Steven Kemp

36 total papers · 898 total citations
21 papers, 539 citations indexed

About

Steven Kemp is a scholar working on Sociology and Political Science, Information Systems and Political Science and International Relations. According to data from OpenAlex, Steven Kemp has authored 21 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 11 papers in Information Systems and 2 papers in Political Science and International Relations. Recurrent topics in Steven Kemp's work include Cybercrime and Law Enforcement Studies (11 papers), Crime, Illicit Activities, and Governance (8 papers) and Crime Patterns and Interventions (8 papers). Steven Kemp is often cited by papers focused on Cybercrime and Law Enforcement Studies (11 papers), Crime, Illicit Activities, and Governance (8 papers) and Crime Patterns and Interventions (8 papers). Steven Kemp collaborates with scholars based in Spain, United Kingdom and Australia. Steven Kemp's co-authors include David Buil‐Gil, Fernando Miró Llinares, Asier Moneva, Gary Madden, Scott Savage, Stefanie Kuenzel, Lynne Coventry, J. W. Nicholson, Nicholas Lord and Narinder Kapur and has published in prestigious journals such as Computers in Human Behavior, International Journal of Environmental Research and Public Health and Computers & Security.

In The Last Decade

Steven Kemp

20 papers receiving 484 citations

Hit Papers

Cybercrime and shifts in ... 2020 2026 2022 2024 2020 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Steven Kemp 240 219 89 87 59 21 539
José Vila 147 0.6× 111 0.5× 61 0.7× 108 1.2× 13 0.2× 32 520
Rohit Valecha 284 1.2× 128 0.6× 36 0.4× 47 0.5× 9 0.2× 39 594
Wenzhuo Li 113 0.5× 159 0.7× 20 0.2× 66 0.8× 11 0.2× 21 579
Brian J. Reithel 187 0.8× 163 0.7× 22 0.2× 30 0.3× 10 0.2× 33 592
Umar Ruhi 240 1.0× 149 0.7× 29 0.3× 13 0.1× 71 1.2× 28 583
Fernando van der Vlist 278 1.2× 68 0.3× 23 0.3× 18 0.2× 42 0.7× 25 503
Daniel G. Arce 268 1.1× 61 0.3× 42 0.5× 144 1.7× 55 0.9× 59 584
Jason Schultz 214 0.9× 100 0.5× 17 0.2× 36 0.4× 71 1.2× 35 594
Mark Lokanan 209 0.9× 125 0.6× 40 0.4× 79 0.9× 14 0.2× 49 519
Jian Lin 270 1.1× 60 0.3× 71 0.8× 23 0.3× 64 1.1× 27 583

Countries citing papers authored by Steven Kemp

Since Specialization
Citations

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

Fields of papers citing papers by Steven Kemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Kemp. 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 Steven Kemp. The network helps show where Steven Kemp may publish in the future.

Co-authorship network of co-authors of Steven Kemp

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Kemp. A scholar is included among the top collaborators of Steven Kemp 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 Steven Kemp. Steven Kemp 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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