Kathryn C. Seigfried‐Spellar

1.1k total citations
45 papers, 669 citations indexed

About

Kathryn C. Seigfried‐Spellar is a scholar working on Sociology and Political Science, Clinical Psychology and Information Systems. According to data from OpenAlex, Kathryn C. Seigfried‐Spellar has authored 45 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 23 papers in Clinical Psychology and 18 papers in Information Systems. Recurrent topics in Kathryn C. Seigfried‐Spellar's work include Sexuality, Behavior, and Technology (19 papers), Stalking, Cyberstalking, and Harassment (12 papers) and Cybercrime and Law Enforcement Studies (11 papers). Kathryn C. Seigfried‐Spellar is often cited by papers focused on Sexuality, Behavior, and Technology (19 papers), Stalking, Cyberstalking, and Harassment (12 papers) and Cybercrime and Law Enforcement Studies (11 papers). Kathryn C. Seigfried‐Spellar collaborates with scholars based in United States, Spain and Slovenia. Kathryn C. Seigfried‐Spellar's co-authors include Marcus Rogers, Adam M. Bossler, Thomas J. Holt, Kim‐Kwang Raymond Choo, Donald R. Lynam, E. Carbonell, Michael Losavio, John J. Sloan, Ming Ming Chiu and Ümit Karabiyik and has published in prestigious journals such as Computers in Human Behavior, Personality and Individual Differences and BMC Public Health.

In The Last Decade

Kathryn C. Seigfried‐Spellar

43 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathryn C. Seigfried‐Spellar United States 15 360 286 201 198 97 45 669
Afsaneh Razi United States 13 245 0.7× 90 0.3× 71 0.4× 78 0.4× 185 1.9× 44 542
Allison McDonald United States 10 166 0.5× 94 0.3× 46 0.2× 71 0.4× 74 0.8× 21 351
Kathleen O'Leary United States 7 202 0.6× 86 0.3× 27 0.1× 61 0.3× 32 0.3× 9 431
Kevin F. Steinmetz United States 13 324 0.9× 74 0.3× 31 0.2× 182 0.9× 51 0.5× 46 454
Claire Hardaker United Kingdom 6 247 0.7× 73 0.3× 93 0.5× 70 0.4× 240 2.5× 13 613
Jonas De keersmaecker Belgium 12 455 1.3× 37 0.1× 62 0.3× 46 0.2× 92 0.9× 30 607
Sindhu Kiranmai Ernala United States 12 251 0.7× 69 0.2× 15 0.1× 47 0.2× 131 1.4× 24 665
Pinar Ozturk United States 8 304 0.8× 56 0.2× 28 0.1× 45 0.2× 72 0.7× 13 519
Umashanthi Pavalanathan United States 8 212 0.6× 40 0.1× 47 0.2× 70 0.4× 260 2.7× 10 530
Ahmad S. Haider Jordan 16 136 0.4× 98 0.3× 25 0.1× 129 0.7× 125 1.3× 85 842

Countries citing papers authored by Kathryn C. Seigfried‐Spellar

Since Specialization
Citations

This map shows the geographic impact of Kathryn C. Seigfried‐Spellar'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 Kathryn C. Seigfried‐Spellar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn C. Seigfried‐Spellar more than expected).

Fields of papers citing papers by Kathryn C. Seigfried‐Spellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn C. Seigfried‐Spellar. 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 Kathryn C. Seigfried‐Spellar. The network helps show where Kathryn C. Seigfried‐Spellar may publish in the future.

Co-authorship network of co-authors of Kathryn C. Seigfried‐Spellar

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn C. Seigfried‐Spellar. A scholar is included among the top collaborators of Kathryn C. Seigfried‐Spellar 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 Kathryn C. Seigfried‐Spellar. Kathryn C. Seigfried‐Spellar 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
1.
Seigfried‐Spellar, Kathryn C., et al.. (2024). Testing a hybrid risk assessment model: Predicting CSAM offender risk from digital forensic artifacts. Child Abuse & Neglect. 154. 106908–106908. 1 indexed citations
2.
Seigfried‐Spellar, Kathryn C., et al.. (2024). A multi-factor knuckle and nail bed verification tool for forensic imagery analysis. Child Abuse & Neglect. 154. 106910–106910. 1 indexed citations
3.
Seigfried‐Spellar, Kathryn C., et al.. (2024). Criminological differences between contact-driven and online-focused suspects in online child sexual grooming police reports. Child Abuse & Neglect. 149. 106696–106696. 6 indexed citations
4.
DeMaria, Andrea L., et al.. (2024). Exploring the role of salon professionals in identifying sex trafficking and violence victims in Indiana. BMC Public Health. 24(1). 2001–2001. 1 indexed citations
5.
Seigfried‐Spellar, Kathryn C., et al.. (2023). We are meeting on Microsoft Teams: Forensic analysis in Windows, Android, and iOS operating systems. Journal of Forensic Sciences. 68(2). 434–460. 7 indexed citations
6.
Seigfried‐Spellar, Kathryn C., et al.. (2023). Students’ Perceptions of a Cyber Enrichment Program. Gifted Child Today. 46(4). 266–272.
7.
8.
Seigfried‐Spellar, Kathryn C., et al.. (2022). Forensic Discoverability of iOS Vault Applications. ˜The œjournal of digital forensics, security and law. 2 indexed citations
9.
Seigfried‐Spellar, Kathryn C., et al.. (2021). A scoping review of child grooming strategies: pre- and post-internet. Child Abuse & Neglect. 123. 105392–105392. 36 indexed citations
10.
Seigfried‐Spellar, Kathryn C., et al.. (2019). Exploring Automatic Identification of Fantasy-Driven and Contact-Driven Sexual Solicitors. 532–537. 3 indexed citations
11.
Seigfried‐Spellar, Kathryn C., et al.. (2019). Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders. Forensic Science International. 297. e8–e10. 11 indexed citations
12.
Carbonell, E., et al.. (2019). Criminological differences between child pornography offenders arrested in Spain. Child Abuse & Neglect. 98. 104178–104178. 7 indexed citations
13.
14.
Seigfried‐Spellar, Kathryn C., et al.. (2017). Computer criminal behavior is related to psychopathy and other antisocial behavior. Journal of Criminal Justice. 51. 67–73. 20 indexed citations
15.
Seigfried‐Spellar, Kathryn C., et al.. (2017). Adults Who Sext: Exploring Differences In Self-Esteem, Moral Foundations, And Personality. Zenodo (CERN European Organization for Nuclear Research). 12 indexed citations
16.
Seigfried‐Spellar, Kathryn C., et al.. (2016). Differentiating Cyberbullies and Internet Trolls by Personality Characteristics and Self-Esteem. ˜The œjournal of digital forensics, security and law. 26 indexed citations
17.
Seigfried‐Spellar, Kathryn C., et al.. (2014). Differentiating Hackers, Identity Thieves, Cyberbullies, and Virus Writers by College Major and Individual Differences. Deviant Behavior. 35(10). 782–803. 11 indexed citations
18.
Seigfried‐Spellar, Kathryn C.. (2013). Individual Differences of Internet Child Pornography Users: Peculiar Findings in a Community-Based Study. 7(2). 141. 6 indexed citations
19.
Seigfried‐Spellar, Kathryn C. & Marcus Rogers. (2013). Does deviant pornography use follow a Guttman-like progression?. Computers in Human Behavior. 29(5). 1997–2003. 46 indexed citations
20.
Seigfried‐Spellar, Kathryn C. & Marcus Rogers. (2010). Low Neuroticism and High Hedonistic Traits for Female Internet Child Pornography Consumers. Cyberpsychology Behavior and Social Networking. 13(6). 629–635. 16 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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