Rita Guttman

831 citations
20 papers · 519 · h-index 12

Impact in

Papers in

Rita Guttman

20 papers receiving 465 citations

Peers

Rita Guttman
Comparison fields: 5 of 64
  • Statistical and Nonlinear Physics 197
  • Cognitive Neuroscience 283
  • Cellular and Molecular Neuroscience 271
  • Computer Networks and Communications 131
  • Sensory Systems 20
Replace R. M. Miura with:
R. M. Miura Canada
Fernán Jaramillo United States
Douglas Junge United States
Ricardo Oliva United States
Santi Chillemi Spain
Idan Segev Israel
Maksim Bazhenov United States
Lyle J. Graham France
V. I. Makarenko United States
F. Buchholtz Germany
Rita Guttman relative to R. M. Miura Canada R. M. Miura's profile →
Citations per field
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R. M. Miura · 1×
Citations per year

Countries citing papers authored by Rita Guttman

Since Specialization
Citations

This map shows the geographic impact of Rita Guttman'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 Rita Guttman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Guttman more than expected).

Fields of papers citing papers by Rita Guttman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Guttman. 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 Rita Guttman. The network helps show where Rita Guttman may publish in the future.

Co-authors

The 11 scholars most cited alongside Rita Guttman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rita Guttman Line = papers co-authored together Rita Guttman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1980145
2 197056
3 198055
4 197048
5 196639
6 197435
7 197126
8 196917
9 196215
10 197215
11 198014
12 196811
13 19689
14 19759
15 19587
16 19576
17 19565
18 19775
19 19591
20 19521

About Rita Guttman

Rita Guttman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 519 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), Photoreceptor and optogenetics research (11 papers), Neural dynamics and brain function (9 papers), Lipid Membrane Structure and Behavior (3 papers), Neurobiology and Insect Physiology Research (2 papers), Cephalopods and Marine Biology (2 papers), Mechanical and Optical Resonators (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (197 citations), Cognitive Neuroscience (283 citations), Cellular and Molecular Neuroscience (271 citations), Computer Networks and Communications (131 citations) and Sensory Systems (20 citations). Rita Guttman has collaborated with scholars based in United States. Frequent co-authors include John Rinzel, Kenneth S. Cole, Francisco Bezanilla, Harold Lecar, Eric Jakobsson, Samuel M. Ross, Milton M. Gross, JOHN A. DOWLING, Irwin B. Wilson and Harry Grundfest. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, Science, Biochemical and Biophysical Research Communications and Mathematical Biosciences.

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.

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