Michael R. DeWeese
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Statistical and Nonlinear Physics top 0.5%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Anthony M. ZadorTomáš HromádkaPatrick R. ZulkowskiMichael WehrJoel ZylberbergThomas D. AlbrightGiedrius T. BuračasMarkus Meister
- Topics
- Neural dynamics and brain function (31 papers)Advanced Thermodynamics and Statistical Mechanics (14 papers)stochastic dynamics and bifurcation (11 papers)
- Journals
- NaturePhysical Review LettersNeuron
- Partner nations
- United StatesItalySpain
In The Last Decade
Michael R. DeWeese
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 916
- Statistical and Nonlinear Physics 820
- Electrical and Electronic Engineering 372
- Artificial Intelligence 324
Countries citing papers authored by Michael R. DeWeese
This map shows the geographic impact of Michael R. DeWeese'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 Michael R. DeWeese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. DeWeese more than expected).
Fields of papers citing papers by Michael R. DeWeese
This network shows the impact of papers produced by Michael R. DeWeese. 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 Michael R. DeWeese. The network helps show where Michael R. DeWeese may publish in the future.
Co-authorship network of co-authors of Michael R. DeWeese
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. DeWeese. A scholar is included among the top collaborators of Michael R. DeWeese 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 Michael R. DeWeese. Michael R. DeWeese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 111 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 39 | |
| 9 | 80 | |
| 10 | Geometry of thermodynamic control | 1 |
| 11 | 92 | |
| 12 | Minimum Probability Flow Learning | 15 |
| 13 | 118 | |
| 14 | 394 | |
| 15 | 125 | |
| 16 | 24 | |
| 17 | 54 | |
| 18 | Binary Coding in Auditory Cortex | 16 |
| 19 | 309 | |
| 20 | 34 |
About Michael R. DeWeese
Michael R. DeWeese is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (31 papers), Advanced Thermodynamics and Statistical Mechanics (14 papers) and stochastic dynamics and bifurcation (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Statistical and Nonlinear Physics (820 citations) and Cellular and Molecular Neuroscience (916 citations). Michael R. DeWeese has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Anthony M. Zador, Tomáš Hromádka, Patrick R. Zulkowski, Michael Wehr, Joel Zylberberg, Thomas D. Albright, Giedrius T. Buračas, Markus Meister, William Bialek and Dibyendu Mandal. Their work appears in journals such as Nature, Physical Review Letters and Neuron.
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.