Loren D. Pitt
- Mathematical Physics top 5%
- Finance top 5%
- Applied Mathematics top 5%
- Statistics and Probability top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Ira HerbstMichael D. PerlmanKumar Joag‐DevJ. M. AndersonLanh Tat TranClyde D. HardinJ. Hoffmann-JørgensenAbram Kagan
- Topics
- Stochastic processes and financial applications (8 papers)advanced mathematical theories (6 papers)Spectral Theory in Mathematical Physics (5 papers)
- Journals
- Archive for Rational Mechanics and AnalysisAdvances in MathematicsPacific Journal of Mathematics
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Loren D. Pitt
33 papers receiving 426 citations
Peers
Comparison fields: 5 of 58
- Mathematical Physics 234
- Finance 202
- Applied Mathematics 124
- Statistics and Probability 120
- Management Science and Operations Research 93
Countries citing papers authored by Loren D. Pitt
This map shows the geographic impact of Loren D. Pitt'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 Loren D. Pitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loren D. Pitt more than expected).
Fields of papers citing papers by Loren D. Pitt
This network shows the impact of papers produced by Loren D. Pitt. 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 Loren D. Pitt. The network helps show where Loren D. Pitt may publish in the future.
Co-authorship network of co-authors of Loren D. Pitt
This figure shows the co-authorship network connecting the top 25 collaborators of Loren D. Pitt. A scholar is included among the top collaborators of Loren D. Pitt 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 Loren D. Pitt. Loren D. Pitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 36 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 33 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 64 | |
| 20 | 2 |
About Loren D. Pitt
Loren D. Pitt is a scholar working on Mathematical Physics, Applied Mathematics and Finance, having authored 35 papers that have together received 483 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), advanced mathematical theories (6 papers) and Spectral Theory in Mathematical Physics (5 papers). The work is most often cited by research in Mathematical Physics (234 citations), Finance (202 citations) and Statistics and Probability (120 citations). Loren D. Pitt has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Ira Herbst, Michael D. Perlman, Kumar Joag‐Dev, J. M. Anderson, Lanh Tat Tran, Clyde D. Hardin, J. Hoffmann-Jørgensen, Abram Kagan, Lawrence A. Shepp and Elizabeth A. Housworth. Their work appears in journals such as Archive for Rational Mechanics and Analysis, Advances in Mathematics and Pacific Journal of Mathematics.
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.