Howard G. Tucker
- Statistics and Probability top 2%
- Finance top 5%
- Mathematical Physics top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Co-authors
- Bernard HarrisMark FinkelsteinWilliam N. HudsonHoward W. AlexanderHerman RubinRobert CogburnMonte S. BuchsbaumLouis A. Gottschalk
- Topics
- Stochastic processes and financial applications (14 papers)Stochastic processes and statistical mechanics (14 papers)Probability and Risk Models (13 papers)
- Journals
- TechnometricsTransactions of the American Mathematical SocietyAmerican Mathematical Monthly
- Partner nations
- United StatesRussia
In The Last Decade
Howard G. Tucker
49 papers receiving 501 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 176
- Finance 168
- Mathematical Physics 151
- Management Science and Operations Research 140
- Artificial Intelligence 111
Countries citing papers authored by Howard G. Tucker
This map shows the geographic impact of Howard G. Tucker'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 Howard G. Tucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard G. Tucker more than expected).
Fields of papers citing papers by Howard G. Tucker
This network shows the impact of papers produced by Howard G. Tucker. 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 Howard G. Tucker. The network helps show where Howard G. Tucker may publish in the future.
Co-authorship network of co-authors of Howard G. Tucker
This figure shows the co-authorship network connecting the top 25 collaborators of Howard G. Tucker. A scholar is included among the top collaborators of Howard G. Tucker 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 Howard G. Tucker. Howard G. Tucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 38 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 118 | |
| 13 | 21 | |
| 14 | 20 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 5 | |
| 20 | 25 |
About Howard G. Tucker
Howard G. Tucker is a scholar working on Mathematical Physics, Finance and Statistics and Probability, having authored 51 papers that have together received 621 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (14 papers), Stochastic processes and statistical mechanics (14 papers) and Probability and Risk Models (13 papers). The work is most often cited by research in Statistics and Probability (176 citations), Mathematical Physics (151 citations) and Finance (168 citations). Howard G. Tucker has collaborated with scholars based in United States and Russia. Frequent co-authors include Bernard Harris, Mark Finkelstein, William N. Hudson, Howard W. Alexander, Herman Rubin, Robert Cogburn, Monte S. Buchsbaum, Louis A. Gottschalk, Tessio Rebello and Howard H. Stratton. Their work appears in journals such as Technometrics, Transactions of the American Mathematical Society and American Mathematical Monthly.
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.