita Mittal and Rajesh Katoch. Their work appears in journals such as Computers & Industrial Engineering, Tropical Animal Health and Production, Complex & Intelligent Systems, Computational Intelligence and Neuroscience and Internet Technology Letters.
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.