Qaiser Mahmood

1.2k total citations
10 papers, 94 citations indexed

About

Qaiser Mahmood is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qaiser Mahmood has authored 10 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qaiser Mahmood's work include Medical Image Segmentation Techniques (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Brain Tumor Detection and Classification (3 papers). Qaiser Mahmood is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Brain Tumor Detection and Classification (3 papers). Qaiser Mahmood collaborates with scholars based in Sweden, Germany and Australia. Qaiser Mahmood's co-authors include Mikael Persson, Andrew Mehnert, Stefan Jakobsson, Fredrik Edelvik, Anders Hedström, Andreas Fhager, Shaochuan Li, Stefan Candefjord, Antonio R. Porras and Babak Ehteshami Bejnordi and has published in prestigious journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Digital Imaging and IRBM.

In The Last Decade

Qaiser Mahmood

10 papers receiving 91 citations

Peers

Qaiser Mahmood
Comparison fields: 5 of 30
  • Computer Vision and Pattern Recognition 56
  • Neurology 41
  • Cognitive Neuroscience 21
  • Artificial Intelligence 16
  • Biomedical Engineering 16
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Citations per field, relative to Qaiser Mahmood
Qaiser Mahmood · 1×
Citations per year, relative to Qaiser Mahmood
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Countries citing papers authored by Qaiser Mahmood

Since Specialization
Citations

This map shows the geographic impact of Qaiser Mahmood'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 Qaiser Mahmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qaiser Mahmood more than expected).

Fields of papers citing papers by Qaiser Mahmood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qaiser Mahmood. 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 Qaiser Mahmood. The network helps show where Qaiser Mahmood may publish in the future.

Co-authorship network of co-authors of Qaiser Mahmood

This figure shows the co-authorship network connecting the top 25 collaborators of Qaiser Mahmood. A scholar is included among the top collaborators of Qaiser Mahmood 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 Qaiser Mahmood. Qaiser Mahmood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 16
2 32
3 5
4 2
5
Multi-modal MR Brain Segmentation Using Bayesian-based Adaptive MeanShift (BAMS)
1
6 14
7 1
8 6
9 12
10 5

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.

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2026