Martin I. Hofmann

594 citations
14 papers · 455 indexed · h-index 8

Martin I. Hofmann

14 papers receiving 447 citations

Peers

Martin I. Hofmann
Comparison fields: 5 of 77
  • Ecology, Evolution, Behavior and Systematics 151
  • Cellular and Molecular Neuroscience 136
  • Computer Vision and Pattern Recognition 79
  • Genetics 102
  • Cognitive Neuroscience 68
Replace A. J. Shohet with:
A. J. Shohet United Kingdom
Jérôme Baron Brazil
Barbara Michel Switzerland
Ruth M. Fischer Austria
John R. Stowers New Zealand
Jacob M. Graving Germany
James J. Foster Sweden
Hidetoshi Ikeno Japan
Jerome Wodinsky United States
R. M. Olberg United States
Martin I. Hofmann relative to A. J. Shohet United Kingdom A. J. Shohet's profile →
Citations per field
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A. J. Shohet · 1×
Citations per year

Countries citing papers authored by Martin I. Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin I. Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin I. Hofmann. 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 Martin I. Hofmann. The network helps show where Martin I. Hofmann may publish in the future.

Co-authorship network

The 14 scholars most cited alongside Martin I. Hofmann, 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 Martin I. Hofmann Line = papers co-authored together Martin I. Hofmann links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201410
2 2003227
3 200336
4 200273
5 200150
6 199913
7
Theronts of Ichthyophthirius multifiliis find their fish hosts with complex behavior patterns and in response to different chemical signals.
19986
8 199310
9 19935
10 19918
11 19906
12 19902
13
A Cellular Automaton Model Based on Cortical Physiology.
19877
14 19872

About Martin I. Hofmann

Martin I. Hofmann is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Media Technology, having authored 14 papers that have together received 455 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Color Science and Applications (4 papers), Neural dynamics and brain function (3 papers), Plant Water Relations and Carbon Dynamics (3 papers), Plant and animal studies (2 papers), Parasite Biology and Host Interactions (2 papers), Cephalopods and Marine Biology (2 papers) and Primate Behavior and Ecology (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (151 citations), Cellular and Molecular Neuroscience (136 citations) and Computer Vision and Pattern Recognition (79 citations). Martin I. Hofmann has collaborated with scholars based in Canada, Australia and Germany. Frequent co-authors include Jochen Zeil, Javaan Chahl, Marilyn C. Ball, Adrienne B. Nicotra, Peter Hallett, Dale Hughes, Martin J. Canny, Joe Wolfe, Katharina Siebke and Wilfried Haas. Their work appears in journals such as FEBS Letters, Plant Cell & Environment and Vision Research.

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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