Somaiya Khan
- Computer Vision and Pattern Recognition top 10%
- Safety, Risk, Reliability and Quality top 2%
- Global and Planetary Change
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Ali KhanBilal HassanAdnan Omer AbuassbaRamsha AhmedZhonglong ZhengZhongshan ZhangHai DengYinglei Teng
- Topics
- Video Surveillance and Tracking Methods (8 papers)Fire Detection and Safety Systems (6 papers)AI in cancer detection (4 papers)
- Cited by
- Safety, Risk, Reliability and QualityComputer Vision and Pattern RecognitionGlobal and Planetary Change
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- ChinaPakistanUnited States
In The Last Decade
Somaiya Khan
16 papers receiving 265 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 142
- Safety, Risk, Reliability and Quality 142
- Global and Planetary Change 77
- Artificial Intelligence 36
- Computer Networks and Communications 32
Countries citing papers authored by Somaiya Khan
This map shows the geographic impact of Somaiya Khan'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 Somaiya Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somaiya Khan more than expected).
Fields of papers citing papers by Somaiya Khan
This network shows the impact of papers produced by Somaiya Khan. 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 Somaiya Khan. The network helps show where Somaiya Khan may publish in the future.
Co-authorship network of co-authors of Somaiya Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Somaiya Khan. A scholar is included among the top collaborators of Somaiya Khan 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 Somaiya Khan. Somaiya Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 88 | |
| 11 | 28 | |
| 12 | 65 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 28 | |
| 16 | 1 |
About Somaiya Khan
Somaiya Khan is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 16 papers that have together received 273 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Fire Detection and Safety Systems (6 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (142 citations), Computer Vision and Pattern Recognition (142 citations) and Global and Planetary Change (77 citations). Somaiya Khan has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Ali Khan, Bilal Hassan, Adnan Omer Abuassba, Ramsha Ahmed, Zhonglong Zheng, Zhongshan Zhang, Hai Deng, Yinglei Teng, Rizwan Khan and Bo Li. 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.