Ira L. Cohen

10.8k total citations · 1 hit paper
123 papers, 7.0k citations indexed

About

Ira L. Cohen is a scholar working on Cognitive Neuroscience, Genetics and Artificial Intelligence. According to data from OpenAlex, Ira L. Cohen has authored 123 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 35 papers in Genetics and 27 papers in Artificial Intelligence. Recurrent topics in Ira L. Cohen's work include Autism Spectrum Disorder Research (53 papers), Genetics and Neurodevelopmental Disorders (34 papers) and Face and Expression Recognition (17 papers). Ira L. Cohen is often cited by papers focused on Autism Spectrum Disorder Research (53 papers), Genetics and Neurodevelopmental Disorders (34 papers) and Face and Expression Recognition (17 papers). Ira L. Cohen collaborates with scholars based in United States, Netherlands and Canada. Ira L. Cohen's co-authors include Thomas S. Huang, Nicu Sebe, W. Ted Brown, Moisés Goldszmidt, Ashutosh Garg, Julie Symons, Fábio Gagliardi Cozman, Terence Kelly, Ved Chauhan and Abha Chauhan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal of Psychiatry and American Psychologist.

In The Last Decade

Ira L. Cohen

123 papers receiving 6.5k citations

Hit Papers

Facial expression recogni... 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Facial expression recognition from video sequences: temporal and static modeling
    2003 583 citations Ira L. Cohen, Nicu Sebe et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ira L. Cohen United States 46 2.6k 1.5k 1.4k 1.3k 1.2k 123 7.0k
P. Mermelstein Canada 49 711 0.3× 1.3k 0.8× 1.1k 0.8× 3.5k 2.6× 579 0.5× 246 11.2k
Miguel Castelo‐Branco Portugal 46 3.7k 1.5× 206 0.1× 173 0.1× 220 0.2× 430 0.3× 487 7.9k
Nilanjan Sarkar United States 44 2.3k 0.9× 244 0.2× 1.1k 0.8× 483 0.4× 185 0.1× 249 6.5k
Christoph Schmitz Germany 57 1.7k 0.6× 868 0.6× 146 0.1× 466 0.3× 391 0.3× 370 11.8k
Jagath C. Rajapakse Singapore 37 2.4k 0.9× 251 0.2× 1.0k 0.7× 1.0k 0.8× 57 0.0× 214 7.7k
Kenji Doya Japan 50 7.5k 3.0× 98 0.1× 740 0.5× 2.3k 1.7× 206 0.2× 219 13.1k
Sebastian Möller Germany 35 760 0.3× 76 0.1× 1.6k 1.2× 1.1k 0.8× 433 0.3× 475 5.7k
Ian Spence Australia 35 738 0.3× 273 0.2× 602 0.4× 433 0.3× 94 0.1× 154 5.2k
Timo Ahonen Finland 48 960 0.4× 235 0.2× 4.6k 3.4× 737 0.5× 49 0.0× 161 11.0k
Christopher S. Wallace United States 27 740 0.3× 215 0.1× 263 0.2× 1.2k 0.9× 146 0.1× 60 5.4k

Countries citing papers authored by Ira L. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Ira L. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ira L. Cohen. 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 Ira L. Cohen. The network helps show where Ira L. Cohen may publish in the future.

Co-authorship network of co-authors of Ira L. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Ira L. Cohen. A scholar is included among the top collaborators of Ira L. Cohen 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 Ira L. Cohen. Ira L. Cohen 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
1.
Cohen, Ira L., et al.. (2018). Real-time anomaly detection system for time series at scale. Knowledge Discovery and Data Mining. 56–65. 10 indexed citations
2.
Węgiel, Jerzy, Michael Flory, Izabela Kuchna, et al.. (2014). Stereological study of the neuronal number and volume of 38 brain subdivisions of subjects diagnosed with autism reveals significant alterations restricted to the striatum, amygdala and cerebellum. Acta Neuropathologica Communications. 2(1). 141–141. 110 indexed citations
3.
Węgiel, Jerzy, Izabela Kuchna, Krzysztof Nowicki, et al.. (2013). Contribution of olivofloccular circuitry developmental defects to atypical gaze in autism. Brain Research. 1512. 106–122. 38 indexed citations
4.
Cohen, Ira L., et al.. (2010). Creating the knowledge about IT events. Biochemical Society Transactions. 44(6). 1–1. 3 indexed citations
5.
Mazur‐Kolecka, Bozena, Ira L. Cohen, Edmund C. Jenkins, et al.. (2009). Sera from Children with Autism Alter Proliferation of Human Neuronal Progenitor Cells Exposed to Oxidation. Neurotoxicity Research. 16(1). 87–95. 11 indexed citations
6.
Mazur‐Kolecka, Bozena, Ira L. Cohen, Edmund C. Jenkins, et al.. (2007). Altered development of neuronal progenitor cells after stimulation with autistic blood sera. Brain Research. 1168. 11–20. 12 indexed citations
7.
Goldszmidt, Moisés, Ira L. Cohen, Armando Fox, & Steve Zhang. (2005). Three research challenges at the intersection of machine learning, statistical induction, and systems. 10–10. 10 indexed citations
8.
Sebe, Nicu, Ira L. Cohen, Ashutosh Garg, & Thomas S. Huang. (2005). Machine Learning in Computer Vision (Computational Imaging and Vision). Springer eBooks. 6 indexed citations
9.
Zhang, Shengwen, Ira L. Cohen, Moisés Goldszmidt, Julie Symons, & Armando Fox. (2005). Ensembles of Models for Automated Diagnosis of System Performance Problems. 644–653. 111 indexed citations
10.
Sebe, Nicu, Ira L. Cohen, Theo Gevers, & Thomas S. Huang. (2005). <title>Multimodal approaches for emotion recognition: a survey</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5670. 56–67. 88 indexed citations
11.
Cohen, Ira L., Moisés Goldszmidt, Terence Kelly, Julie Symons, & Jeffrey S. Chase. (2004). Correlating instrumentation data to system states: a building block for automated diagnosis and control. Operating Systems Design and Implementation. 16–16. 357 indexed citations
12.
Lee, Sung‐Uk & Ira L. Cohen. (2004). 3D hand reconstruction from a monocular view. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 310–313 Vol.3. 11 indexed citations
13.
Cozman, Fábio Gagliardi, et al.. (2003). Semi-supervised learning of mixture models. International Conference on Machine Learning. 99–106. 125 indexed citations
14.
15.
Cozman, Fábio Gagliardi & Ira L. Cohen. (2002). Unlabeled Data Can Degrade Classification Performance of Generative Classifiers. The Florida AI Research Society. 327–331. 96 indexed citations
16.
Das, Jitendra Kumar, et al.. (2002). Self-aware services: using Bayesian networks for detecting anomalies in Internet-based services. 623–638. 28 indexed citations
17.
Linday, Linda A., et al.. (2001). Famotidine treatment of children with autistic spectrum disorders: pilot research using single subject research design. Journal of Neural Transmission. 108(5). 593–611. 23 indexed citations
18.
Cohen, Ira L., Sarah L. Nolin, Vicki Sudhalter, et al.. (1996). Mosaicism for theFMR1 gene influences adaptive skills development in fragile X-affected males. American Journal of Medical Genetics. 64(2). 365–369. 40 indexed citations
19.
Cohen, Ira L., et al.. (1994). Diagnosing autism: a neural net-based tool. 8(3). 22–25. 1 indexed citations
20.
Brooks, Susan Sklower, et al.. (1991). Cytogenetically negative, linkage positive “fragile X” syndrome. American Journal of Medical Genetics. 38(2-3). 370–373. 2 indexed citations

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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