William M. Goldstein

2.3k total citations
19 papers, 1.2k citations indexed

About

William M. Goldstein is a scholar working on General Decision Sciences, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, William M. Goldstein has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Decision Sciences, 6 papers in Economics and Econometrics and 4 papers in Management Science and Operations Research. Recurrent topics in William M. Goldstein's work include Decision-Making and Behavioral Economics (9 papers), Economic and Environmental Valuation (6 papers) and Behavioral Health and Interventions (3 papers). William M. Goldstein is often cited by papers focused on Decision-Making and Behavioral Economics (9 papers), Economic and Environmental Valuation (6 papers) and Behavioral Health and Interventions (3 papers). William M. Goldstein collaborates with scholars based in United States, Singapore and Germany. William M. Goldstein's co-authors include Hillel J. Einhorn, Robin M. Hogarth, Donald L. Fisher, Lene Arnett Jensen, Richard A. Shweder, Jerome R. Busemeyer, Ziv Carmon, Joel Huber, Haiyang Yang and Leaf Van Boven and has published in prestigious journals such as Psychological Review, Organizational Behavior and Human Decision Processes and Computers & Operations Research.

In The Last Decade

William M. Goldstein

19 papers receiving 1.1k citations

Peers

William M. Goldstein

GDS

MSOR

SPS

Gordon F. Pitz United States

Kurt A. Carlson United States

Ilan Fischer Israel

Jane Beattie United Kingdom

William F. Wright United States

Eyal Ert Israel

Robyn A. LeBoeuf United States

Charles F. Gettys United States

Ali al‐Nowaihi United Kingdom

Greg Barron United States

Gordon F. Pitz United States

William M. Goldstein

519 ×1.0

GDS

241 ×0.7

356 ×1.3

MSOR

198 ×1.0

SPS

180 ×0.9

Citations per year, relative to William M. Goldstein William M. Goldstein (= 1×) peers Gordon F. Pitz

Countries citing papers authored by William M. Goldstein

Since Specialization

Citations

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

Fields of papers citing papers by William M. Goldstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Goldstein

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

All Works

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19 of 19 papers shown

André, Quentin, Ziv Carmon, Klaus Wertenbroch, et al.. (2017). Consumer Choice and Autonomy in the Age of Artificial Intelligence and Big Data. RePEc: Research Papers in Economics. 5(1-2). 28–37. 180 indexed citations

Schweickert, Richard, Donald L. Fisher, & William M. Goldstein. (2010). Additive factors and stages of mental processes in task networks. Journal of Mathematical Psychology. 54(5). 405–414. 6 indexed citations

Goldstein, William M., Sema Barlas, & Jane Beattie. (2001). Talk about tradeoffs: judgements of relative importance and contingent decision behavior. Data Archiving and Networked Services (DANS). 2 indexed citations

Goldstein, William M. & Robin M. Hogarth. (1997). Judgment and decision research: Some historical context.. 70 indexed citations

Goldstein, William M. & Robin M. Hogarth. (1997). Research on Judgment and Decision Making: Currents, Connections, and Controversies. Medical Entomology and Zoology. 173 indexed citations

Shweder, Richard A., Lene Arnett Jensen, & William M. Goldstein. (1995). Who sleeps by whom revisited: A method for extracting the moral goods implicit in practice. New Directions for Child and Adolescent Development. 1995(67). 21–39. 90 indexed citations

Goldstein, William M. & Donald L. Fisher. (1992). Stochastic networks as models of cognition: Deriving predictions for resource-constrained mental processing. Journal of Mathematical Psychology. 36(1). 129–145. 9 indexed citations

Goldstein, William M., et al.. (1992). The relative importance of relative importance: Inferring other people's preferences from relative importance ratings and previous decisions. Organizational Behavior and Human Decision Processes. 51(3). 382–415. 14 indexed citations

Busemeyer, Jerome R. & William M. Goldstein. (1992). Linking together different measures of preference: A dynamic model of matching derived from decision field theory. Organizational Behavior and Human Decision Processes. 52(3). 370–396. 29 indexed citations

10.

Goldstein, William M. & Jerome R. Busemeyer. (1992). The effect of “irrelevant” variables on decision making: Criterion shifts in preferential choice?. Organizational Behavior and Human Decision Processes. 52(3). 425–454. 21 indexed citations

11.

Goldstein, William M.. (1991). Decomposable threshold models. Journal of Mathematical Psychology. 35(1). 64–79. 22 indexed citations

12.

Goldstein, William M. & Donald L. Fisher. (1991). Stochastic networks as models of cognition: Derivation of response time distributions using the Order-of-Processing method. Journal of Mathematical Psychology. 35(2). 214–241. 15 indexed citations

13.

Goldstein, William M.. (1990). Judgments of relative importance in decision making: Global vs local interpretations of subjective weight. Organizational Behavior and Human Decision Processes. 47(2). 313–336. 64 indexed citations

14.

Goldstein, William M. & Hillel J. Einhorn. (1989). Expression theory and the measurement of apparently labile values. Annals of Operations Research. 19(1). 51–78. 2 indexed citations

15.

Goldstein, William M. & Hillel J. Einhorn. (1987). Expression theory and the preference reversal phenomena.. Psychological Review. 94(2). 236–254. 37 indexed citations

16.

Goldstein, William M. & Hillel J. Einhorn. (1987). Expression theory and the preference reversal phenomena.. Psychological Review. 94(2). 236–254. 381 indexed citations

17.

Fisher, Donald L., et al.. (1985). Stochastic pert networks: OP diagrams, critical paths and the project completion time. Computers & Operations Research. 12(5). 471–482. 30 indexed citations

18.

Yates, J. Frank & William M. Goldstein. (1983). Personal decision aiding: Some observations about the Beach birth-planning procedure. Organizational Behavior and Human Performance. 31(1). 26–46. 4 indexed citations

19.

Fisher, Donald L. & William M. Goldstein. (1983). Stochastic PERT networks as models of cognition: Derivation of the mean, variance, and distribution of reaction time using Order-of-Processing (OP) diagrams. Journal of Mathematical Psychology. 27(2). 121–151. 73 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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