Haseeb Hassan

69 total papers · 838 total citations
45 papers, 522 citations indexed

About

Haseeb Hassan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Haseeb Hassan has authored 45 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Haseeb Hassan's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neural Network Applications (8 papers) and Speech and Audio Processing (5 papers). Haseeb Hassan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Neural Network Applications (8 papers) and Speech and Audio Processing (5 papers). Haseeb Hassan collaborates with scholars based in China, Pakistan and Saudi Arabia. Haseeb Hassan's co-authors include Bingding Huang, Rui Li, Bin Luo, Roberto Negro, A. Pezzarossa, Davide Dazzi, Ali Kashif Bashir, Rabbia Mahum, Rashid Abbasi and Yan Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Haseeb Hassan

42 papers receiving 502 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Haseeb Hassan	167	164	108	89	58	45	522
Arnaldo Mayer	221 1.3×	256 1.6×	59 0.5×	105 1.2×	100 1.7×	45	582
Karl Sjöstrand	152 0.9×	76 0.5×	107 1.0×	68 0.8×	56 1.0×	28	449
Stéphanie Allassonnière	111 0.7×	244 1.5×	40 0.4×	153 1.7×	42 0.7×	41	597
Ehsan Hosseini-Asl	146 0.9×	138 0.8×	66 0.6×	194 2.2×	30 0.5×	18	459
April Khademi	231 1.4×	171 1.0×	29 0.3×	129 1.4×	34 0.6×	47	516
Seda Arslan Tuncer	113 0.7×	162 1.0×	31 0.3×	148 1.7×	76 1.3×	55	533
Fei Gao	185 1.1×	151 0.9×	33 0.3×	272 3.1×	31 0.5×	26	524
Enqing Dong	190 1.1×	175 1.1×	62 0.6×	152 1.7×	44 0.8×	68	579
Xiaoying Pan	73 0.4×	74 0.5×	37 0.3×	141 1.6×	40 0.7×	77	611
Jean‐Marc Girault	138 0.8×	75 0.5×	85 0.8×	42 0.5×	162 2.8×	66	594

Countries citing papers authored by Haseeb Hassan

Since Specialization

Citations

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

Fields of papers citing papers by Haseeb Hassan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haseeb Hassan

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

All Works

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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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