Neal Madras
- Condensed Matter Physics top 2%
- Mathematical Physics top 1%
- Materials Chemistry top 10%
- Statistics and Probability top 1%
- Molecular Biology
- Co-authors
- Alan D. SokalAlbert GreenbergBin LiRichard M. KarpMichael LubyS G WhittingtonE J Janse van RensburgBoris L. Granovsky
- Topics
- Stochastic processes and statistical mechanics (30 papers)Theoretical and Computational Physics (22 papers)Markov Chains and Monte Carlo Methods (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of EpidemiologyPhysical Chemistry Chemical Physics
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Neal Madras
60 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Condensed Matter Physics 855
- Mathematical Physics 702
- Materials Chemistry 485
- Statistics and Probability 465
- Molecular Biology 358
Countries citing papers authored by Neal Madras
This map shows the geographic impact of Neal Madras'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 Neal Madras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neal Madras more than expected).
Fields of papers citing papers by Neal Madras
This network shows the impact of papers produced by Neal Madras. 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 Neal Madras. The network helps show where Neal Madras may publish in the future.
Co-authorship network of co-authors of Neal Madras
This figure shows the co-authorship network connecting the top 25 collaborators of Neal Madras. A scholar is included among the top collaborators of Neal Madras 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 Neal Madras. Neal Madras 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 | 9 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 4 | |
| 6 | Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks | 2 |
| 7 | 125 | |
| 8 | 37 | |
| 9 | 88 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 336 | |
| 13 | 78 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 35 | |
| 17 | 8 | |
| 18 | Comparison of a Fair Queueing Discipline to Processor Sharing | 8 |
| 19 | 194 | |
| 20 | 17 |
About Neal Madras
Neal Madras is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 62 papers that have together received 2.7k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (30 papers), Theoretical and Computational Physics (22 papers) and Markov Chains and Monte Carlo Methods (22 papers). The work is most often cited by research in Mathematical Physics (702 citations), Condensed Matter Physics (855 citations) and Statistics and Probability (465 citations). Neal Madras has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Alan D. Sokal, Albert Greenberg, Bin Li, Richard M. Karp, Michael Luby, S G Whittington, E J Janse van Rensburg, Boris L. Granovsky, Peter March and Jonathan Goodman. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Physical Chemistry Chemical Physics.
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.