M. D. Taylor
Impact in
- Finance top 5%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
Papers in
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- Receptor Mechanisms and Signaling 4
-
- Neuropeptides and Animal Physiology 3
- Co-authors
- A. T. Andrews (1 shared paper)Albert J. Owen (1 shared paper)Piotr Mikusiński (5 shared papers)Ludger Rüschendorf (1 shared paper)B. Schweizer (1 shared paper)H. Sherwood (4 shared papers)Marı́a L. de Ceballos (2 shared papers)Alfred Callahan (2 shared papers)
- Journals
- Journal of Mathematical Analysis and Applications (3 papers)Neuropharmacology (1 paper)Journal of Medicinal Chemistry (1 paper)Neuropeptides (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
M. D. Taylor
18 papers receiving 426 citations
Peers
Comparison fields: 5 of 101
- Finance 162
- Statistics and Probability 94
- Food Science 85
- Management Science and Operations Research 52
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by M. D. Taylor
This map shows the geographic impact of M. D. Taylor'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 M. D. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. D. Taylor more than expected).
Fields of papers citing papers by M. D. Taylor
This network shows the impact of papers produced by M. D. Taylor. 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 M. D. Taylor. The network helps show where M. D. Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside M. D. Taylor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 126 | |
| 2 | 2006 | 63 | |
| 3 | 1999 | 63 | |
| 4 | 1998 | 43 | |
| 5 | 1985 | 30 | |
| 6 | 1991 | 21 | |
| 7 | 2009 | 17 | |
| 8 | 2002 | 17 | |
| 9 | 2009 | 13 | |
| 10 | 1991 | 11 | |
| 11 | 1988 | 10 | |
| 12 | 1991 | 10 | |
| 13 | 1990 | 8 | |
| 14 | 1984 | 7 | |
| 15 | 1988 | 6 | |
| 16 | 1989 | 5 | |
| 17 | 1999 | 2 | |
| 18 | 1990 | 1 | |
| 19 | Taming the PROC TRANSPOSE | 2007 | 0 |
About M. D. Taylor
M. D. Taylor is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Finance, Statistics and Probability and Mathematical Physics, having authored 19 papers that have together received 453 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Stochastic processes and financial applications (3 papers), Mathematical Dynamics and Fractals (3 papers), Neuropeptides and Animal Physiology (3 papers), Statistical Distribution Estimation and Applications (2 papers), Adenosine and Purinergic Signaling (2 papers), Economic theories and models (2 papers) and Risk and Portfolio Optimization (2 papers). The work is most often cited by research in Finance (162 citations), Statistics and Probability (94 citations), Food Science (85 citations), Management Science and Operations Research (52 citations) and Cellular and Molecular Neuroscience (50 citations). M. D. Taylor has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include A. T. Andrews, Albert J. Owen, Piotr Mikusiński, Ludger Rüschendorf, B. Schweizer, H. Sherwood, Marı́a L. de Ceballos, Alfred Callahan, Gene C. Palmer and Lynne J. Eddy. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Neuropharmacology, Journal of Medicinal Chemistry, Neuropeptides and Journal of the American Statistical Association.
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.