The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tanveer Syeda-Mahmood sits on this spectrum.
This scientist: 299 publications — 74th percentile
74% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tanveer Syeda-Mahmood sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Tanveer Syeda-Mahmood is affiliated with IBM in the United States and has contributed extensively to the fields of Medicine, Computer Science, and Biochemistry, Genetics and Molecular Biology. Their research spans multiple subfields, including Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition, and Biomedical Engineering.
Their work encompasses core topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI, Biomedical Text Mining and Ontologies, Artificial Intelligence in Healthcare and Education, Radiology practices and education, and Tuberculosis Research and Epidemiology.
Tanveer Syeda-Mahmood has published papers in various respected venues, with frequent publications in arXiv (Cornell University), Journal of Clinical Oncology, npj Digital Medicine, Nature Medicine, and JAMA Network Open. Notable papers include:
The scientist has collaborated frequently with colleagues such as Ken C. L. Wong, Hongzhi Wang, Satyananda Kashyap, Joy T. Wu, and Orest Boyko, with multiple co-authored publications.
Tanveer Syeda-Mahmood has authored books published by Springer Science+Business Media, including Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging (2022) and Multimodal Learning for Clinical Decision Support (2021).
Their contributions have been recognized with awards including Fellow of the Indian National Academy of Engineering (INAE) in 2020 and IEEE Fellow in 2011, the latter acknowledging contributions to content-based image and video indexing and retrieval.
M. Jorge Cardoso;Tal Arbel;Gustavo Carneiro;Tanveer Syeda-Mahmood
Tanveer F. Syeda-Mahmood
Tanveer F. Syeda-Mahmood
Danail Stoyanov;Zeike Taylor;Gustavo Carneiro;Tanveer Syeda-Mahmood
Ken C. L. Wong;Mehdi Moradi;Hui Tang;Tanveer Syeda-Mahmood
Cen Rao;Alexei Gritai;Mubarak Shah;Tanveer Syeda-Mahmood
Ali Madani;Mehdi Moradi;Alexandros Karargyris;Tanveer Syeda-Mahmood
Tina Hernandez-Boussard;Paul Macklin;Emily J Greenspan;Amy L Gryshuk
Ali Madani;Mehdi Moradi;Alexandros Karargyris;Tanveer F. Syeda-Mahmood
Rama Akkiraju;Biplav Srivastava;Anca-Andreea Ivan;Richard Goodwin
Tanveer Fathima Syeda-Mahmood
T. Syeda-Mahmood;A. Vasilescu;S. Sethi
Joy T. Wu;Ken C. L. Wong;Yaniv Gur;Nadeem Ansari
Tanveer Syeda-Mahmood;Dulce Ponceleon
T. Syeda-Mahmood;G. Shah;R. Akkiraju;A.-A. Ivan
Tanveer Syeda-Mahmood
Tanveer F. Syeda-Mahmood;Fei Wang
Tanveer F. Syeda-Mahmood
Wendy Chang;Gholamhosein Sheikholeslami;Aidong Zhang;Tanveer F. Syeda-Mahmood
Tanveer F. Syeda-Mahmood
Tanveer Syeda-Mahmood
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