Dan Ehrlich
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
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- Mental Health Research Topics
- Multisensory perception and integration
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Papers in
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- Visual perception and processing mechanisms 3
- Spatial Neglect and Hemispheric Dysfunction 2
- Tactile and Sensory Interactions 1
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- Genomics and Phylogenetic Studies 1
- Fractal and DNA sequence analysis 1
- Co-authors
- J. Orbach (3 shared papers)Helen A. Heath (2 shared papers)Oscar Salas‐Solano (1 shared paper)Paul Matsudaira (1 shared paper)Dieter Schmalzing (1 shared paper)Aram Adourian (1 shared paper)Lance B. Koutny (1 shared paper)Petros T. Boufounos (1 shared paper)
- Journals
- Journal of the Franklin Institute (1 paper)Analytical Chemistry (1 paper)Perceptual and Motor Skills (3 papers)Archives of General Psychiatry (1 paper)
- Partner nations
- United States
In The Last Decade
Dan Ehrlich
6 papers receiving 686 citations
Dan Ehrlich's Hit Papers
Peers
Comparison fields: 5 of 118
- Cognitive Neuroscience 361
- Experimental and Cognitive Psychology 164
- General Psychology 14
- Social Psychology 183
- Applied Psychology 40
Countries citing papers authored by Dan Ehrlich
This map shows the geographic impact of Dan Ehrlich'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 Dan Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ehrlich more than expected).
Fields of papers citing papers by Dan Ehrlich
This network shows the impact of papers produced by Dan Ehrlich. 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 Dan Ehrlich. The network helps show where Dan Ehrlich may publish in the future.
Co-authors
The 8 scholars most cited alongside Dan Ehrlich, 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 | Activation and Behavior Hit paper breakdown → | 1963 | 467 |
| 2 | 1963 | 183 | |
| 3 | 2000 | 69 | |
| 4 | 1963 | 27 | |
| 5 | 1963 | 19 | |
| 6 | 2004 | 14 |
About Dan Ehrlich
Dan Ehrlich is a scholar working on Cognitive Neuroscience, Molecular Biology, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 6 papers that have together received 779 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (3 papers), Spatial Neglect and Hemispheric Dysfunction (2 papers), Genomics and Phylogenetic Studies (1 paper), Tactile and Sensory Interactions (1 paper), Electrowetting and Microfluidic Technologies (1 paper), Fractal and DNA sequence analysis (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Cognitive Neuroscience (361 citations), Experimental and Cognitive Psychology (164 citations), General Psychology (14 citations), Social Psychology (183 citations) and Applied Psychology (40 citations). Dan Ehrlich has collaborated with scholars based in United States. Frequent co-authors include J. Orbach, Helen A. Heath, Oscar Salas‐Solano, Paul Matsudaira, Dieter Schmalzing, Aram Adourian, Lance B. Koutny and Petros T. Boufounos. Their work appears in journals such as Journal of the Franklin Institute, Analytical Chemistry, Perceptual and Motor Skills and Archives of General Psychiatry.
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.