Hammad Qureshi

17 papers receiving 342 citations

Peers

Hammad Qureshi
Comparison fields: 5 of 62
  • Health Informatics 43
  • Artificial Intelligence 221
  • Computer Vision and Pattern Recognition 63
  • Radiology, Nuclear Medicine and Imaging 46
  • Biophysics 12
Replace Delia Alexandrina Mitrea with:
Delia Alexandrina Mitrea Romania
Ahmed Al‐Asadi United States
Żaneta Świderska-Chadaj Poland
Zeshan Hussain United States
Yu Deng United States
Xiaofei Luo Japan
Hamid Zouaki Morocco
Caleb Richter United States
Rijo Roy Germany
Hammad Qureshi relative to Delia Alexandrina Mitrea Romania Delia Alexandrina Mitrea's profile →
Citations per field
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Delia Alexandrina Mitrea · 1×
Citations per year

Countries citing papers authored by Hammad Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Hammad Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Hammad Qureshi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hammad Qureshi Line = papers co-authored together Hammad Qureshi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2019213
2 200850
3 200624
4 202419
5 200712
6 201310
7 20099
8 20105
9 20115
10 20074
11 20084
12 20194
13 20102
14 20122
15
Analysis of growth in Students Intake and Degree Awarding Contribution: A Comparison of Stanford and MIT.
20132
16 20211
17 20231
18 20110

About Hammad Qureshi

Hammad Qureshi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Information Management and Media Technology, having authored 18 papers that have together received 367 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Image Retrieval and Classification Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Remote-Sensing Image Classification (2 papers), Artificial Intelligence in Healthcare (2 papers), Handwritten Text Recognition Techniques (2 papers), Mathematical Analysis and Transform Methods (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Health Informatics (43 citations), Artificial Intelligence (221 citations), Computer Vision and Pattern Recognition (63 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Biophysics (12 citations). Hammad Qureshi has collaborated with scholars based in Pakistan, United Kingdom and Ireland. Frequent co-authors include Peter Hamilton, Ahmed Serag, Paul G. O’Reilly, Jim Diamond, Adrian Ion‐Mărgineanu, Nasir Rajpoot, Roland Wilson, Olcay Sertel, Metin N. Gürcan and Kashif Rajpoot. Their work appears in journals such as IEEE Access, Frontiers in Medicine, International Journal on Advanced Science Engineering and Information Technology, Lecture notes in computer science and SN Computer Science.

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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