Esther Kaufmann

1.2k total citations
23 papers, 371 citations indexed

About

Esther Kaufmann is a scholar working on Artificial Intelligence, Management Science and Operations Research and Social Psychology. According to data from OpenAlex, Esther Kaufmann has authored 23 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 4 papers in Social Psychology. Recurrent topics in Esther Kaufmann's work include Decision-Making and Behavioral Economics (4 papers), Semantic Web and Ontologies (4 papers) and Forecasting Techniques and Applications (4 papers). Esther Kaufmann is often cited by papers focused on Decision-Making and Behavioral Economics (4 papers), Semantic Web and Ontologies (4 papers) and Forecasting Techniques and Applications (4 papers). Esther Kaufmann collaborates with scholars based in Switzerland, Germany and Chile. Esther Kaufmann's co-authors include Abraham Bernstein, Werner W. Wittmann, Ulf‐Dietrich Reips, James A. Athanasou, Katharina Maag Merki, David V. Budescu, Norbert E. Fuchs, Edgar E. Kausel, Tomás Reyes and Mark Klein and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the Association for Information Systems.

In The Last Decade

Esther Kaufmann

22 papers receiving 327 citations

Peers

Esther Kaufmann

MSOR

EDUCA

Renée Elio Canada

Marjorie McShane United States

Nancy Fulda United States

Patrick Langley United States

Robert Thomson United States

Ali Ünlü Germany

Heiko Rölke Germany

Suma Bhat United States

Anne R. Diekema United States

Renée Elio Canada

Esther Kaufmann

270 ×1.4

37 ×0.6

18 ×0.4

MSOR

54 ×1.4

45 ×1.2

EDUCA

Citations per year, relative to Esther Kaufmann Esther Kaufmann (= 1×) peers Renée Elio

Countries citing papers authored by Esther Kaufmann

Since Specialization

Citations

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

Fields of papers citing papers by Esther Kaufmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esther Kaufmann

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

All Works

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20 of 20 papers shown

Kaufmann, Esther, et al.. (2024). An overview of the effects of algorithm use on judgmental biases affecting forecasting. International Journal of Forecasting. 41(2). 424–439. 2 indexed citations

Kaufmann, Esther & Ulf‐Dietrich Reips. (2024). Meta-analysis in a digitalized world: A step-by-step primer. Behavior Research Methods. 56(7). 1–21. 3 indexed citations

Kaufmann, Esther. (2024). Teachers’ judgment accuracy: A replication check by psychometric meta-analysis. PLoS ONE. 19(7). e0307594–e0307594. 1 indexed citations

Kaufmann, Esther, et al.. (2023). Task-specific algorithm advice acceptance: A review and directions for future research. 7(3). 100040–100040. 14 indexed citations

Kaufmann, Esther. (2022). Lens model studies: Revealing teachers’ judgements for teacher education. Journal of Education for Teaching International Research and Pedagogy. 49(2). 236–251. 5 indexed citations

Kaufmann, Esther. (2021). Algorithm appreciation or aversion? Comparing in-service and pre-service teachers’ acceptance of computerized expert models. Computers and Education Artificial Intelligence. 2. 100028–100028. 17 indexed citations

Kaufmann, Esther. (2020). How accurately do teachers’ judge students? Re-analysis of Hoge and Coladarci (1989) meta-analysis. Contemporary Educational Psychology. 63. 101902–101902. 15 indexed citations

Kaufmann, Esther & David V. Budescu. (2019). Do Teachers Consider Advice? On the Acceptance of Computerized Expert Models. Journal of Educational Measurement. 57(2). 311–342. 14 indexed citations

Kaufmann, Esther & Werner W. Wittmann. (2018). Underestimated Swiss STEM potential? Bright light on an international PISA comparison. Cogent Education. 5(1). 1443373–1443373. 1 indexed citations

10.

Schumann, Stephan, et al.. (2017). Being an economic-civic competent citizen: A technology-based assessment of commercial apprentices in Germany and Switzerland. Empirical research in vocational education and training. 9(1). 5 indexed citations

11.

Kaufmann, Esther & Werner W. Wittmann. (2016). The Success of Linear Bootstrapping Models: Decision Domain-, Expertise-, and Criterion-Specific Meta-Analysis. PLoS ONE. 11(6). e0157914–e0157914. 20 indexed citations

12.

Kaufmann, Esther, Ulf‐Dietrich Reips, & Katharina Maag Merki. (2016). Avoiding Methodological Biases in Meta-Analysis. Zeitschrift für Psychologie. 224(3). 157–167. 24 indexed citations

13.

Athanasou, James A. & Esther Kaufmann. (2015). Probability of Responding: A Return to the Original Brunswik. SHILAP Revista de lepidopterología. 8(1). 7–16. 1 indexed citations

14.

Kaufmann, Esther, Ulf‐Dietrich Reips, & Werner W. Wittmann. (2013). A Critical Meta-Analysis of Lens Model Studies in Human Judgment and Decision-Making. PLoS ONE. 8(12). e83528–e83528. 23 indexed citations

15.

Kaufmann, Esther & James A. Athanasou. (2009). A Meta-Analysis of Judgment Achievement as Defined by the Lens Model Equation. Swiss Journal of Psychology. 68(2). 99–112. 20 indexed citations

16.

Kaufmann, Esther, et al.. (2006). Querix: A Natural Language Interface to Query Ontologies Based on Clarification Dialogs. 87 indexed citations

17.

Kaufmann, Esther, et al.. (2006). The idiographic approach in Social Judgment Theory : A meta-analysis of components of the Lens Model Equation (LME). 3 indexed citations

18.

Bernstein, Abraham, et al.. (2004). OBJECT SIMILARITY IN ONTOLOGIES: A FOUNDATION FOR BUSINESS INTELLIGENCE SYSTEMS AND HIGH-PERFORMANCE RETRIEVAL. Journal of the Association for Information Systems. 741–756. 2 indexed citations

19.

Bernstein, Abraham, et al.. (2004). Talking to the Semantic Web - A Controlled English Query Interface for Ontologies*. 18 indexed citations

20.

Kaufmann, Esther. (1991). A De Facto Farewell. MRS Bulletin. 16(3). 72–72. 1 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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