Emile Servan-Schreiber

1.1k total citations
10 papers, 760 citations indexed

About

Emile Servan-Schreiber is a scholar working on Artificial Intelligence, Economics and Econometrics and Safety Research. According to data from OpenAlex, Emile Servan-Schreiber has authored 10 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Economics and Econometrics and 2 papers in Safety Research. Recurrent topics in Emile Servan-Schreiber's work include Sports Analytics and Performance (4 papers), Speech and dialogue systems (2 papers) and Experimental Behavioral Economics Studies (2 papers). Emile Servan-Schreiber is often cited by papers focused on Sports Analytics and Performance (4 papers), Speech and dialogue systems (2 papers) and Experimental Behavioral Economics Studies (2 papers). Emile Servan-Schreiber collaborates with scholars based in United States. Emile Servan-Schreiber's co-authors include John Anderson, David M. Pennock, Justin Wolfers, John R. Anderson, Lyle Ungar, Pavel Atanasov, Barbara A. Mellers, Philip E. Tetlock, Samuel A. Swift and Eric Stone and has published in prestigious journals such as Management Science, Journal of Experimental Psychology Learning Memory and Cognition and BMC Public Health.

In The Last Decade

Emile Servan-Schreiber

10 papers receiving 706 citations

Peers

Emile Servan-Schreiber

DEP

CN

EE

AI

MSOR

Ruma Falk Israel

Yaakov Kareev Israel

Michael H. Birnbaum United States

Charles F. Gettys United States

Clifford Konold United States

Paolo Legrenzi Italy

Daniel R. Cavagnaro United States

Henry Hamburger United States

James D. Laing United States

Michael Yeomans United States

Ruma Falk Israel

Emile Servan-Schreiber

149 ×0.6

DEP

144 ×0.7

CN

122 ×0.7

EE

201 ×1.1

AI

97 ×0.8

MSOR

Citations per year, relative to Emile Servan-Schreiber Emile Servan-Schreiber (= 1×) peers Ruma Falk

Countries citing papers authored by Emile Servan-Schreiber

Since Specialization

Citations

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

Fields of papers citing papers by Emile Servan-Schreiber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emile Servan-Schreiber. 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 Emile Servan-Schreiber. The network helps show where Emile Servan-Schreiber may publish in the future.

Co-authorship network of co-authors of Emile Servan-Schreiber

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

All Works

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10 of 10 papers shown

1.

Sell, Tara Kirk, et al.. (2021). Using prediction polling to harness collective intelligence for disease forecasting. BMC Public Health. 21(1). 2132–2132. 4 indexed citations

2.

Atanasov, Pavel, Eric Stone, Samuel A. Swift, et al.. (2016). Distilling the Wisdom of Crowds: Prediction Markets vs. Prediction Polls. Management Science. 63(3). 691–706. 96 indexed citations

3.

Servan-Schreiber, Emile, et al.. (2015). Hypermind vs. Big Data: Collective Intelligence Still Dominates Electoral Forecasting. 1 indexed citations

4.

Atanasov, Pavel, Eric Stone, Samuel A. Swift, et al.. (2015). Distilling the Wisdom of Crowds: Prediction Markets versus Prediction Polls. Academy of Management Proceedings. 2015(1). 15192–15192. 6 indexed citations

5.

Landemore, Hélène, Daniel Andler, Emile Servan-Schreiber, et al.. (2012). Collective Wisdom. Cambridge University Press eBooks. 65 indexed citations

6.

Servan-Schreiber, Emile, et al.. (2004). Prediction Markets: Does Money Matter?. Electronic Markets. 14(3). 243–251. 189 indexed citations

7.

Servan-Schreiber, Emile. (1991). The Competitive Chunking Theory: Models of Perception, Learning, and Memory. 11 indexed citations

8.

Servan-Schreiber, Emile & John R. Anderson. (1990). Learning artificial grammars with competitive chunking.. Journal of Experimental Psychology Learning Memory and Cognition. 16(4). 592–608. 63 indexed citations

9.

Servan-Schreiber, Emile & John Anderson. (1990). Learning artificial grammars with competitive chunking.. Journal of Experimental Psychology Learning Memory and Cognition. 16(4). 592–608. 301 indexed citations

10.

Mulsant, Benoit H. & Emile Servan-Schreiber. (1988). A Connectionist Approach to the Diagnosis of Dementia. PubMed Central. 245–250. 24 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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