Mark Haselgrove

46 papers receiving 913 citations

Peers

Mark Haselgrove
Comparison fields: 5 of 99
  • Cognitive Neuroscience 559
  • Behavioral Neuroscience 81
  • Developmental and Educational Psychology 257
  • Sensory Systems 99
  • Human-Computer Interaction 64
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Sarah DuBrow United States
Avi Mendelsohn Israel
Tom Beesley United Kingdom
Catherine Thinus‐Blanc France
William S. Maki United States
David N. George United Kingdom
Sarah Weigelt Germany
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William S. Terry United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Haselgrove

Since Specialization
Citations

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

Fields of papers citing papers by Mark Haselgrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001139
2 2011133
3 200070
4 200467
5 200844
6 201042
7 200835
8 200727
9 200327
10 201025
11 201520
12 200920
13 200918
14 201117
15 201217
16 201517
17 201615
18 201315
19 200514
20 201214

About Mark Haselgrove

Mark Haselgrove is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Automotive Engineering and Social Psychology, having authored 50 papers that have together received 948 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (33 papers), Child and Animal Learning Development (15 papers), Olfactory and Sensory Function Studies (9 papers), Spatial Cognition and Navigation (9 papers), Neuroendocrine regulation and behavior (7 papers), Stress Responses and Cortisol (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Schizophrenia research and treatment (5 papers). The work is most often cited by research in Cognitive Neuroscience (559 citations), Behavioral Neuroscience (81 citations), Developmental and Educational Psychology (257 citations), Sensory Systems (99 citations) and Human-Computer Interaction (64 citations). Mark Haselgrove has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Mary C. Dyson, Guillem R. Esber, John M. Pearce, Peter M. Jones, Alastair D. Smith, Aydan Aydin, David N. George, Cecilia Heyes, Lisa H. Evans and John Pearce. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Journal of Experimental Psychology Animal Learning and Cognition, Learning & Behavior, Frontiers in Psychiatry and Proceedings of the Royal Society B Biological 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.

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