Raheem Sarwar
- Artificial Intelligence top 5%
- Information Systems top 10%
- Sociology and Political Science
- Statistics, Probability and Uncertainty top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Saeed‐Ul HassanSarana NutanongRaheel NawazNaif Radi AljohaniThanawin RakthanmanonAmina MuazzamFrancisco HerreraEugenio Martínez‐Cámara
- Topics
- Topic Modeling (16 papers)Authorship Attribution and Profiling (15 papers)Natural Language Processing Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- United KingdomPakistanChina
In The Last Decade
Raheem Sarwar
48 papers receiving 480 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 309
- Information Systems 94
- Sociology and Political Science 89
- Statistics, Probability and Uncertainty 49
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Raheem Sarwar
This map shows the geographic impact of Raheem 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 Raheem Sarwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raheem Sarwar more than expected).
Fields of papers citing papers by Raheem Sarwar
This network shows the impact of papers produced by Raheem 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 Raheem Sarwar. The network helps show where Raheem Sarwar may publish in the future.
Co-authorship network of co-authors of Raheem Sarwar
This figure shows the co-authorship network connecting the top 25 collaborators of Raheem Sarwar. A scholar is included among the top collaborators of Raheem 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 Raheem Sarwar. Raheem 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 41 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 13 | |
| 18 | 15 | |
| 19 | 18 | |
| 20 | 14 |
About Raheem Sarwar
Raheem Sarwar is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Health Informatics, having authored 54 papers that have together received 492 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Authorship Attribution and Profiling (15 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (309 citations), Statistics, Probability and Uncertainty (49 citations) and Information Systems (94 citations). Raheem Sarwar has collaborated with scholars based in United Kingdom, Pakistan and China. Frequent co-authors include Saeed‐Ul Hassan, Sarana Nutanong, Raheel Nawaz, Naif Radi Aljohani, Thanawin Rakthanmanon, Amina Muazzam, Francisco Herrera, Eugenio Martínez‐Cámara, Sebastián Ventura and Yuwen Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with 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.