Tzur M. Karelitz

17 papers receiving 322 citations

Peers

Tzur M. Karelitz
Comparison fields: 5 of 85
  • General Decision Sciences 94
  • Management Science and Operations Research 74
  • Developmental and Educational Psychology 46
  • Statistics and Probability 26
  • Experimental and Cognitive Psychology 37
Replace Hsiu‐Ting Yu with:
Hsiu‐Ting Yu Taiwan
Kimihiko Yamagishi Japan
Marc Jekel Germany
Terry Murray United States
Laura Macchi Italy
Dmitry V. Repin United States
Emre Soyer Spain
Gideon B. Keren Netherlands
Samuel A. Swift United States
Dan Schley United States
Tzur M. Karelitz relative to Hsiu‐Ting Yu Taiwan Hsiu‐Ting Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tzur M. Karelitz

Since Specialization
Citations

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

Fields of papers citing papers by Tzur M. Karelitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzur M. Karelitz. 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 Tzur M. Karelitz. The network helps show where Tzur M. Karelitz may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Tzur M. Karelitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tzur M. Karelitz Line = papers co-authored together Tzur M. Karelitz links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20231
2 20188
3 20135
4 201310
5 20127
6 201217
7
No Teacher Left Unqualified: How Teachers and Principals Respond to the Highly Qualified Mandate.
20111
8
Broadening the Spectrum of Undergraduate Admissions: The Kaleidoscope Project.
20108
9
Broadening the Spectrum of Undergraduate Admissions
20108
10 20109
11 200922
12 20089
13 200482
14 200413
15
Inter-Personal Communication of Precise and Imprecise Subjective Probabilities.
20038
16 200370
17 200366
18
Toward a Universal Translator of Verbal Probabilities
20021

About Tzur M. Karelitz

Tzur M. Karelitz is a scholar working on General Decision Sciences, Management Science and Operations Research and Statistics and Probability, having authored 18 papers that have together received 345 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (4 papers), Forecasting Techniques and Applications (4 papers), Bayesian Modeling and Causal Inference (3 papers), Advanced Text Analysis Techniques (3 papers), Higher Education Research Studies (2 papers), Educational and Psychological Assessments (2 papers), Social and Intergroup Psychology (2 papers) and Diverse Educational Innovations Studies (2 papers). The work is most often cited by research in General Decision Sciences (94 citations), Management Science and Operations Research (74 citations) and Developmental and Educational Psychology (46 citations). Tzur M. Karelitz has collaborated with scholars based in United States, Israel and Qatar. Frequent co-authors include David V. Budescu, Thomas S. Wallsten, Adrian K. Rantilla, Hsiu‐Ting Yu, Jimmy de la Torre, Abigail Jurist Levy, Gaëlle Villejoubert, Christina R. Bonney, Marie Juanchich and Pamela Ellis. Their work appears in journals such as Organizational Behavior and Human Decision Processes, Multivariate Behavioral Research and Journal of Behavioral Decision Making.

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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