Daniel Friedman
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
- Safety Research top 5%
- Experimental Behavioral Economics Studies
Papers in
-
- Logic, programming, and type systems 3
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- Auction Theory and Applications 2
- Game Theory and Applications 1
- Co-authors
- Alessandra Cassar (1 shared paper)David Stern (1 shared paper)Duncan James (1 shared paper)Brett Williams (1 shared paper)Barry Sinervo (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)American Economic Review (1 paper)LISP and Symbolic Computation (1 paper)Games and Economic Behavior (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Friedman
8 papers receiving 270 citations
Peers
Comparison fields: 5 of 63
- General Decision Sciences 46
- Safety Research 104
- Management Science and Operations Research 86
- Software 22
- Marketing 42
Countries citing papers authored by Daniel Friedman
This map shows the geographic impact of Daniel Friedman'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 Daniel Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Friedman more than expected).
Fields of papers citing papers by Daniel Friedman
This network shows the impact of papers produced by Daniel Friedman. 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 Daniel Friedman. The network helps show where Daniel Friedman may publish in the future.
Co-authors
The 5 scholars most cited alongside Daniel Friedman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Economics Lab: An Intensive Course in Experimental Economics | 2004 | 98 |
| 2 | 2008 | 76 | |
| 3 | Theory and Misbehavior of First-Price Auctions: Comment | 1992 | 59 |
| 4 | 2018 | 32 | |
| 5 | 1996 | 23 | |
| 6 | 1996 | 5 | |
| 7 | 1980 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2016 | 0 |
About Daniel Friedman
Daniel Friedman is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Hardware and Architecture and Management Information Systems, having authored 9 papers that have together received 299 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Parallel Computing and Optimization Techniques (2 papers), Auction Theory and Applications (2 papers), Business Process Modeling and Analysis (1 paper), Experimental Behavioral Economics Studies (1 paper), Innovations in Educational Methods (1 paper), Game Theory and Applications (1 paper) and Economic and Environmental Valuation (1 paper). The work is most often cited by research in General Decision Sciences (46 citations), Safety Research (104 citations), Management Science and Operations Research (86 citations), Software (22 citations) and Marketing (42 citations). Daniel Friedman has collaborated with scholars based in United States. Frequent co-authors include Alessandra Cassar, David Stern, Duncan James, Brett Williams and Barry Sinervo. Their work appears in journals such as ACM SIGPLAN Notices, American Economic Review, LISP and Symbolic Computation, Games and Economic Behavior and Medical Entomology and Zoology.
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.