Kevin Schnepel

70 total papers · 845 total citations
24 papers, 435 citations indexed

About

Kevin Schnepel is a scholar working on Sociology and Political Science, Economics and Econometrics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kevin Schnepel has authored 24 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 8 papers in Economics and Econometrics and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kevin Schnepel's work include Crime Patterns and Interventions (7 papers), Criminal Justice and Corrections Analysis (6 papers) and Opioid Use Disorder Treatment (5 papers). Kevin Schnepel is often cited by papers focused on Crime Patterns and Interventions (7 papers), Criminal Justice and Corrections Analysis (6 papers) and Opioid Use Disorder Treatment (5 papers). Kevin Schnepel collaborates with scholars based in United States, Australia and Canada. Kevin Schnepel's co-authors include Daniel I. Rees, Stephen B. Billings, Douglas G. Steigerwald, Michael Mueller‐Smith, Don Weatherburn, Thomas C. Mettenleiter, Allison Groseth, Sven Ehlert, Patrick Bohn and Thomas Hoenen and has published in prestigious journals such as The Economic Journal, The Review of Economics and Statistics and The Review of Economic Studies.

In The Last Decade

Kevin Schnepel

20 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Kevin Schnepel	245	123	54	52	44	24	435
Evan Roberts	131 0.5×	118 1.0×	19 0.4×	83 1.6×	63 1.4×	47	433
Jonas Helgertz	193 0.8×	81 0.7×	34 0.6×	129 2.5×	53 1.2×	40	474
Pali Lehohla	119 0.5×	62 0.5×	20 0.4×	78 1.5×	16 0.4×	16	410
Keith Finlay	122 0.5×	118 1.0×	7 0.1×	85 1.6×	41 0.9×	23	424
Pei‐Shan Liao	182 0.7×	61 0.5×	60 1.1×	45 0.9×	35 0.8×	22	441
Casey Warman	247 1.0×	173 1.4×	27 0.5×	128 2.5×	25 0.6×	32	472
Tinh Doan	85 0.3×	178 1.4×	16 0.3×	81 1.6×	20 0.5×	55	475
Bernard Baffour	130 0.5×	33 0.3×	14 0.3×	99 1.9×	17 0.4×	48	462
R.I. Woods	139 0.6×	167 1.4×	31 0.6×	93 1.8×	45 1.0×	13	402
Katie R. Genadek	216 0.9×	68 0.6×	9 0.2×	117 2.3×	92 2.1×	29	439

Countries citing papers authored by Kevin Schnepel

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Schnepel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Schnepel

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