Yohai Cohen

490 total citations
10 papers, 352 citations indexed

About

Yohai Cohen is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Yohai Cohen has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Experimental and Cognitive Psychology and 2 papers in Social Psychology. Recurrent topics in Yohai Cohen's work include Advanced Text Analysis Techniques (5 papers), Language, Metaphor, and Cognition (5 papers) and Natural Language Processing Techniques (4 papers). Yohai Cohen is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Language, Metaphor, and Cognition (5 papers) and Natural Language Processing Techniques (4 papers). Yohai Cohen collaborates with scholars based in Israel, United States and Germany. Yohai Cohen's co-authors include Yair Neuman, Dan Assaf, Peter D. Turney, Newton Howard, Shlomo Argamon, Mark Last, Moshe Koppel, Ophir Nave, Norbert Marwan and Zvi Bekerman and has published in prestigious journals such as PLoS ONE, Information Fusion and Artificial Intelligence in Medicine.

In The Last Decade

Yohai Cohen

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yohai Cohen Israel	7	242	221	94	31	27	10	352
Dan Assaf Israel	7	243 1.0×	216 1.0×	89 0.9×	31 1.0×	26 1.0×	11	349
Jean Fox Tree United States	5	213 0.9×	110 0.5×	26 0.3×	99 3.2×	4 0.1×	7	325
Salvador Climent Spain	8	138 0.6×	47 0.2×	26 0.3×	52 1.7×	4 0.1×	38	230
Sarah Ita Levitan United States	15	264 1.1×	73 0.3×	262 2.8×	31 1.0×	34 1.3×	35	451
Uriel Cohen Priva United States	13	222 0.9×	289 1.3×	17 0.2×	125 4.0×	6 0.2×	21	502
Justine Kao United States	8	188 0.8×	53 0.2×	58 0.6×	61 2.0×	2 0.1×	17	302
Rachel Morton United Kingdom	6	124 0.5×	196 0.9×	19 0.2×	72 2.3×	6 0.2×	7	287
Marc Tomlinson United States	9	156 0.6×	102 0.5×	23 0.2×	34 1.1×	1 0.0×	27	231
Daniel Wiechmann Germany	11	201 0.8×	63 0.3×	41 0.4×	134 4.3×	9 0.3×	37	370
Eva Strangert Sweden	12	250 1.0×	330 1.5×	24 0.3×	117 3.8×		35	438

Countries citing papers authored by Yohai Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Yohai Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohai Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Yohai Cohen. A scholar is included among the top collaborators of Yohai 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 Yohai Cohen. Yohai 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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10 of 10 papers shown

1.

Neuman, Yair, Norbert Marwan, & Yohai Cohen. (2014). Change in the Embedding Dimension as an Indicator of an Approaching Transition. PLoS ONE. 9(6). e101014–e101014. 4 indexed citations

2.

Neuman, Yair, Dan Assaf, Yohai Cohen, et al.. (2013). Metaphor Identification in Large Texts Corpora. PLoS ONE. 8(4). e62343–e62343. 68 indexed citations

3.

Assaf, Dan, Yair Neuman, Yohai Cohen, et al.. (2013). Why “dark thoughts” aren't really dark: A novel algorithm for metaphor identification. Touro Scholar (Touro College). 60–65. 21 indexed citations

4.

Neuman, Yair, et al.. (2012). Proactive screening for depression through metaphorical and automatic text analysis. Artificial Intelligence in Medicine. 56(1). 19–25. 47 indexed citations

5.

Neuman, Yair, Dan Assaf, & Yohai Cohen. (2012). A novel methodology for identifying emerging themes in small group dynamics. Bulletin of the Menninger Clinic. 76(1). 53–68. 6 indexed citations

6.

Neuman, Yair, Dan Assaf, & Yohai Cohen. (2012). Fusing distributional and experiential information for measuring semantic relatedness. Information Fusion. 14(3). 281–287. 7 indexed citations

7.

Neuman, Yair, Yohai Cohen, Zvi Bekerman, & Ophir Nave. (2012). A generic method for measuring the potential number of structure‐preserving transformations. Complexity. 18(1). 26–37. 2 indexed citations

8.

Turney, Peter D., Yair Neuman, Dan Assaf, & Yohai Cohen. (2011). Literal and Metaphorical Sense Identification through Concrete and Abstract Context. NPARC. 680–690. 175 indexed citations

9.

Neuman, Yair, Peter D. Turney, & Yohai Cohen. (2011). How Language Enables Abstraction: A Study in Computational Cultural Psychology. Integrative Psychological and Behavioral Science. 46(2). 129–145. 18 indexed citations

10.

Neuman, Yair, et al.. (2010). Using Web-Intelligence for Excavating the Emerging Meaning of Target-Concepts. 22–25. 4 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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