Leonard J. Tashman
- Management Science and Operations Research top 2%
- Economics and Econometrics top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- General Economics, Econometrics and Finance top 10%
- Topics
- Forecasting Techniques and Applications (4 papers)Stock Market Forecasting Methods (3 papers)Monetary Policy and Economic Impact (2 papers)
- Cited by
- Management Science and Operations ResearchGeneral Economics, Econometrics and FinanceEconomics and Econometrics
- Journals
- Journal of the American Statistical AssociationInternational Journal of ForecastingJournal of Forecasting
- Partner nations
- United States
In The Last Decade
Leonard J. Tashman
7 papers receiving 547 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Management Science and Operations Research 304
- Economics and Econometrics 140
- Artificial Intelligence 109
- Electrical and Electronic Engineering 104
- General Economics, Econometrics and Finance 62
Countries citing papers authored by Leonard J. Tashman
This map shows the geographic impact of Leonard J. Tashman'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 Leonard J. Tashman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard J. Tashman more than expected).
Fields of papers citing papers by Leonard J. Tashman
This network shows the impact of papers produced by Leonard J. Tashman. 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 Leonard J. Tashman. The network helps show where Leonard J. Tashman may publish in the future.
Co-authorship network of co-authors of Leonard J. Tashman
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Tashman. A scholar is included among the top collaborators of Leonard J. Tashman 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 Leonard J. Tashman. Leonard J. Tashman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Out-of-sample tests of forecasting accuracy: an analysis and reviewbreakdown → | 529 |
| 3 | 25 | |
| 4 | 1 | |
| 5 | 25 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 6 |
About Leonard J. Tashman
Leonard J. Tashman is a scholar working on Management Science and Operations Research, General Economics, Econometrics and Finance and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 598 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (4 papers), Stock Market Forecasting Methods (3 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Management Science and Operations Research (304 citations), General Economics, Econometrics and Finance (62 citations) and Economics and Econometrics (140 citations). Leonard J. Tashman has collaborated with scholars based in United States. Frequent co-authors include Jeffrey S. Buzas, Stephen A. Book, Kathleen R. Lamborn, Peter Tashman and Derek Bissell. Their work appears in journals such as Journal of the American Statistical Association, International Journal of Forecasting and Journal of Forecasting.
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.