J. D. Sargan
- Economics and Econometrics top 0.1%
- General Economics, Econometrics and Finance top 0.2%
- Finance top 0.5%
- Statistics and Probability top 0.2%
- Accounting top 1%
- Co-authors
- Arnold ZellnerAlok BhargavaKelvin LancasterClive W. J. GrangerMichio HatanakaPhoebus J. DhrymesStephen E. FienbergGary Fromm
- Topics
- Monetary Policy and Economic Impact (9 papers)Statistical Methods and Inference (7 papers)Complex Systems and Time Series Analysis (6 papers)
- Partner nations
- United Kingdom
In The Last Decade
J. D. Sargan
53 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Economics and Econometrics 3.6k
- General Economics, Econometrics and Finance 2.1k
- Finance 1.3k
- Statistics and Probability 1.2k
- Accounting 735
Countries citing papers authored by J. D. Sargan
This map shows the geographic impact of J. D. Sargan'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 J. D. Sargan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D. Sargan more than expected).
Fields of papers citing papers by J. D. Sargan
This network shows the impact of papers produced by J. D. Sargan. 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 J. D. Sargan. The network helps show where J. D. Sargan may publish in the future.
Co-authorship network of co-authors of J. D. Sargan
This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Sargan. A scholar is included among the top collaborators of J. D. Sargan 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 J. D. Sargan. J. D. Sargan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 82 | |
| 7 | 9 | |
| 8 | 272 | |
| 9 | 466 | |
| 10 | 94 | |
| 11 | 24 | |
| 12 | 36 | |
| 13 | An Introduction to Bayesian Inference in Econometrics.breakdown → | 1450 |
| 14 | 28 | |
| 15 | Consumer Demand. A New Approach.breakdown → | 655 |
| 16 | 3 | |
| 17 | 38 | |
| 18 | 60 | |
| 19 | The Estimation of Economic Relationships using Instrumental Variablesbreakdown → | 2251 |
| 20 | 12 |
About J. D. Sargan
J. D. Sargan is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Finance, having authored 53 papers that have together received 7.0k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (9 papers), Statistical Methods and Inference (7 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (2.1k citations), Statistics and Probability (1.2k citations) and Finance (1.3k citations). J. D. Sargan has collaborated with scholars based in United Kingdom. Frequent co-authors include Arnold Zellner, Alok Bhargava, Kelvin Lancaster, Clive W. J. Granger, Michio Hatanaka, Phoebus J. Dhrymes, Stephen E. Fienberg, Gary Fromm, Lawrence R. Klein and Edwin Kuh. Their work appears in journals such as Econometrica, The Economic Journal and Journal of Econometrics.
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.