William S. Neilson

1.5k total citations
63 papers, 996 citations indexed

About

William S. Neilson is a scholar working on Economics and Econometrics, General Decision Sciences and Safety Research. According to data from OpenAlex, William S. Neilson has authored 63 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Economics and Econometrics, 24 papers in General Decision Sciences and 20 papers in Safety Research. Recurrent topics in William S. Neilson's work include Decision-Making and Behavioral Economics (24 papers), Experimental Behavioral Economics Studies (20 papers) and Economic and Environmental Valuation (13 papers). William S. Neilson is often cited by papers focused on Decision-Making and Behavioral Economics (24 papers), Experimental Behavioral Economics Studies (20 papers) and Economic and Environmental Valuation (13 papers). William S. Neilson collaborates with scholars based in United States, Canada and China. William S. Neilson's co-authors include Liqun Liu, James M. Griffin, Mark J. Machina, David C. Bell, Justin S. Baker, Sam Brody, Mary Riddel, W. Douglass Shaw, Richard T. Woodward and John P. Conley and has published in prestigious journals such as Econometrica, Management Science and The RAND Journal of Economics.

In The Last Decade

William S. Neilson

61 papers receiving 916 citations

Peers

William S. Neilson
Comparison fields: 5 of 87
  • Economics and Econometrics 629
  • General Decision Sciences 393
  • Safety Research 241
  • Management Science and Operations Research 229
  • Sociology and Political Science 158
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Citations per field, relative to William S. Neilson
William S. Neilson · 1×
Citations per year, relative to William S. Neilson
William S. Neilson · 1×

Countries citing papers authored by William S. Neilson

Since Specialization
Citations

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

Fields of papers citing papers by William S. Neilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William S. Neilson

This figure shows the co-authorship network connecting the top 25 collaborators of William S. Neilson. A scholar is included among the top collaborators of William S. Neilson 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 S. Neilson. William S. Neilson 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
# Work Indexed citations
1 1
2 4
3 5
4 2
5 1
6 47
7 6
8
Impulsive Actions and Agonizing Decisions
1
9 7
10
Beliefs About Other-Regarding Preferences in a Sequential Public Goods Game
0
11 89
12
Homework and performance for time-constrained students
7
13 21
14 29
15 2
16
Calibration results for rank-dependent expected utility
15
17 8
18
An Expected Utility-User's Guide to Nonexpected Utility Experiments
4
19 5
20 34

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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