Eric Eisenstat
Impact in
-
- Monetary Policy and Economic Impact
- Finance top 5%
- Financial Risk and Volatility Modeling
- Global Financial Crisis and Policies
Papers in
-
- Monetary Policy and Economic Impact 11
- Finance 7
- Financial Risk and Volatility Modeling 6
- Co-authors
- Joshua C. C. Chan (12 shared papers)Rodney W. Strachan (7 shared papers)Gary Koop (3 shared papers)Manuela Epure (1 shared paper)Luca Benati (1 shared paper)
- Journals
- Journal of Applied Econometrics (3 papers)Journal of Econometrics (2 papers)Journal of Economic Dynamics and Control (1 paper)Economics Letters (1 paper)Econometric Reviews (1 paper)
- Partner nations
- AustraliaUnited StatesRomania
In The Last Decade
Eric Eisenstat
16 papers receiving 242 citations
Peers
Comparison fields: 5 of 50
- General Economics, Econometrics and Finance 151
- Finance 98
- Economics and Econometrics 163
- Statistics and Probability 42
- Computational Mathematics 2
Countries citing papers authored by Eric Eisenstat
This map shows the geographic impact of Eric Eisenstat'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 Eric Eisenstat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Eisenstat more than expected).
Fields of papers citing papers by Eric Eisenstat
This network shows the impact of papers produced by Eric Eisenstat. 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 Eric Eisenstat. The network helps show where Eric Eisenstat may publish in the future.
Co-authors
The 5 scholars most cited alongside Eric Eisenstat, 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 | 2015 | 70 | |
| 2 | 2020 | 43 | |
| 3 | 2015 | 37 | |
| 4 | 2016 | 23 | |
| 5 | 2018 | 19 | |
| 6 | 2015 | 18 | |
| 7 | 2015 | 15 | |
| 8 | 2020 | 6 | |
| 9 | 2017 | 6 | |
| 10 | Semiotics and Persuasion in Marketing Communication | 2014 | 4 |
| 11 | 2018 | 3 | |
| 12 | 2014 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2019 | 1 |
About Eric Eisenstat
Eric Eisenstat is a scholar working on General Economics, Econometrics and Finance, Finance, Economics and Econometrics, Statistics and Probability and Management Science and Operations Research, having authored 16 papers that have together received 256 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (11 papers), Financial Risk and Volatility Modeling (6 papers), Market Dynamics and Volatility (5 papers), Statistical Methods and Inference (3 papers), Forecasting Techniques and Applications (2 papers), Transportation Planning and Optimization (2 papers), Climate Change Policy and Economics (1 paper) and Advanced Statistical Process Monitoring (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (151 citations), Finance (98 citations), Economics and Econometrics (163 citations), Statistics and Probability (42 citations) and Computational Mathematics (2 citations). Eric Eisenstat has collaborated with scholars based in Australia, United States and Romania. Frequent co-authors include Joshua C. C. Chan, Rodney W. Strachan, Gary Koop, Manuela Epure and Luca Benati. Their work appears in journals such as Journal of Applied Econometrics, Journal of Econometrics, Journal of Economic Dynamics and Control, Economics Letters and Econometric Reviews.
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.