Ali Khodabakhsh

597 citations
21 papers · 393 indexed · h-index 9
Topics
Speech Recognition and Synthesis (5 papers)Speech and Audio Processing (4 papers)Generative Adversarial Networks and Image Synthesis (4 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Journal of Selected Topics in Signal ProcessingMethods in molecular biology
Partner nations
TürkiyeNorwayIran

In The Last Decade

Ali Khodabakhsh

21 papers receiving 374 citations

Peers

Ali Khodabakhsh
Comparison fields: 5 of 59
  • Artificial Intelligence 230
  • Signal Processing 160
  • Computer Vision and Pattern Recognition 137
  • Psychiatry and Mental health 37
  • Cognitive Neuroscience 35
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Orith Toledo‐Ronen Israel
Aitzol Ezeiza Spain
Zahi N. Karam United States
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Kun-Yi Huang Taiwan
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Jackson Liscombe United States
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Citations per field
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Citations per year

Countries citing papers authored by Ali Khodabakhsh

Since Specialization
Citations

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

Fields of papers citing papers by Ali Khodabakhsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Khodabakhsh

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Unit-Selection Based Facial Video Manipulation Detection
1
3
A Generalizable Deepfake Detector based on Neural Conditional Distribution Modelling
7
4
Action-Independent Generalized Behavioral Identity Descriptors for Look-alike Recognition in Videos
2
5 8
6 15
7 9
8 3
9 91
10 2
11 13
12 75
13 2
14 55
15 58
16 14
17 12
18 6
19
Medical podcasting in Iran; pilot, implementation and attitude evaluation.
5
20 8

About Ali Khodabakhsh

Ali Khodabakhsh is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 21 papers that have together received 393 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (4 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). The work is most often cited by research in Signal Processing (160 citations), Artificial Intelligence (230 citations) and Computer Vision and Pattern Recognition (137 citations). Ali Khodabakhsh has collaborated with scholars based in Türkiye, Norway and Iran. Frequent co-authors include Cenk Demiroğlu, Christoph Busch, Raghavendra Ramachandra, Pankaj Wasnik, Kiran Raja, Daisuke Saito, Tomoki Toda, Junichi Yamagishi, Zhizheng Wu and Simon King. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Selected Topics in Signal Processing and Methods in molecular biology.

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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