Mohammad Ali Bagheri

25 total papers · 422 total citations
19 papers, 196 citations indexed

About

Mohammad Ali Bagheri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Mohammad Ali Bagheri has authored 19 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Mohammad Ali Bagheri's work include Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Face and Expression Recognition (3 papers). Mohammad Ali Bagheri is often cited by papers focused on Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Face and Expression Recognition (3 papers). Mohammad Ali Bagheri collaborates with scholars based in Canada, Spain and Iran. Mohammad Ali Bagheri's co-authors include Sérgio Escalera, Gholam Ali Montazer, Qigang Gao, Amir Amini, Ehsanollah Kabir, Sarah Power, Thomas B. Moeslund, Gang Hu, Albert Clapés and Ali Moosavi and has published in prestigious journals such as Sensors and Actuators B Chemical, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Mohammad Ali Bagheri

19 papers receiving 192 citations

Author Peers

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

Author Last Decade Papers Cites
Mohammad Ali Bagheri 87 74 53 44 22 19 196
Cemaleddin Şimşek 35 0.4× 53 0.7× 42 0.8× 81 1.8× 8 0.4× 22 248
Athina Tsanousa 37 0.4× 55 0.7× 36 0.7× 15 0.3× 2 0.1× 20 164
Salim Muhsin Wadi 78 0.9× 134 1.8× 50 0.9× 26 0.6× 1 0.0× 15 277
Praneeth Vepakomma 133 1.5× 115 1.6× 50 0.9× 28 0.6× 13 250
Hadi Salman 100 1.1× 73 1.0× 18 0.3× 27 0.6× 22 200
Yufan Wang 51 0.6× 60 0.8× 68 1.3× 16 0.4× 2 0.1× 23 209
Yong Wu 71 0.8× 143 1.9× 31 0.6× 16 0.4× 24 273
Prince Priya Malla 49 0.6× 51 0.7× 26 0.5× 48 1.1× 13 278
E. S. Gopi 59 0.7× 86 1.2× 19 0.4× 29 0.7× 34 225
Ruixia Liu 63 0.7× 45 0.6× 63 1.2× 20 0.5× 21 257

Countries citing papers authored by Mohammad Ali Bagheri

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali Bagheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ali Bagheri. 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 Mohammad Ali Bagheri. The network helps show where Mohammad Ali Bagheri may publish in the future.

Co-authorship network of co-authors of Mohammad Ali Bagheri

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Bagheri. A scholar is included among the top collaborators of Mohammad Ali Bagheri 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 Mohammad Ali Bagheri. Mohammad Ali Bagheri 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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