Daniel Millman
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Neuroscience and Neuropharmacology Research 2
- Neuroscience and Neural Engineering 1
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- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 1
- EEG and Brain-Computer Interfaces 1
- Co-authors
- Alfredo Kirkwood (2 shared papers)Ernst Niebur (1 shared paper)Ştefan Mihalaş (1 shared paper)Venkatesh N. Murthy (1 shared paper)Bin Jiang (1 shared paper)Roberto De Pasquale (1 shared paper)Shiyong Huang (1 shared paper)Hey‐Kyoung Lee (1 shared paper)
- Journals
- Journal of Neuroscience (1 paper)Journal of Vision (1 paper)Biomedical Optics Express (1 paper)eLife (1 paper)Neuron (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daniel Millman
8 papers receiving 321 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 231
- Cellular and Molecular Neuroscience 181
- Sensory Systems 48
- Statistical and Nonlinear Physics 60
- Biophysics 12
Countries citing papers authored by Daniel Millman
This map shows the geographic impact of Daniel Millman'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 Daniel Millman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Millman more than expected).
Fields of papers citing papers by Daniel Millman
This network shows the impact of papers produced by Daniel Millman. 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 Daniel Millman. The network helps show where Daniel Millman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Millman, 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 | 2010 | 118 | |
| 2 | 2010 | 92 | |
| 3 | 2020 | 42 | |
| 4 | 2020 | 39 | |
| 5 | 2019 | 13 | |
| 6 | 2015 | 11 | |
| 7 | 2019 | 8 | |
| 8 | 2021 | 1 |
About Daniel Millman
Daniel Millman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Molecular Biology and Pharmacology, having authored 8 papers that have together received 324 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Olfactory and Sensory Function Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Visual perception and processing mechanisms (1 paper), Machine Learning in Bioinformatics (1 paper), Neuroscience and Neural Engineering (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (231 citations), Cellular and Molecular Neuroscience (181 citations), Sensory Systems (48 citations), Statistical and Nonlinear Physics (60 citations) and Biophysics (12 citations). Daniel Millman has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Alfredo Kirkwood, Ernst Niebur, Ştefan Mihalaş, Venkatesh N. Murthy, Bin Jiang, Roberto De Pasquale, Shiyong Huang, Hey‐Kyoung Lee, Tadaharu Tsumoto and Lihua Song. Their work appears in journals such as Journal of Neuroscience, Journal of Vision, Biomedical Optics Express, eLife 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.