Robert R. Trippi
- Finance top 2%
- Management Science and Operations Research top 2%
- Economics and Econometrics top 5%
- Artificial Intelligence top 5%
- Accounting top 5%
- Co-authors
- Efraim TurbanRichard SchmalenseeDimitris N. ChorafasLarry MedskerDonald ErlenkotterAlex KaneDon M. ChanceBasheer M. Khumawala
- Topics
- Capital Investment and Risk Analysis (8 papers)Financial Markets and Investment Strategies (6 papers)Stochastic processes and financial applications (5 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Robert R. Trippi
41 papers receiving 866 citations
Peers
Comparison fields: 5 of 86
- Finance 346
- Management Science and Operations Research 346
- Economics and Econometrics 310
- Artificial Intelligence 250
- Accounting 122
Countries citing papers authored by Robert R. Trippi
This map shows the geographic impact of Robert R. Trippi'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 Robert R. Trippi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert R. Trippi more than expected).
Fields of papers citing papers by Robert R. Trippi
This network shows the impact of papers produced by Robert R. Trippi. 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 Robert R. Trippi. The network helps show where Robert R. Trippi may publish in the future.
Co-authorship network of co-authors of Robert R. Trippi
This figure shows the co-authorship network connecting the top 25 collaborators of Robert R. Trippi. A scholar is included among the top collaborators of Robert R. Trippi 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 Robert R. Trippi. Robert R. Trippi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neural Networks Finance and Investment: Using Artificial Intelligence to Improve Real-World Performance | 12 |
| 2 | Chaos & nonlinear dynamics in the financial markets : theory, evidence and applications | 19 |
| 3 | 64 | |
| 4 | Chaos theory in the financial markets | 30 |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | Advances in futures and options research : a research annual | 3 |
| 14 | 57 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 16 |
About Robert R. Trippi
Robert R. Trippi is a scholar working on Finance, Management Science and Operations Research and Software, having authored 43 papers that have together received 983 indexed citations. Recurring topics across this work include Capital Investment and Risk Analysis (8 papers), Financial Markets and Investment Strategies (6 papers) and Stochastic processes and financial applications (5 papers). The work is most often cited by research in Finance (346 citations), Management Science and Operations Research (346 citations) and Management Information Systems (105 citations). Robert R. Trippi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Efraim Turban, Richard Schmalensee, Dimitris N. Chorafas, Larry Medsker, Donald Erlenkotter, Alex Kane, Don M. Chance, Basheer M. Khumawala, Bruce N. Lehmann and Robert B. Settle. Their work appears in journals such as The Journal of Finance, Management Science and Expert Systems with Applications.
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.