Tamar Gutnick
- Ecology, Evolution, Behavior and Systematics top 5%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Social Psychology
- Organic Chemistry
- Co-authors
- Michael J. KubaBinyamin HochnerRuth A. ByrneLetizia ZulloGilles LaurentAnton WeissenbacherKarl KralKerstin E. Thonhauser
- Topics
- Cephalopods and Marine Biology (10 papers)Chemical synthesis and alkaloids (5 papers)Neurobiology and Insect Physiology Research (5 papers)
- Cited by
- Ecology, Evolution, Behavior and SystematicsCellular and Molecular NeuroscienceSmall Animals
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Tamar Gutnick
11 papers receiving 209 citations
Peers
Comparison fields: 5 of 47
- Ecology, Evolution, Behavior and Systematics 158
- Cellular and Molecular Neuroscience 67
- Cognitive Neuroscience 53
- Social Psychology 47
- Organic Chemistry 37
Countries citing papers authored by Tamar Gutnick
This map shows the geographic impact of Tamar Gutnick'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 Tamar Gutnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Gutnick more than expected).
Fields of papers citing papers by Tamar Gutnick
This network shows the impact of papers produced by Tamar Gutnick. 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 Tamar Gutnick. The network helps show where Tamar Gutnick may publish in the future.
Co-authorship network of co-authors of Tamar Gutnick
This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Gutnick. A scholar is included among the top collaborators of Tamar Gutnick 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 Tamar Gutnick. Tamar Gutnick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 39 | |
| 7 | 15 | |
| 8 | 23 | |
| 9 | 22 | |
| 10 | FROM THE OCTOPUS TO SOFT ROBOTS CONTROL: AN OCTOPUS INSPIRED BEHAVIOR CONTROL ARCHITECTURE FOR SOFT ROBOTS | 14 |
| 11 | 69 |
About Tamar Gutnick
Tamar Gutnick is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Small Animals, having authored 11 papers that have together received 215 indexed citations. Recurring topics across this work include Cephalopods and Marine Biology (10 papers), Chemical synthesis and alkaloids (5 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (158 citations), Cellular and Molecular Neuroscience (67 citations) and Small Animals (26 citations). Tamar Gutnick has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Michael J. Kuba, Binyamin Hochner, Ruth A. Byrne, Letizia Zullo, Gilles Laurent, Anton Weissenbacher, Karl Kral, Kerstin E. Thonhauser, Gordon M. Burghardt and Zdeněk Lajbner. Their work appears in journals such as Current Biology, Scientific Reports and Applied Sciences.
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.