Fadia M. Narchet

712 total citations
8 papers, 399 citations indexed

About

Fadia M. Narchet is a scholar working on Social Psychology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Fadia M. Narchet has authored 8 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 4 papers in Clinical Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Fadia M. Narchet's work include Deception detection and forensic psychology (5 papers), Sexual Assault and Victimization Studies (3 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (3 papers). Fadia M. Narchet is often cited by papers focused on Deception detection and forensic psychology (5 papers), Sexual Assault and Victimization Studies (3 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (3 papers). Fadia M. Narchet collaborates with scholars based in United States. Fadia M. Narchet's co-authors include Melissa B. Russano, Christian A. Meissner, Saul M. Kassin, Steven M. Kleinman and Carlos A. Cuevas and has published in prestigious journals such as Psychological Science, Applied Cognitive Psychology and Law and Human Behavior.

In The Last Decade

Fadia M. Narchet

8 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fadia M. Narchet United States 6 350 201 162 146 45 8 399
Kimberly D. Richman United States 6 244 0.7× 136 0.7× 99 0.6× 123 0.8× 62 1.4× 10 316
Stephen W. Michael United States 8 354 1.0× 191 1.0× 144 0.9× 153 1.0× 46 1.0× 11 399
Emily Alison United Kingdom 8 270 0.8× 206 1.0× 109 0.7× 281 1.9× 86 1.9× 12 462
Steven M. Kleinman United States 13 383 1.1× 175 0.9× 161 1.0× 244 1.7× 104 2.3× 23 476
Hayley M. D. Cleary United States 11 154 0.4× 149 0.7× 45 0.3× 151 1.0× 82 1.8× 25 313
Melissa B. Russano United States 12 677 1.9× 354 1.8× 339 2.1× 284 1.9× 103 2.3× 20 766
Stamatis Elntib United Kingdom 8 239 0.7× 111 0.6× 101 0.6× 159 1.1× 78 1.7× 17 330
Colin Clarke United Kingdom 7 185 0.5× 89 0.4× 85 0.5× 79 0.5× 77 1.7× 12 283
Andre Kehn United States 13 178 0.5× 91 0.5× 101 0.6× 243 1.7× 24 0.5× 42 451
Ellen Wessel Norway 9 222 0.6× 117 0.6× 84 0.5× 115 0.8× 15 0.3× 10 344

Countries citing papers authored by Fadia M. Narchet

Since Specialization
Citations

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

Fields of papers citing papers by Fadia M. Narchet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadia M. Narchet

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

All Works

8 of 8 papers shown
1.
Narchet, Fadia M., et al.. (2021). Does Setting Matter? An Exploratory Examination of Victimization Risk Reduction Strategies Among Female College Students Studying Abroad. Violence Against Women. 28(10). 2493–2506. 2 indexed citations
2.
Narchet, Fadia M., et al.. (2018). Domestic Violence Agency Personnel Experiences With and Perceptions of the Lethality Assessment Program. Violence and Victims. 33(3). 417–435. 8 indexed citations
3.
Russano, Melissa B., Fadia M. Narchet, Steven M. Kleinman, & Christian A. Meissner. (2014). Structured Interviews of Experienced HUMINT Interrogators. Applied Cognitive Psychology. 28(6). 847–859. 56 indexed citations
4.
Russano, Melissa B., Fadia M. Narchet, & Steven M. Kleinman. (2014). Analysts, Interpreters, and Intelligence Interrogations: Perceptions and Insights. Applied Cognitive Psychology. 28(6). 829–846. 20 indexed citations
5.
Narchet, Fadia M., et al.. (2011). A university sexual misconduct policy: Prioritizing student victims’ voices. Crime Prevention and Community Safety. 13(1). 16–33. 7 indexed citations
6.
Narchet, Fadia M., Christian A. Meissner, & Melissa B. Russano. (2010). Modeling the influence of investigator bias on the elicitation of true and false confessions.. Law and Human Behavior. 35(6). 452–465. 87 indexed citations
7.
Russano, Melissa B., Christian A. Meissner, Fadia M. Narchet, & Saul M. Kassin. (2005). Investigating True and False Confessions Within a Novel Experimental Paradigm. Psychological Science. 16(6). 481–486. 218 indexed citations
8.
Narchet, Fadia M.. (2005). Modeling the role of investigator bias, interrogation techniques, and suspect decision -making on the likelihood of confession. Florida International University Digital Commons (Florida International University). 1 indexed citations

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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