Yuval Kalish

3.3k total citations · 1 hit paper
25 papers, 2.1k citations indexed

About

Yuval Kalish is a scholar working on Social Psychology, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Yuval Kalish has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 7 papers in Sociology and Political Science and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Yuval Kalish's work include Complex Network Analysis Techniques (7 papers), Cultural Differences and Values (4 papers) and Mental Health Research Topics (3 papers). Yuval Kalish is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Cultural Differences and Values (4 papers) and Mental Health Research Topics (3 papers). Yuval Kalish collaborates with scholars based in Israel, Australia and United States. Yuval Kalish's co-authors include Garry Robins, Philippa Pattison, Dean Lusher, Gil Luria, Hadas Stiebel‐Kalish, Alejandro Berenstein, Mark J. Kupersmith, Sharon Toker, Yasunari Niimi and Avi Setton and has published in prestigious journals such as Journal of Applied Psychology, Neurology and Ophthalmology.

In The Last Decade

Yuval Kalish

25 papers receiving 2.0k citations

Hit Papers

An introduction to expone... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuval Kalish Israel 18 631 567 237 219 211 25 2.1k
Rodrigo Costas Netherlands 35 775 1.2× 438 0.8× 89 0.4× 15 0.1× 380 1.8× 135 5.0k
Jason Kaufman United States 20 1.4k 2.2× 401 0.7× 173 0.7× 10 0.0× 495 2.3× 55 2.4k
Scott Clifford United States 25 1.7k 2.7× 60 0.1× 604 2.5× 39 0.2× 385 1.8× 53 3.1k
Roberta Sinatra Italy 27 532 0.8× 729 1.3× 161 0.7× 13 0.1× 55 0.3× 49 3.7k
Nigel Harvey United Kingdom 29 467 0.7× 67 0.1× 339 1.4× 24 0.1× 47 0.2× 94 2.5k
Matthew Baum United States 32 4.6k 7.4× 440 0.8× 333 1.4× 246 1.1× 2.6k 12.3× 93 7.2k
David García Austria 31 1.1k 1.7× 474 0.8× 366 1.5× 10 0.0× 412 2.0× 96 3.1k
Flaminio Squazzoni Italy 28 578 0.9× 244 0.4× 96 0.4× 9 0.0× 66 0.3× 105 2.4k
Dean Lusher Australia 32 1.4k 2.3× 774 1.4× 514 2.2× 6 0.0× 353 1.7× 76 4.1k
Arthur R. Cohen United States 23 1.1k 1.8× 165 0.3× 890 3.8× 48 0.2× 131 0.6× 29 2.7k

Countries citing papers authored by Yuval Kalish

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Kalish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuval Kalish

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Kalish. A scholar is included among the top collaborators of Yuval Kalish 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 Yuval Kalish. Yuval Kalish 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.
Luria, Gil, et al.. (2021). Safety climate strength: The negative effects of cliques and negative relationships in teams. Safety Science. 138. 105224–105224. 8 indexed citations
2.
Halevy, Nir & Yuval Kalish. (2021). Broadening Versus Deepening: Gender and Brokering in Social Networks. Social Psychological and Personality Science. 13(2). 618–625. 5 indexed citations
3.
Kalish, Yuval & Amalya L. Oliver. (2021). Reducing the cost of knowledge exchange in consortia: network analyses of multiple relations. The Journal of Technology Transfer. 47(3). 775–803. 3 indexed citations
4.
Kalish, Yuval & Gil Luria. (2020). Traits and time in leadership emergence: A longitudinal study. The Leadership Quarterly. 32(2). 101443–101443. 23 indexed citations
5.
Nudelman, Gabriel, Yuval Kalish, & Shoshana Shiloh. (2018). The centrality of health behaviours: A network analytic approach. British Journal of Health Psychology. 24(1). 215–236. 19 indexed citations
6.
Shwed, Uri, Yuval Kalish, & Yossi Shavit. (2018). Multicultural or Assimilationist Education: Contact Theory and Social Identity Theory in Israeli Arab–Jewish Integrated Schools. European Sociological Review. 34(6). 645–658. 18 indexed citations
7.
Kalish, Yuval & Gil Luria. (2016). Leadership emergence over time in short-lived groups: Integrating expectations states theory with temporal person-perception and self-serving bias.. Journal of Applied Psychology. 101(10). 1474–1486. 43 indexed citations
8.
Kalish, Yuval, Gil Luria, Sharon Toker, & Mina Westman. (2015). Till stress do us part: On the interplay between perceived stress and communication network dynamics.. Journal of Applied Psychology. 100(6). 1737–1751. 49 indexed citations
9.
Kalish, Yuval, et al.. (2014). Making Science: New Generations of Collaborative Knowledge Production. SSRN Electronic Journal. 1 indexed citations
10.
Luria, Gil, et al.. (2013). Learning disability and leadership: Becoming an effective leader. Journal of Organizational Behavior. 35(6). 747–761. 20 indexed citations
11.
Luria, Gil & Yuval Kalish. (2013). A Social Network Approach to Peer Assessment: Improving Predictive Validity. Human Resource Management. 52(4). 537–560. 20 indexed citations
12.
Shechner, Tomer, et al.. (2010). Relations between social support and psychological and parental distress for lesbian, single heterosexual by choice, and two-parent heterosexual mothers.. American Journal of Orthopsychiatry. 80(3). 283–292. 21 indexed citations
13.
Lichtenberg, Pesach, et al.. (2009). Israeli Norms for the Stanford Hypnotic Susceptibility Scale, Form C. International Journal of Clinical and Experimental Hypnosis. 57(2). 227–237. 12 indexed citations
14.
Oliver, Amalya L., Yuval Kalish, & Gad Yair. (2007). Reflections on “Brokerage and Closure”. Social Networks. 29(2). 330–339. 4 indexed citations
15.
Stiebel‐Kalish, Hadas, Yuval Kalish, Moshe Lusky, et al.. (2006). Puberty as a Risk Factor for Less Favorable Visual Outcome in Idiopathic Intracranial Hypertension. American Journal of Ophthalmology. 142(2). 279–283.e1. 44 indexed citations
16.
Stiebel‐Kalish, Hadas, Yuval Kalish, Avi Setton, et al.. (2005). Presentation, Natural History, and Management of Carotid Cavernous Aneurysms. Neurosurgery. 57(5). 850–857. 86 indexed citations
17.
Kalish, Yuval & Garry Robins. (2005). Psychological predispositions and network structure: The relationship between individual predispositions, structural holes and network closure. Social Networks. 28(1). 56–84. 266 indexed citations
18.
Stiebel‐Kalish, Hadas, et al.. (2004). Swedish Interactive Thresholding Algorithm Fast for following visual fields in prepubertal idiopathic intracranial hypertension. Ophthalmology. 111(9). 1673–1675. 20 indexed citations
19.
Stiebel‐Kalish, Hadas, et al.. (2003). Evolution of Oculomotor Nerve Paresis after Endovascular Coiling of Posterior Communicating Artery Aneurysms: A Neuro-ophthalmological Perspective. Neurosurgery. 53(6). 1268–1274. 62 indexed citations
20.
Stiebel‐Kalish, Hadas, et al.. (2002). Bilateral orbital signs predict cortical venous drainage in cavernous sinus dural AVMs. Neurology. 58(10). 1521–1524. 14 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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