Michael D’Zmura
- Cognitive Neuroscience top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Social Psychology top 2%
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Mark DennisonGeoffrey IversonRamesh SrinivasanCort HortonBenjamin H. SingerKenneth KnoblauchPhilippe ColantoniBernard Laget
- Topics
- Visual perception and processing mechanisms (23 papers)Color Science and Applications (21 papers)Color perception and design (10 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Michael D’Zmura
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 1.3k
- Atomic and Molecular Physics, and Optics 608
- Social Psychology 548
- Human-Computer Interaction 321
- Computer Vision and Pattern Recognition 319
Countries citing papers authored by Michael D’Zmura
This map shows the geographic impact of Michael D’Zmura'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 D’Zmura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D’Zmura more than expected).
Fields of papers citing papers by Michael D’Zmura
This network shows the impact of papers produced by Michael D’Zmura. 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 D’Zmura. The network helps show where Michael D’Zmura may publish in the future.
Co-authorship network of co-authors of Michael D’Zmura
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D’Zmura. A scholar is included among the top collaborators of Michael D’Zmura 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 D’Zmura. Michael D’Zmura 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 | 2 | |
| 3 | 33 | |
| 4 | 72 | |
| 5 | 11 | |
| 6 | 221 | |
| 7 | 58 | |
| 8 | Cortical Signatures of Heard and Imagined Speech Envelopes | 3 |
| 9 | 10 | |
| 10 | 22 | |
| 11 | 82 | |
| 12 | 12 | |
| 13 | 54 | |
| 14 | 13 | |
| 15 | 66 | |
| 16 | 15 | |
| 17 | 31 | |
| 18 | 71 | |
| 19 | 9 | |
| 20 | 300 |
About Michael D’Zmura
Michael D’Zmura is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Atomic and Molecular Physics, and Optics, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (23 papers), Color Science and Applications (21 papers) and Color perception and design (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Human-Computer Interaction (321 citations) and Social Psychology (548 citations). Michael D’Zmura has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Mark Dennison, Geoffrey Iverson, Ramesh Srinivasan, Cort Horton, Benjamin H. Singer, Kenneth Knoblauch, Philippe Colantoni, Bernard Laget, John G. Hagedorn and Karl R. Gegenfurtner. Their work appears in journals such as Journal of Neurophysiology, Brain Research and Experimental Brain Research.
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.