Abdul Bais
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
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- Advanced Image and Video Retrieval Techniques 11
- Advanced Vision and Imaging 6
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- Indoor and Outdoor Localization Technologies 7
- Co-authors
- Muhammad Asad (8 shared papers)Julian Stöttinger (1 shared paper)Rehanullah Khan (2 shared papers)Allan Hanbury (1 shared paper)Lei Zhang (4 shared papers)Robert Sablatnig (8 shared papers)Yasser Morgan (7 shared papers)Nisar Ali (8 shared papers)
In The Last Decade
Abdul Bais
80 papers receiving 840 citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 253
- Analytical Chemistry 100
- Media Technology 67
- Plant Science 250
- Environmental Engineering 64
Countries citing papers authored by Abdul Bais
This map shows the geographic impact of Abdul Bais'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 Abdul Bais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Bais more than expected).
Fields of papers citing papers by Abdul Bais
This network shows the impact of papers produced by Abdul Bais. 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 Abdul Bais. The network helps show where Abdul Bais may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdul Bais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2011 | 103 | |
| 3 | 2020 | 63 | |
| 4 | 2019 | 28 | |
| 5 | 2023 | 26 | |
| 6 | 2021 | 25 | |
| 7 | 2017 | 23 | |
| 8 | 2016 | 22 | |
| 9 | 2021 | 19 | |
| 10 | 2006 | 19 | |
| 11 | 2022 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2017 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2006 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2016 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2024 | 13 |
About Abdul Bais
Abdul Bais is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Plant Science, Aerospace Engineering and Computer Networks and Communications, having authored 84 papers that have together received 883 indexed citations. Recurring topics across this work include Smart Agriculture and AI (15 papers), Robotics and Sensor-Based Localization (14 papers), Advanced Image and Video Retrieval Techniques (11 papers), Remote Sensing in Agriculture (9 papers), Spectroscopy and Chemometric Analyses (8 papers), Indoor and Outdoor Localization Technologies (7 papers), Laser-induced spectroscopy and plasma (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (253 citations), Analytical Chemistry (100 citations), Media Technology (67 citations), Plant Science (250 citations) and Environmental Engineering (64 citations). Abdul Bais has collaborated with scholars based in Canada, Pakistan and Austria. Frequent co-authors include Muhammad Asad, Julian Stöttinger, Rehanullah Khan, Allan Hanbury, Lei Zhang, Robert Sablatnig, Yasser Morgan, Nisar Ali, Sajid Saleem and Amina Hussein. Their work appears in journals such as IEEE Access, IEEE Transactions on Artificial Intelligence, Computers and Electronics in Agriculture, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Plasma Science.
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.