Ian M. Goodyer

5.1k total citations · 1 hit paper
40 papers, 2.5k citations indexed

About

Ian M. Goodyer is a scholar working on Cognitive Neuroscience, Clinical Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ian M. Goodyer has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 12 papers in Clinical Psychology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ian M. Goodyer's work include Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Stress Responses and Cortisol (6 papers). Ian M. Goodyer is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Stress Responses and Cortisol (6 papers). Ian M. Goodyer collaborates with scholars based in United Kingdom, United States and Germany. Ian M. Goodyer's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Ian M. Goodyer

40 papers receiving 2.5k citations

Hit Papers

Morphometric Similarity Networks Detect Microscale Cortic... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Ian M. Goodyer
Comparison fields: 5 of 111
  • Cognitive Neuroscience 1.0k
  • Clinical Psychology 582
  • Behavioral Neuroscience 489
  • Radiology, Nuclear Medicine and Imaging 473
  • Experimental and Cognitive Psychology 469
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Citations per field, relative to Ian M. Goodyer
Ian M. Goodyer · 1×
Citations per year, relative to Ian M. Goodyer
Ian M. Goodyer · 1×

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 of co-authors of Ian M. Goodyer

This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Goodyer. A scholar is included among the top collaborators of Ian M. Goodyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian M. Goodyer. Ian M. Goodyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 9
3 16
4 9
5 17
6 13
7 30
8 69
9 43
10 7
11 38
12 122
13 38
14 121
15 37
16 118
17 36
18 17
19 88
20 4

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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