Ian M. Goodyer

5.1k citations
40 papers · 2.5k indexed · 1 hit paper · h-index 24

Ian M. Goodyer

40 papers receiving 2.5k citations

Hit Papers

Morphometric Similarity Networks Detect Microscale Cortic...284201720262020202350100150200250

Peers

Ian M. Goodyer
Comparison fields: 5 of 111
  • Behavioral Neuroscience 489
  • Biological Psychiatry 182
  • Cognitive Neuroscience 1.0k
  • Experimental and Cognitive Psychology 469
  • Clinical Psychology 582
Replace Georg S. Kranz with:
Georg S. Kranz Austria
Lara C. Foland‐Ross United States
Marisa M. Silveri United States
Elizabeth Prom‐Wormley United States
Sarah J. Ordaz United States
P. Cédric M. P. Koolschijn Netherlands
Kevin D. Tessner United States
Daniella J. Furman United States
Ray Norbury United Kingdom
Heather C. Abercrombie United States
Ian M. Goodyer relative to Georg S. Kranz Austria Georg S. Kranz's profile →
Citations per field
00.5×1.5×2.0×
Georg S. Kranz · 1×
Citations per year

Countries citing papers authored by Ian M. Goodyer

Since Specialization
Citations

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

Fields of papers citing papers by Ian M. Goodyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian M. Goodyer. 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 Ian M. Goodyer. The network helps show where Ian M. Goodyer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20239
3 202216
4 20229
5 202117
6 202013
7 201930
8 201969
9 201843
10 20187
11 201738
12 2017122
13 201638
14 2015121
15 201537
16 2014118
17 201336
18 201317
19 201188
20 19884

About Ian M. Goodyer

Ian M. Goodyer is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Cognitive Neuroscience, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Stress Responses and Cortisol (6 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers), Neural dynamics and brain function (5 papers), Mental Health Research Topics (5 papers), Tryptophan and brain disorders (4 papers) and Psychosomatic Disorders and Their Treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (489 citations), Biological Psychiatry (182 citations) and Cognitive Neuroscience (1.0k citations). Ian M. Goodyer has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter B. Jones, Edward T. Bullmore, Peter Fonagy, Raymond J. Dolan, H. M. Shiers, Joseph Herbert, Kirstie Whitaker, Konrad Wagstyl, J. Herbert and Petra E. Vértes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

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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