Khan M. Iftekharuddin
- Computer Vision and Pattern Recognition top 1%
- Neurology top 1%
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Lasitha VidyaratneSyed M. S. RezaMahbubul AlamLinmin PeiManar D. SamadRobert J. OggArastoo VossoughJustin M. Zook
- Topics
- Brain Tumor Detection and Classification (27 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)Medical Image Segmentation Techniques (21 papers)
- Journals
- Scientific ReportsIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Khan M. Iftekharuddin
178 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 960
- Neurology 732
- Artificial Intelligence 506
- Radiology, Nuclear Medicine and Imaging 488
- Cognitive Neuroscience 331
Countries citing papers authored by Khan M. Iftekharuddin
This map shows the geographic impact of Khan M. Iftekharuddin'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 Khan M. Iftekharuddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khan M. Iftekharuddin more than expected).
Fields of papers citing papers by Khan M. Iftekharuddin
This network shows the impact of papers produced by Khan M. Iftekharuddin. 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 Khan M. Iftekharuddin. The network helps show where Khan M. Iftekharuddin may publish in the future.
Co-authorship network of co-authors of Khan M. Iftekharuddin
This figure shows the co-authorship network connecting the top 25 collaborators of Khan M. Iftekharuddin. A scholar is included among the top collaborators of Khan M. Iftekharuddin 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 Khan M. Iftekharuddin. Khan M. Iftekharuddin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 42 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 47 | |
| 14 | 33 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | A Robust Spatial Domain Binary Signature Watermarking Technique | 1 |
| 19 | Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates. | 1 |
| 20 | 8 |
About Khan M. Iftekharuddin
Khan M. Iftekharuddin is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 188 papers that have together received 2.3k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (27 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Medical Image Segmentation Techniques (21 papers). The work is most often cited by research in Neurology (732 citations), Computer Vision and Pattern Recognition (960 citations) and Radiology, Nuclear Medicine and Imaging (488 citations). Khan M. Iftekharuddin has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Lasitha Vidyaratne, Syed M. S. Reza, Mahbubul Alam, Linmin Pei, Manar D. Samad, Robert J. Ogg, Arastoo Vossough, Justin M. Zook, Ronald Marsh and Jing Zheng. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Biomedical Engineering.
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.