Yoav Cohen

1.5k total citations
25 papers, 976 citations indexed

About

Yoav Cohen is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yoav Cohen has authored 25 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Social Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yoav Cohen's work include Software Engineering Research (3 papers), Medical Image Segmentation Techniques (3 papers) and Visual perception and processing mechanisms (2 papers). Yoav Cohen is often cited by papers focused on Software Engineering Research (3 papers), Medical Image Segmentation Techniques (3 papers) and Visual perception and processing mechanisms (2 papers). Yoav Cohen collaborates with scholars based in United States, Israel and United Kingdom. Yoav Cohen's co-authors include Michael I. Posner, Robert D. Rafal, Michael S. Landy, George Sperling, Anat Ben-Simon, Misha Pavel, Carmel Mevorach, Lilach Shalev, Yehoshua Tsal and Joseph Glicksohn and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Applied Psychology and Behaviour Research and Therapy.

In The Last Decade

Yoav Cohen

24 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoav Cohen United States	14	614	144	132	111	88	25	976
Tino Lourens Netherlands	14	382 0.6×	141 1.0×	53 0.4×	224 2.0×	44 0.5×	33	809
Ned T. Sahin United States	14	884 1.4×	80 0.6×	107 0.8×	89 0.8×	79 0.9×	16	1.1k
Jonathan Grier United States	10	611 1.0×	70 0.5×	240 1.8×	173 1.6×	101 1.1×	24	1.2k
Dietmar Heinke United Kingdom	17	1.2k 1.9×	184 1.3×	235 1.8×	245 2.2×	35 0.4×	59	1.4k
Mitchell Valdés-Sosa Cuba	23	1.2k 1.9×	107 0.7×	342 2.6×	161 1.5×	92 1.0×	59	1.6k
Christian Marendaz France	19	801 1.3×	101 0.7×	178 1.3×	104 0.9×	49 0.6×	40	1.0k
Andrey R. Nikolaev Belgium	21	1.1k 1.7×	73 0.5×	150 1.1×	139 1.3×	43 0.5×	65	1.3k
Trent Lewis Australia	16	873 1.4×	49 0.3×	103 0.8×	58 0.5×	91 1.0×	40	1.1k
Casimir J. H. Ludwig United Kingdom	23	1.4k 2.3×	238 1.7×	341 2.6×	163 1.5×	45 0.5×	55	1.7k
Sofiane Boucenna France	11	423 0.7×	72 0.5×	66 0.5×	266 2.4×	45 0.5×	20	717

Countries citing papers authored by Yoav Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Yoav Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Cohen

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

All Works

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20 of 20 papers shown

Cohen, Yoav, et al.. (2022). Symbol-Level Online Channel Tracking for Deep Receivers. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8897–8901. 4 indexed citations

Cohen, Yoav. (2019). The Handbook of Cognition and Assessment; Frameworks, Methodologies, and Applications. Assessment in Education Principles Policy and Practice. 26(5). 630–635. 29 indexed citations

Cohen, Yoav, et al.. (2014). Indices of Semantic Similarity for Automated Essay Scoring (AES) 1. 1 indexed citations

Shalev, Lilach, Anat Ben-Simon, Carmel Mevorach, Yoav Cohen, & Yehoshua Tsal. (2011). Conjunctive Continuous Performance Task (CCPT)—A pure measure of sustained attention. Neuropsychologia. 49(9). 2584–2591. 79 indexed citations

Gafni, Naomi, et al.. (2009). Applications of CAT in Admissions to Higher Education in Israel: Twenty-Two Years of Experience.

Ben-Simon, Anat, et al.. (2008). Regulating the Diagnosis of Learning Disability and the Provision of Test Accommodations in Institutions of Higher Education 1. 16 indexed citations

Cohen, Yoav, et al.. (2007). Translating and Adapting a Test, yet another Source of Variance; the Standard Error of Translation. 6 indexed citations

Ben-Simon, Anat & Yoav Cohen. (2004). International Assessments: Merits and Pitfalls. 4 indexed citations

Cohen, Yoav, et al.. (2003). Anxiety and selective attention in obsessive–compulsive disorder. Behaviour Research and Therapy. 41(11). 1311–1323. 46 indexed citations

10.

Cohen, Yoav, et al.. (2003). The Effect of Specific Language Features on the Complexity of Systems for Automated Essay Scoring.. 12 indexed citations

11.

Glicksohn, Joseph & Yoav Cohen. (1999). Can Music Alleviate Cognitive Dysfunction in Schizophrenia?. Psychopathology. 33(1). 43–47. 27 indexed citations

12.

Budescu, David V., Yoav Cohen, & Anat Ben-Simon. (1997). A Revised Modified Parallel Analysis for the Construction of Unidimensional Item Pools. Applied Psychological Measurement. 21(3). 233–252. 13 indexed citations

13.

Cohen, Yoav, Michael S. Landy, & Misha Pavel. (1985). Hierarchical Coding of Binary Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-7(3). 284–298. 36 indexed citations

14.

Landy, Michael S. & Yoav Cohen. (1985). Vectorgraph coding: Efficient coding of line drawings. Computer Vision Graphics and Image Processing. 30(3). 331–344. 16 indexed citations

15.

Sperling, George, Michael S. Landy, Yoav Cohen, & Misha Pavel. (1985). Intelligible encoding of ASL image sequences at extremely low information rates. Computer Vision Graphics and Image Processing. 31(3). 335–391. 46 indexed citations

16.

Landy, Michael S., Yoav Cohen, & George Sperling. (1984). HIPS: A unix-based image processing system. Computer Vision Graphics and Image Processing. 25(3). 331–347. 76 indexed citations

17.

Landy, Michael S., Yoav Cohen, & George Sperling. (1984). HIPS: Image processing under UNIX. Software and applications. Behavior Research Methods, Instruments, & Computers. 16(2). 199–216. 48 indexed citations

18.

Landy, Michael S. & Yoav Cohen. (1983). A UNIX∗-based image processing system. Computer Vision Graphics and Image Processing. 22(2). 311–311. 2 indexed citations

19.

Posner, Michael I., Yoav Cohen, & Robert D. Rafal. (1982). Neural systems control of spatial orienting. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 298(1089). 187–198. 440 indexed citations

20.

Lieblich, Israel, Gershon Ben‐Shakhar, Sol Kugelmass, & Yoav Cohen. (1978). Decision theory approach to the problem of polygraph interrogation.. Journal of Applied Psychology. 63(4). 489–498. 3 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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