Abid Sarwar
- Artificial Intelligence top 10%
- Health Information Management top 2%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Epidemiology
- Co-authors
- Vinod SharmaJatinder ManhasBaljit Singh SainiRajeev GuptaJyotsna SuriRafeeya ShamsOmdev DahiyaManik Rakhra
- Topics
- AI in cancer detection (15 papers)Cervical Cancer and HPV Research (10 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- Neural Computing and ApplicationsArtificial Intelligence ReviewMultimedia Tools and Applications
- Partner nations
- India
In The Last Decade
Abid Sarwar
26 papers receiving 304 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 184
- Health Information Management 92
- Radiology, Nuclear Medicine and Imaging 82
- Computer Vision and Pattern Recognition 67
- Epidemiology 50
Countries citing papers authored by Abid Sarwar
This map shows the geographic impact of Abid Sarwar'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 Abid Sarwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abid Sarwar more than expected).
Fields of papers citing papers by Abid Sarwar
This network shows the impact of papers produced by Abid Sarwar. 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 Abid Sarwar. The network helps show where Abid Sarwar may publish in the future.
Co-authorship network of co-authors of Abid Sarwar
This figure shows the co-authorship network connecting the top 25 collaborators of Abid Sarwar. A scholar is included among the top collaborators of Abid Sarwar 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 Abid Sarwar. Abid Sarwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 29 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 24 | |
| 12 | 57 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Artificial Intelligence Based Semi-automated Screening of Cervical CancerUsing a Primary Training Database | 1 |
| 18 | Performance evaluation of machine learning techniques for screening of cervical cancer | 8 |
| 19 | 34 | |
| 20 | 33 |
About Abid Sarwar
Abid Sarwar is a scholar working on Health Information Management, Artificial Intelligence and Epidemiology, having authored 26 papers that have together received 331 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Cervical Cancer and HPV Research (10 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Information Management (92 citations), Health Informatics (13 citations) and Artificial Intelligence (184 citations). Abid Sarwar has collaborated with scholars based in India. Frequent co-authors include Vinod Sharma, Jatinder Manhas, Baljit Singh Saini, Rajeev Gupta, Jyotsna Suri, Rafeeya Shams, Omdev Dahiya, Manik Rakhra, Varun Gupta and Waseem Akram. Their work appears in journals such as Neural Computing and Applications, Artificial Intelligence Review and Multimedia Tools and Applications.
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.