David O’Connor

3.0k citations
48 papers · 928 · h-index 16

Impact in

Papers in

David O’Connor

44 papers receiving 914 citations

Peers

David O’Connor
Comparison fields: 5 of 117
  • Cognitive Neuroscience 532
  • Experimental and Cognitive Psychology 161
  • Biological Psychiatry 25
  • Cellular and Molecular Neuroscience 142
  • Psychiatry and Mental health 91
Replace Michihiko Koeda with:
Michihiko Koeda Japan
Camilla L. Nord United Kingdom
Maureen McHugo United States
Francesco Musso Germany
Mareike Clos Germany
Motoaki Nakamura Japan
Monte S. Buchsbaum United States
Kara A. Dyckman United States
Maia S. Pujara United States
Linh C. Dang United States
David O’Connor relative to Michihiko Koeda Japan Michihiko Koeda's profile →
Citations per field
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Michihiko Koeda · 1×
Citations per year

Countries citing papers authored by David O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by David O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David O’Connor. 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 David O’Connor. The network helps show where David O’Connor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019259
2 201770
3 201768
4 199162
5 201659
6 201742
7 202041
8 201330
9 202223
10 202222
11 201219
12 202418
13 199217
14 201316
15 202115
16 199315
17 199415
18 202414
19 201814
20 201412

About David O’Connor

David O’Connor is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Transportation, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 48 papers that have together received 928 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Neuroscience and Neuropharmacology Research (7 papers), Neural and Behavioral Psychology Studies (7 papers), Urban Transport and Accessibility (6 papers), Neural dynamics and brain function (5 papers), Behavioral Health and Interventions (3 papers), Transportation Planning and Optimization (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (532 citations), Experimental and Cognitive Psychology (161 citations), Biological Psychiatry (25 citations), Cellular and Molecular Neuroscience (142 citations) and Psychiatry and Mental health (91 citations). David O’Connor has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include Evelyn Lake, R. Todd Constable, Dustin Scheinost, Corey Horien, Michael P. Milham, Xilin Shen, Abigail S. Greene, Stephanie Noble, Mehraveh Salehi and Daniel S. Barron. Their work appears in journals such as NeuroImage, Pharmacology Biochemistry and Behavior, GigaScience, European Heart Journal and Biological Psychiatry.

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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