Joshua C. Teitelbaum
- Economics and Econometrics top 5%
- General Decision Sciences top 2%
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Accounting top 10%
- Co-authors
- Levon BarseghyanFrancesca MolinariTed O’DonoghueAvinash SrinivasanJie WuJeffrey PrinceDaniel SchwarczLin Xu
- Topics
- Decision-Making and Behavioral Economics (11 papers)Law, Economics, and Judicial Systems (11 papers)Healthcare Policy and Management (8 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Joshua C. Teitelbaum
38 papers receiving 602 citations
Peers
Comparison fields: 5 of 78
- Economics and Econometrics 304
- General Decision Sciences 188
- Computer Networks and Communications 133
- Sociology and Political Science 127
- Accounting 63
Countries citing papers authored by Joshua C. Teitelbaum
This map shows the geographic impact of Joshua C. Teitelbaum'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 Joshua C. Teitelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua C. Teitelbaum more than expected).
Fields of papers citing papers by Joshua C. Teitelbaum
This network shows the impact of papers produced by Joshua C. Teitelbaum. 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 Joshua C. Teitelbaum. The network helps show where Joshua C. Teitelbaum may publish in the future.
Co-authorship network of co-authors of Joshua C. Teitelbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua C. Teitelbaum. A scholar is included among the top collaborators of Joshua C. Teitelbaum 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 Joshua C. Teitelbaum. Joshua C. Teitelbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 45 | |
| 13 | What Iranian leaders really say about doing away with Israel | 0 |
| 14 | A Unilateral Accident Model Under Ambiguity | 3 |
| 15 | Age, Tenure and Productivity of the U.S. Supreme Court: Are Term Limits Necessary? | 5 |
| 16 | 138 | |
| 17 | 11 | |
| 18 | Dueling for Da'wa: State vs. Society on the Saudi Internet | 24 |
| 19 | The rise and fall of the Hashimite Kingdom of Arabia | 8 |
| 20 | 5 |
About Joshua C. Teitelbaum
Joshua C. Teitelbaum is a scholar working on General Decision Sciences, Economics and Econometrics and Accounting, having authored 44 papers that have together received 665 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (11 papers), Law, Economics, and Judicial Systems (11 papers) and Healthcare Policy and Management (8 papers). The work is most often cited by research in General Decision Sciences (188 citations), Economics and Econometrics (304 citations) and Computer Networks and Communications (133 citations). Joshua C. Teitelbaum has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Levon Barseghyan, Francesca Molinari, Ted O’Donoghue, Avinash Srinivasan, Jie Wu, Jeffrey Prince, Daniel Schwarcz, Lin Xu, Surajeet Chakravarty and David Kelsey. Their work appears in journals such as American Economic Review, Econometrica and Journal of Economic Literature.
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.