Junaid Baber
Impact in
-
- Computational Drug Discovery Methods
-
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
Papers in
-
- Advanced Image and Video Retrieval Techniques 18
- Image Retrieval and Classification Techniques 13
- Video Analysis and Summarization 8
-
- Topic Modeling 7
- Sentiment Analysis and Opinion Mining 5
- Natural Language Processing Techniques 5
- Co-authors
- Maheen Bakhtyar (32 shared papers)Christine C. Humblet (3 shared papers)Miklós Fehér (5 shared papers)David C. Thompson (2 shared papers)Jason B. Cross (3 shared papers)Kristi Yi Fan (1 shared paper)Yongbo Hu (1 shared paper)Nitin Afzulpurkar (7 shared papers)
In The Last Decade
Junaid Baber
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 147
- Computational Theory and Mathematics 487
- Computer Vision and Pattern Recognition 282
- Artificial Intelligence 384
- Signal Processing 102
- Computer Science Applications 45
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 377 | |
| 2 | 2020 | 195 | |
| 3 | 2019 | 91 | |
| 4 | 2020 | 71 | |
| 5 | 2006 | 71 | |
| 6 | 2005 | 69 | |
| 7 | 2004 | 54 | |
| 8 | 2011 | 51 | |
| 9 | 2009 | 45 | |
| 10 | 2022 | 36 | |
| 11 | 2020 | 35 | |
| 12 | 2019 | 33 | |
| 13 | 2021 | 32 | |
| 14 | 2020 | 30 | |
| 15 | 2009 | 27 | |
| 16 | 2013 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2023 | 21 | |
| 19 | 2018 | 19 | |
| 20 | 2014 | 19 |
About Junaid Baber
Junaid Baber is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Media Technology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Image Retrieval and Classification Techniques (13 papers), Video Analysis and Summarization (8 papers), Computational Drug Discovery Methods (7 papers), Topic Modeling (7 papers), Sentiment Analysis and Opinion Mining (5 papers), Natural Language Processing Techniques (5 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Computational Theory and Mathematics (487 citations), Computer Vision and Pattern Recognition (282 citations), Artificial Intelligence (384 citations), Signal Processing (102 citations) and Computer Science Applications (45 citations). Junaid Baber has collaborated with scholars based in Pakistan, Thailand and France. Frequent co-authors include Maheen Bakhtyar, Christine C. Humblet, Miklós Fehér, David C. Thompson, Jason B. Cross, Kristi Yi Fan, Yongbo Hu, Nitin Afzulpurkar, Oh-Young Song and Muazzam Maqsood. Their work appears in journals such as Journal of Chemical Information and Modeling, IEEE Access, Sensors, Bioorganic & Medicinal Chemistry and Journal of Computer-Aided Molecular Design.
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.