M. Arfan Jaffar
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Neurology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Anwar M. MirzaTae‐Sun ChoiAyyaz HussainQaisar AbbasMostafa E. A. IbrahimAhmad KhanAun IrtazaM. Sultan Zia
- Topics
- Image Retrieval and Classification Techniques (19 papers)Image and Signal Denoising Methods (19 papers)Medical Image Segmentation Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Soft Computing
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
M. Arfan Jaffar
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 812
- Artificial Intelligence 288
- Media Technology 234
- Neurology 188
- Experimental and Cognitive Psychology 164
Countries citing papers authored by M. Arfan Jaffar
This map shows the geographic impact of M. Arfan Jaffar'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 M. Arfan Jaffar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Arfan Jaffar more than expected).
Fields of papers citing papers by M. Arfan Jaffar
This network shows the impact of papers produced by M. Arfan Jaffar. 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 M. Arfan Jaffar. The network helps show where M. Arfan Jaffar may publish in the future.
Co-authorship network of co-authors of M. Arfan Jaffar
This figure shows the co-authorship network connecting the top 25 collaborators of M. Arfan Jaffar. A scholar is included among the top collaborators of M. Arfan Jaffar 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 M. Arfan Jaffar. M. Arfan Jaffar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 38 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 95 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | Classification and segmentation of brain tumor using texture analysis | 56 |
| 16 | DIRECTIONAL WEIGHTED MEDIAN BASED FUZZY FILTER FOR RANDOM-V ALUED IMPULSE NOISE REMOV AL | 4 |
| 17 | 14 | |
| 18 | Color video segmentation using Fuzzy C-mean clustering with spatial information | 1 |
| 19 | 9 | |
| 20 | 3 |
About M. Arfan Jaffar
M. Arfan Jaffar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (19 papers), Image and Signal Denoising Methods (19 papers) and Medical Image Segmentation Techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (812 citations), Media Technology (234 citations) and Neurology (188 citations). M. Arfan Jaffar has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Anwar M. Mirza, Tae‐Sun Choi, Ayyaz Hussain, Qaisar Abbas, Mostafa E. A. Ibrahim, Ahmad Khan, Aun Irtaza, M. Sultan Zia, Muhammad Ishtiaq and Ghazanfar Latif. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.
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.