Rishabh Kaushal
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 5%
- Spam and Phishing Detection
Papers in
-
- Hate Speech and Cyberbullying Detection 6
- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 6
-
- Spam and Phishing Detection 18
- Co-authors
- Arushi Gupta (2 shared papers)Aditi Gupta (1 shared paper)Ponnurangam Kumaraguru (10 shared papers)Payal Bajaj (1 shared paper)Deeksha Arora (1 shared paper)Parul Sharma (2 shared papers)Adriana Iamnitchi (5 shared papers)Gerasimos Spanakis (2 shared papers)
- Journals
- Social Network Analysis and Mining (2 papers)Multimedia Tools and Applications (2 papers)Neural Computing and Applications (1 paper)ACM Transactions on the Web (1 paper)Computer Communications (1 paper)
- Partner nations
- IndiaNetherlandsUnited Kingdom
In The Last Decade
Rishabh Kaushal
45 papers receiving 477 citations
Peers
Comparison fields: 5 of 56
- Signal Processing 176
- Information Systems 270
- Software 40
- Computer Networks and Communications 169
- Artificial Intelligence 180
Countries citing papers authored by Rishabh Kaushal
This map shows the geographic impact of Rishabh Kaushal'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 Rishabh Kaushal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Kaushal more than expected).
Fields of papers citing papers by Rishabh Kaushal
This network shows the impact of papers produced by Rishabh Kaushal. 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 Rishabh Kaushal. The network helps show where Rishabh Kaushal may publish in the future.
Co-authors
The 20 scholars most cited alongside Rishabh Kaushal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 61 | |
| 2 | 2015 | 57 | |
| 3 | 2017 | 55 | |
| 4 | 2016 | 51 | |
| 5 | 2016 | 37 | |
| 6 | 2016 | 33 | |
| 7 | 2015 | 30 | |
| 8 | 2019 | 23 | |
| 9 | 2022 | 23 | |
| 10 | 2017 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2024 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2012 | 6 |
About Rishabh Kaushal
Rishabh Kaushal is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Signal Processing and Computer Networks and Communications, having authored 51 papers that have together received 514 indexed citations. Recurring topics across this work include Spam and Phishing Detection (18 papers), Misinformation and Its Impacts (12 papers), Advanced Malware Detection Techniques (12 papers), Network Security and Intrusion Detection (8 papers), Hate Speech and Cyberbullying Detection (6 papers), Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Complex Network Analysis Techniques (6 papers). The work is most often cited by research in Signal Processing (176 citations), Information Systems (270 citations), Software (40 citations), Computer Networks and Communications (169 citations) and Artificial Intelligence (180 citations). Rishabh Kaushal has collaborated with scholars based in India, Netherlands and United Kingdom. Frequent co-authors include Arushi Gupta, Aditi Gupta, Ponnurangam Kumaraguru, Payal Bajaj, Deeksha Arora, Parul Sharma, Adriana Iamnitchi, Gerasimos Spanakis, Manmeet Kaur and Cătălina Goanță. Their work appears in journals such as Social Network Analysis and Mining, Multimedia Tools and Applications, Neural Computing and Applications, ACM Transactions on the Web and Computer Communications.
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.