Richard J. Smith
- Statistics and Probability top 0.5%
- General Economics, Econometrics and Finance top 1%
- Economics and Econometrics top 2%
- Finance top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- M. Hashem PesaranPatrik GuggenbergerJean‐Marc RobinAkio WakabayashiJoe DelaneyDebra FineSimon Baron‐CohenNigel Goldenfeld
- Topics
- Statistical Methods and Inference (19 papers)Monetary Policy and Economic Impact (17 papers)Advanced Statistical Methods and Models (12 papers)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Richard J. Smith
40 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 133
- Statistics and Probability 699
- General Economics, Econometrics and Finance 562
- Economics and Econometrics 550
- Finance 369
- Cognitive Neuroscience 256
Countries citing papers authored by Richard J. Smith
This map shows the geographic impact of Richard J. Smith'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 Richard J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Smith more than expected).
Fields of papers citing papers by Richard J. Smith
This network shows the impact of papers produced by Richard J. Smith. 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 Richard J. Smith. The network helps show where Richard J. Smith may publish in the future.
Co-authorship network of co-authors of Richard J. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Smith. A scholar is included among the top collaborators of Richard J. Smith 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 Richard J. Smith. Richard J. Smith 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 | 6 | |
| 3 | 2 | |
| 4 | 33 | |
| 5 | 3 | |
| 6 | 329 | |
| 7 | 18 | |
| 8 | 70 | |
| 9 | HIGHER ORDER PROPERTIES OF GMM AND GENERALIZED | 3 |
| 10 | 483 | |
| 11 | 20 | |
| 12 | 106 | |
| 13 | 317 | |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 61 | |
| 17 | 25 | |
| 18 | 9 | |
| 19 | 13 | |
| 20 | 48 |
About Richard J. Smith
Richard J. Smith is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Finance, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Monetary Policy and Economic Impact (17 papers) and Advanced Statistical Methods and Models (12 papers). The work is most often cited by research in Statistics and Probability (699 citations), General Economics, Econometrics and Finance (562 citations) and Finance (369 citations). Richard J. Smith has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include M. Hashem Pesaran, Patrik Guggenberger, Jean‐Marc Robin, Akio Wakabayashi, Joe Delaney, Debra Fine, Simon Baron‐Cohen, Nigel Goldenfeld, Sally Wheelwright and Leonora G Weil. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Brain Research.
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.