Junaid Baber
Impact in
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- Computational Drug Discovery Methods
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- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 12
- Video Analysis and Summarization 8
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- Topic Modeling 7
- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 4
- Co-authors
- Maheen Bakhtyar (27 shared papers)Christine Humblet (3 shared papers)Jason B. Cross (3 shared papers)Miklós Fehér (5 shared papers)David C. Thompson (2 shared papers)K. Brajesh (1 shared paper)Kristi Fan (1 shared paper)Yongbo Hu (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)IEEE Access (3 papers)Sensors (3 papers)Applied Sciences (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)
- Partner nations
- PakistanThailandUnited States
In The Last Decade
Junaid Baber
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 145
- Computational Theory and Mathematics 468
- Computer Vision and Pattern Recognition 232
- Artificial Intelligence 305
- Signal Processing 84
- Computer Science Applications 34
Countries citing papers authored by Junaid Baber
This map shows the geographic impact of Junaid Baber'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 Junaid Baber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junaid Baber more than expected).
Fields of papers citing papers by Junaid Baber
This network shows the impact of papers produced by Junaid Baber. 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 Junaid Baber. The network helps show where Junaid Baber may publish in the future.
Co-authors
The 25 scholars most cited alongside Junaid Baber, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 354 | |
| 2 | 2020 | 169 | |
| 3 | 2019 | 76 | |
| 4 | 2005 | 62 | |
| 5 | 2020 | 61 | |
| 6 | 2006 | 57 | |
| 7 | 2004 | 46 | |
| 8 | 2011 | 46 | |
| 9 | 2009 | 43 | |
| 10 | 2020 | 32 | |
| 11 | 2022 | 31 | |
| 12 | 2009 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2021 | 26 | |
| 15 | 2013 | 23 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2014 | 18 | |
| 19 | 2007 | 15 | |
| 20 | 2022 | 14 |
About Junaid Baber
Junaid Baber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology and Signal Processing, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (12 papers), Video Analysis and Summarization (8 papers), Computational Drug Discovery Methods (7 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers), Text and Document Classification Technologies (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Computational Theory and Mathematics (468 citations), Computer Vision and Pattern Recognition (232 citations), Artificial Intelligence (305 citations), Signal Processing (84 citations) and Computer Science Applications (34 citations). Junaid Baber has collaborated with scholars based in Pakistan, Thailand and United States. Frequent co-authors include Maheen Bakhtyar, Christine Humblet, Jason B. Cross, Miklós Fehér, David C. Thompson, K. Brajesh, Kristi Fan, Yongbo Hu, Nitin Afzulpurkar and Muazzam Maqsood. Their work appears in journals such as Journal of Chemical Information and Modeling, IEEE Access, Sensors, Applied Sciences and Journal of Intelligent & Fuzzy Systems.
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.