Ali Bakhtiari

46 total papers · 553 total citations
22 papers, 318 citations indexed

About

Ali Bakhtiari is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ali Bakhtiari has authored 22 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Ali Bakhtiari's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Image Retrieval and Classification Techniques (4 papers) and Glioma Diagnosis and Treatment (3 papers). Ali Bakhtiari is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Image Retrieval and Classification Techniques (4 papers) and Glioma Diagnosis and Treatment (3 papers). Ali Bakhtiari collaborates with scholars based in Iran, United States and Canada. Ali Bakhtiari's co-authors include Nizar Bouguila, Poupak Rahimzadeh, Farnad Imani, Seyed Hamid Reza Faiz, Markus M. Luedi, Pascal O. Zinn, Ginu Thomas, Rivka R. Colen, Aikaterini Kotrotsou and Ali Asghar Beheshti Shirazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Ali Bakhtiari

21 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Ali Bakhtiari 99 96 48 47 35 22 318
Abhishek Sethi 26 0.3× 55 0.6× 17 0.4× 95 2.0× 30 0.9× 22 347
Adrian Levine 31 0.3× 105 1.1× 16 0.3× 102 2.2× 23 0.7× 25 284
David Molina 69 0.7× 165 1.7× 11 0.2× 70 1.5× 11 0.3× 17 316
Katerina Nikiforaki 22 0.2× 221 2.3× 25 0.5× 88 1.9× 29 0.8× 39 335
Atsushi Keyaki 54 0.5× 31 0.3× 85 1.8× 35 0.7× 7 0.2× 44 294
Marvin Lerousseau 41 0.4× 235 2.4× 14 0.3× 62 1.3× 38 1.1× 13 329
Haihan Duan 25 0.3× 72 0.8× 9 0.2× 75 1.6× 31 0.9× 33 261
J. Moutinho 27 0.3× 24 0.3× 48 1.0× 29 0.6× 30 0.9× 20 363
J. Buurman 22 0.2× 129 1.3× 20 0.4× 49 1.0× 10 0.3× 17 253
Jean-Marie Moureaux 59 0.6× 46 0.5× 8 0.2× 28 0.6× 152 4.3× 36 317

Countries citing papers authored by Ali Bakhtiari

Since Specialization
Citations

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

Fields of papers citing papers by Ali Bakhtiari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Bakhtiari

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