Dan Assaf

509 total citations
11 papers, 349 citations indexed

About

Dan Assaf is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Dan Assaf has authored 11 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Dan Assaf's work include Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (5 papers) and Language, Metaphor, and Cognition (5 papers). Dan Assaf is often cited by papers focused on Advanced Text Analysis Techniques (5 papers), Natural Language Processing Techniques (5 papers) and Language, Metaphor, and Cognition (5 papers). Dan Assaf collaborates with scholars based in Israel, United States and Canada. Dan Assaf's co-authors include Yair Neuman, Yohai Cohen, Peter D. Turney, Shlomo Argamon, Newton Howard, Mark Last, James L. Knoll, Moshe Koppel and Marcel Danesi and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Information Fusion.

In The Last Decade

Dan Assaf

10 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Assaf Israel	7	243	216	89	31	26	11	349
Yohai Cohen Israel	7	242 1.0×	221 1.0×	94 1.1×	31 1.0×	27 1.0×	10	352
Guy Denhière France	9	137 0.6×	101 0.5×	29 0.3×	34 1.1×	4 0.2×	51	342
Jean Fox Tree United States	5	213 0.9×	110 0.5×	26 0.3×	99 3.2×	4 0.2×	7	325
Sarah Ita Levitan United States	15	264 1.1×	73 0.3×	262 2.9×	31 1.0×	34 1.3×	35	451
Salvador Climent Spain	8	138 0.6×	47 0.2×	26 0.3×	52 1.7×	4 0.2×	38	230
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 0.7×	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 0.3×	34 1.1×	1 0.0×	27	231
Daniel Wiechmann Germany	11	201 0.8×	63 0.3×	41 0.5×	134 4.3×	9 0.3×	37	370

Countries citing papers authored by Dan Assaf

Since Specialization

Citations

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

Fields of papers citing papers by Dan Assaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Assaf

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

All Works

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11 of 11 papers shown

1.

Neuman, Yair, et al.. (2017). Identifying the Meta-Forms of Situations. 1(1). 56–71.

2.

Neuman, Yair, et al.. (2015). Identifying the location of a concealed object through unintentional eye movements. Frontiers in Psychology. 6. 381–381. 2 indexed citations

3.

Neuman, Yair, et al.. (2015). Profiling School Shooters: Automatic Text-Based Analysis. Frontiers in Psychiatry. 6. 86–86. 16 indexed citations

4.

Neuman, Yair, et al.. (2015). How do we understand the meaning of connotations? A cognitive computational model. Semiotica. 2015(205). 1–16. 2 indexed citations

5.

Assaf, Dan, et al.. (2015). Opposition theory and computational semiotics. Sign Systems Studies. 43(2/3). 159–172. 5 indexed citations

6.

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

7.

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

8.

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

9.

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

10.

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

11.

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

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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