James S. Jordan

1.9k total citations
48 papers, 1.1k citations indexed

About

James S. Jordan is a scholar working on Economics and Econometrics, Management Science and Operations Research and Ecology. According to data from OpenAlex, James S. Jordan has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Economics and Econometrics, 20 papers in Management Science and Operations Research and 5 papers in Ecology. Recurrent topics in James S. Jordan's work include Economic theories and models (28 papers), Game Theory and Applications (16 papers) and Complex Systems and Time Series Analysis (8 papers). James S. Jordan is often cited by papers focused on Economic theories and models (28 papers), Game Theory and Applications (16 papers) and Complex Systems and Time Series Analysis (8 papers). James S. Jordan collaborates with scholars based in United States and Hong Kong. James S. Jordan's co-authors include Kim C. Border, Roy Radner, Frank C. Bellrose, Ward M. Sharp, Arijit Mukherji, J.L. Grimes, Leonid Hurwicz and Yakar Kannai and has published in prestigious journals such as American Economic Review, Econometrica and The Review of Economic Studies.

In The Last Decade

James S. Jordan

44 papers receiving 928 citations

Peers

James S. Jordan
Comparison fields: 5 of 95
  • Economics and Econometrics 603
  • Management Science and Operations Research 500
  • Safety Research 178
  • Sociology and Political Science 155
  • Gender Studies 103
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Citations per field, relative to James S. Jordan
James S. Jordan · 1×
Citations per year, relative to James S. Jordan
James S. Jordan · 1×

Countries citing papers authored by James S. Jordan

Since Specialization
Citations

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

Fields of papers citing papers by James S. Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James S. Jordan

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Jordan. A scholar is included among the top collaborators of James S. Jordan 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 James S. Jordan. James S. Jordan 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 3
2 39
3
The Economics of Accounting Information Systems
8
4 4
5 8
6 1
7 38
8 83
9 5
10 27
11 63
12
Allocation and Prediction in Stochastic Environments: An Elementary Theory
1
13 5
14
Informational Temporary Equilibria
1
15
Yield from an intensively hunted population of eastern fox squirrels
2
16 0
17
Animal damage to birch
1
18
Deer browsing in northern hardwoods after clearcutting. Effect on height, density, and stocking of regeneration of commercial species
3
19
Seeding and planting hemlock for ruffed grouse cover
14
20 7

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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