Surabhi Adhikari
- Artificial Intelligence top 10%
- Information Systems top 10%
- Health Informatics top 5%
- Radiology, Nuclear Medicine and Imaging
- Management Science and Operations Research
- Co-authors
- Surendrabikram ThapaRahul KumarAvinash Kumar JhaGnana BharathyMukesh PrasadUsman NaseemAnkit KumarHuan Huo
- Topics
- Topic Modeling (4 papers)Natural Language Processing Techniques (3 papers)Hate Speech and Cyberbullying Detection (2 papers)
- Journals
- Neural NetworksAnnals of Biomedical EngineeringInternational Journal of Human-Computer Studies
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Surabhi Adhikari
12 papers receiving 276 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 142
- Information Systems 49
- Health Informatics 42
- Radiology, Nuclear Medicine and Imaging 37
- Management Science and Operations Research 22
Countries citing papers authored by Surabhi Adhikari
This map shows the geographic impact of Surabhi Adhikari'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 Surabhi Adhikari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surabhi Adhikari more than expected).
Fields of papers citing papers by Surabhi Adhikari
This network shows the impact of papers produced by Surabhi Adhikari. 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 Surabhi Adhikari. The network helps show where Surabhi Adhikari may publish in the future.
Co-authorship network of co-authors of Surabhi Adhikari
This figure shows the co-authorship network connecting the top 25 collaborators of Surabhi Adhikari. A scholar is included among the top collaborators of Surabhi Adhikari 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 Surabhi Adhikari. Surabhi Adhikari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 64 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 37 | |
| 8 | 33 | |
| 9 | 31 | |
| 10 | 9 | |
| 11 | 23 | |
| 12 | 45 | |
| 13 | 16 |
About Surabhi Adhikari
Surabhi Adhikari is a scholar working on Health Informatics, General Social Sciences and Artificial Intelligence, having authored 13 papers that have together received 299 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Health Informatics (42 citations), Artificial Intelligence (142 citations) and Health Information Management (16 citations). Surabhi Adhikari has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Surendrabikram Thapa, Rahul Kumar, Avinash Kumar Jha, Gnana Bharathy, Mukesh Prasad, Usman Naseem, Ankit Kumar, Huan Huo, Priyanka Singh and Hai Lü. Their work appears in journals such as Neural Networks, Annals of Biomedical Engineering and International Journal of Human-Computer Studies.
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.