Collins Assisi
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in
-
- Neurobiology and Insect Physiology Research 7
- Photoreceptor and optogenetics research 2
- Neuroscience and Neural Engineering 1
-
- Neural dynamics and brain function 5
- Co-authors
- Maxim Bazhenov (6 shared papers)J. A. Scott Kelso (4 shared papers)Viktor Jirsa (4 shared papers)Mark Stopfer (4 shared papers)Gilles Laurent (1 shared paper)Mukeshwar Dhamala (1 shared paper)Fred Steinberg (1 shared paper)Brian H. Smith (1 shared paper)
- Journals
- eNeuro (2 papers)PLoS Computational Biology (2 papers)NeuroImage (2 papers)Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Collins Assisi
13 papers receiving 325 citations
Peers
Comparison fields: 5 of 50
- Sensory Systems 84
- Cognitive Neuroscience 191
- Cellular and Molecular Neuroscience 156
- Experimental and Cognitive Psychology 52
- Statistical and Nonlinear Physics 39
Countries citing papers authored by Collins Assisi
This map shows the geographic impact of Collins Assisi'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 Collins Assisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Collins Assisi more than expected).
Fields of papers citing papers by Collins Assisi
This network shows the impact of papers produced by Collins Assisi. 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 Collins Assisi. The network helps show where Collins Assisi may publish in the future.
Co-authors
The 13 scholars most cited alongside Collins Assisi, 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 | 2007 | 79 | |
| 2 | 2006 | 62 | |
| 3 | 2005 | 54 | |
| 4 | 2015 | 30 | |
| 5 | 2011 | 30 | |
| 6 | 2005 | 25 | |
| 7 | 2008 | 14 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2013 | 1 |
About Collins Assisi
Collins Assisi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 13 papers that have together received 332 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Neural dynamics and brain function (5 papers), Olfactory and Sensory Function Studies (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Plant and animal studies (2 papers), Photoreceptor and optogenetics research (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Sensory Systems (84 citations), Cognitive Neuroscience (191 citations), Cellular and Molecular Neuroscience (156 citations), Experimental and Cognitive Psychology (52 citations) and Statistical and Nonlinear Physics (39 citations). Collins Assisi has collaborated with scholars based in United States, India and France. Frequent co-authors include Maxim Bazhenov, J. A. Scott Kelso, Viktor Jirsa, Mark Stopfer, Gilles Laurent, Mukeshwar Dhamala, Fred Steinberg, Brian H. Smith, Jen‐Yung Chen and Fernando Locatelli. Their work appears in journals such as eNeuro, PLoS Computational Biology, NeuroImage, Nature Neuroscience and Journal of Neuroscience.
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.