Humayun Irshad
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biophysics top 0.5%
- Molecular Biology
- Co-authors
- Daniel RacoceanuLudovic RouxAntoine VeillardHammad MajeedAndrew H. BeckOctavian BucurNicolas LoménieStuart J. Schnitt
- Topics
- AI in cancer detection (11 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Digital Imaging for Blood Diseases (5 papers)
- Partner nations
- United StatesFrancePakistan
In The Last Decade
Humayun Irshad
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 999
- Computer Vision and Pattern Recognition 728
- Radiology, Nuclear Medicine and Imaging 499
- Biophysics 437
- Molecular Biology 196
Countries citing papers authored by Humayun Irshad
This map shows the geographic impact of Humayun Irshad'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 Humayun Irshad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Humayun Irshad more than expected).
Fields of papers citing papers by Humayun Irshad
This network shows the impact of papers produced by Humayun Irshad. 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 Humayun Irshad. The network helps show where Humayun Irshad may publish in the future.
Co-authorship network of co-authors of Humayun Irshad
This figure shows the co-authorship network connecting the top 25 collaborators of Humayun Irshad. A scholar is included among the top collaborators of Humayun Irshad 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 Humayun Irshad. Humayun Irshad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 41 | |
| 3 | Study of Biodegradability by Graft Copolymerization of Starch Backbone with Acrylic Acid, Methacrylate, Acetonitrile with the Advancement of Ni-Doped Nanoparticles | 3 |
| 4 | 5 | |
| 5 | 164 | |
| 6 | 10 | |
| 7 | Maternal Malnutrition and Its Kick on ChildGrowth: An Alarming Trim for Pakistan | 10 |
| 8 | 2 | |
| 9 | 87 | |
| 10 | 86 | |
| 11 | 12 | |
| 12 | Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potentialbreakdown → | 458 |
| 13 | 33 | |
| 14 | 82 | |
| 15 | 121 | |
| 16 | 217 | |
| 17 | 23 | |
| 18 | m-HEALTH SYSTEM SUPPORT FOR LHWS WORKING IN RURAL AREAS | 3 |
| 19 | 95 | |
| 20 | 15 |
About Humayun Irshad
Humayun Irshad is a scholar working on Structural Biology, Biophysics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Digital Imaging for Blood Diseases (5 papers). The work is most often cited by research in Biophysics (437 citations), Structural Biology (52 citations) and Computer Vision and Pattern Recognition (728 citations). Humayun Irshad has collaborated with scholars based in United States, France and Pakistan. Frequent co-authors include Daniel Racoceanu, Ludovic Roux, Antoine Veillard, Hammad Majeed, Andrew H. Beck, Octavian Bucur, Nicolas Loménie, Stuart J. Schnitt, Laleh Montaser‐Kouhsari and Fei Dong. Their work appears in journals such as Nature Biotechnology, PLoS ONE and Cancer Research.
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.