Paul B. Sharp

478 citations
20 papers · 294 · h-index 9

Impact in

Papers in

Paul B. Sharp

18 papers receiving 280 citations

Peers

Paul B. Sharp
Comparison fields: 5 of 56
  • Experimental and Cognitive Psychology 152
  • Cognitive Neuroscience 118
  • Behavioral Neuroscience 20
  • Applied Psychology 22
  • General Decision Sciences 8
Replace Kristen L. Mackiewicz Seghete with:
Kristen L. Mackiewicz Seghete United States
Ema Tanovic United States
Amanda Flores Spain
Merav H. Silverman United States
Tanja Andor Germany
Iulia Banica Canada
Yue Shen China
Raoul Dieterich Germany
Licheng Mo China
Sophie L. van Uijen Netherlands
Paul B. Sharp relative to Kristen L. Mackiewicz Seghete United States Kristen L. Mackiewicz Seghete's profile →
Citations per field
00.5×1.7×
Kristen L. Mackiewicz Seghete · 1×
Citations per year

Countries citing papers authored by Paul B. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Paul B. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul B. Sharp. 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 Paul B. Sharp. The network helps show where Paul B. Sharp may publish in the future.

Co-authors

The 23 scholars most cited alongside Paul B. Sharp, 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 Paul B. Sharp Line = papers co-authored together Paul B. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015102
2 201844
3 201922
4 201919
5 201919
6 202119
7 202214
8 202012
9 20248
10 20188
11 20177
12 20217
13 20225
14 20223
15 20212
16 20241
17 19921
18 20251
19 20170
20 20240

About Paul B. Sharp

Paul B. Sharp is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Clinical Psychology, General Decision Sciences and Economics and Econometrics, having authored 20 papers that have together received 294 indexed citations. Recurring topics across this work include Mental Health Research Topics (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers), Functional Brain Connectivity Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Decision-Making and Behavioral Economics (3 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Mental Health and Psychiatry (2 papers) and Educational and Psychological Assessments (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (152 citations), Cognitive Neuroscience (118 citations), Behavioral Neuroscience (20 citations), Applied Psychology (22 citations) and General Decision Sciences (8 citations). Paul B. Sharp has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Gregory A. Miller, Wendy Heller, Eran Eldar, Eva H. Telzer, Raymond J. Dolan, T. Kathy, Bradley P. Sutton, Ruchika Shaurya Prakash, Charles H. Hillman and Aron K. Barbey. Their work appears in journals such as Current Directions in Psychological Science, Australian & New Zealand Journal of Psychiatry, NeuroImage Clinical, International Journal of Psychophysiology and Clinical Psychological Science.

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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