Swati Agarwal
- Molecular Biology
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence
- Sociology and Political Science
- Co-authors
- Ashish SurekaShashank YadavArun Kumar YadavB E DrysdaleShashi Kant TiwariRajnish Kumar ChaturvediBrashket SethAnuradha Yadav
- Topics
- Hate Speech and Cyberbullying Detection (7 papers)Spam and Phishing Detection (6 papers)Sentiment Analysis and Opinion Mining (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- IndiaUnited States
In The Last Decade
Swati Agarwal
38 papers receiving 552 citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 135
- Computer Networks and Communications 127
- Information Systems 127
- Artificial Intelligence 91
- Sociology and Political Science 49
Countries citing papers authored by Swati Agarwal
This map shows the geographic impact of Swati Agarwal'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 Swati Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Agarwal more than expected).
Fields of papers citing papers by Swati Agarwal
This network shows the impact of papers produced by Swati Agarwal. 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 Swati Agarwal. The network helps show where Swati Agarwal may publish in the future.
Co-authorship network of co-authors of Swati Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Agarwal. A scholar is included among the top collaborators of Swati Agarwal 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 Swati Agarwal. Swati Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 12 | |
| 8 | Perceived Caste Discrimination, Self Esteem and Self Determination among College Students Belonging to Scheduled Castes | 4 |
| 9 | 33 | |
| 10 | 3 | |
| 11 | Importance of Training Needs Assessment at the Radiation Protection Institute of the Ghana Atomic Energy Commission | 1 |
| 12 | 120 | |
| 13 | 1 | |
| 14 | Internalizing Problems, Externalizing Problems and Depression among Children under Institutional Care | 2 |
| 15 | 37 | |
| 16 | 25 | |
| 17 | 50 | |
| 18 | 32 | |
| 19 | 11 | |
| 20 | 98 |
About Swati Agarwal
Swati Agarwal is a scholar working on Developmental Neuroscience, Information Systems and Communication, having authored 39 papers that have together received 573 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (7 papers), Spam and Phishing Detection (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Information Systems (127 citations), Computer Networks and Communications (127 citations) and Developmental Neuroscience (17 citations). Swati Agarwal has collaborated with scholars based in India and United States. Frequent co-authors include Ashish Sureka, Shashank Yadav, Arun Kumar Yadav, B E Drysdale, Shashi Kant Tiwari, Rajnish Kumar Chaturvedi, Brashket Seth, Anuradha Yadav, Michael J. Sheridan and Nitish Mittal. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.