Todd Macuda

444 citations
24 papers · 306 indexed · h-index 7

Todd Macuda

23 papers receiving 280 citations

Peers

Todd Macuda
Comparison fields: 5 of 79
  • Equine 40
  • Cognitive Neuroscience 98
  • Statistics and Probability 36
  • Small Animals 32
  • Ecology, Evolution, Behavior and Systematics 71
Replace Evelyn B. Hanggi with:
Evelyn B. Hanggi United States
David R. Brodbeck Canada
John D. Gory United States
Julie J. Neiworth United States
Gionata Stancher Italy
Virginie Durier France
Rebecca Watson Netherlands
Tiago Monteiro United Kingdom
Catriona M. E. Ryan United Kingdom
Wendon W. Henton United States
Todd Macuda relative to Evelyn B. Hanggi United States Evelyn B. Hanggi's profile →
Citations per field
00.5×3.3×
Evelyn B. Hanggi · 1×
Citations per year

Countries citing papers authored by Todd Macuda

Since Specialization
Citations

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

Fields of papers citing papers by Todd Macuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Todd Macuda, 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 Todd Macuda Line = papers co-authored together Todd Macuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20133
2 20095
3 20072
4 20063
5 20064
6 20060
7 200526
8 20053
9 20056
10 20052
11 20042
12 20045
13 200139
14 200118
15 200150
16 199936
17 19965
18 19965
19 199536
20 199542

About Todd Macuda

Todd Macuda is a scholar working on Cognitive Neuroscience, Equine, Instrumentation, Aerospace Engineering and Global and Planetary Change, having authored 24 papers that have together received 306 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (9 papers), Visual perception and processing mechanisms (8 papers), Impact of Light on Environment and Health (7 papers), Human-Automation Interaction and Safety (3 papers), Neurobiology and Insect Physiology Research (2 papers), Spatial Cognition and Navigation (2 papers), Animal and Plant Science Education (2 papers) and Memory and Neural Mechanisms (2 papers). The work is most often cited by research in Equine (40 citations), Cognitive Neuroscience (98 citations), Statistics and Probability (36 citations), Small Animals (32 citations) and Ecology, Evolution, Behavior and Systematics (71 citations). Todd Macuda has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Brian Timney, William A. Roberts, David R. Brodbeck, Robert J. Gegear, Terence M. Laverty, R. von der Heydt, Sion Jennings, Robert S. Allison, Paul Thomas and Alison M. Harman. Their work appears in journals such as Behavioral Neuroscience, Behavioural Processes, Journal of the American Veterinary Medical Association, Journal of the Optical Society of America A and Journal of Experimental Biology.

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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