David M. Mason
- Finance top 1%
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Mathematical Physics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Erich HaeuslerSándor CsörgőEvarist GinéFriedrich GötzeJohn H. SchuenemeyerPaul DeheuvelsLajos HorváthPhilip S. Griffin
- Topics
- Probability and Risk Models (19 papers)Financial Risk and Volatility Modeling (15 papers)Stochastic processes and statistical mechanics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Annals of StatisticsFuel Processing Technology
- Partner nations
- United StatesGermanyHungary
In The Last Decade
David M. Mason
28 papers receiving 847 citations
Peers
Comparison fields: 5 of 86
- Finance 555
- Statistics and Probability 420
- Management Science and Operations Research 351
- Mathematical Physics 200
- Artificial Intelligence 142
Countries citing papers authored by David M. Mason
This map shows the geographic impact of David M. Mason'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 David M. Mason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Mason more than expected).
Fields of papers citing papers by David M. Mason
This network shows the impact of papers produced by David M. Mason. 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 David M. Mason. The network helps show where David M. Mason may publish in the future.
Co-authorship network of co-authors of David M. Mason
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Mason. A scholar is included among the top collaborators of David M. Mason 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 David M. Mason. David M. Mason is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A Strong Representation for Linear Combinations of Order Statistics with Application to Fixed-width Confidence Intervals for Location and Scale Parameters | 0 |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 140 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 33 | |
| 8 | 36 | |
| 9 | 4 | |
| 10 | 49 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 58 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 17 | |
| 17 | 74 | |
| 18 | 18 | |
| 19 | 6 | |
| 20 | 1 |
About David M. Mason
David M. Mason is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 30 papers that have together received 983 indexed citations. Recurring topics across this work include Probability and Risk Models (19 papers), Financial Risk and Volatility Modeling (15 papers) and Stochastic processes and statistical mechanics (10 papers). The work is most often cited by research in Finance (555 citations), Statistics and Probability (420 citations) and Management Science and Operations Research (351 citations). David M. Mason has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Erich Haeusler, Sándor Csörgő, Evarist Giné, Friedrich Götze, John H. Schuenemeyer, Paul Deheuvels, Lajos Horváth, Philip S. Griffin, Marjorie G. Hahn and Uwe Einmahl. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and Fuel Processing Technology.
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.