Paul E. Weiland

17 total papers · 970 total citations
11 papers, 662 citations indexed

About

Paul E. Weiland is a scholar working on Social Psychology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Paul E. Weiland has authored 11 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 5 papers in Cognitive Neuroscience and 4 papers in Clinical Psychology. Recurrent topics in Paul E. Weiland's work include Deception detection and forensic psychology (5 papers), Pain Management and Placebo Effect (4 papers) and Sexual Assault and Victimization Studies (3 papers). Paul E. Weiland is often cited by papers focused on Deception detection and forensic psychology (5 papers), Pain Management and Placebo Effect (4 papers) and Sexual Assault and Victimization Studies (3 papers). Paul E. Weiland collaborates with scholars based in United States. Paul E. Weiland's co-authors include Andrew L. Geers, Suzanne G. Helfer, Kristin Kosbab, G. Daniel Lassiter, Ian M. Handley, Catherine Loh, Christine A. Gidycz, Cindy L. Rich and Justin A. Wellman and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Applied Psychology and Journal of Psychosomatic Research.

In The Last Decade

Paul E. Weiland

11 papers receiving 611 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Paul E. Weiland	385	183	168	166	94	11	662
Brittany C. Solomon	94 0.2×	91 0.5×	275 1.6×	133 0.8×	69 0.7×	14	598
Timothy U. Ketterson	104 0.3×	105 0.6×	167 1.0×	140 0.8×	77 0.8×	20	780
J. Parker Goyer	161 0.4×	97 0.5×	186 1.1×	237 1.4×	121 1.3×	14	693
Tiffany A. Ito	168 0.4×	105 0.6×	98 0.6×	100 0.6×	56 0.6×	16	626
Kuldhir S. Bhati	118 0.3×	53 0.3×	175 1.0×	146 0.9×	104 1.1×	7	595
Jennifer L. Boothby	156 0.4×	161 0.9×	229 1.4×	93 0.6×	131 1.4×	16	676
Andrea M. Hackl	172 0.4×	86 0.5×	321 1.9×	106 0.6×	117 1.2×	7	598
Bennett Foddy	186 0.5×	66 0.4×	119 0.7×	54 0.3×	239 2.5×	23	594
John Lam	56 0.1×	139 0.8×	131 0.8×	109 0.7×	54 0.6×	12	633
William L. Mikulas	327 0.8×	56 0.3×	431 2.6×	194 1.2×	92 1.0×	31	736

Countries citing papers authored by Paul E. Weiland

Since Specialization

Citations

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

Fields of papers citing papers by Paul E. Weiland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul E. Weiland

This figure shows the co-authorship network connecting the top 25 collaborators of Paul E. Weiland. A scholar is included among the top collaborators of Paul E. Weiland 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 Paul E. Weiland. Paul E. Weiland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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