Daniel J. Lytle MS

411 citations
19 papers · 259 · h-index 8

Impact in

Papers in

Daniel J. Lytle MS

19 papers receiving 227 citations

Peers

Daniel J. Lytle MS
Comparison fields: 5 of 29
  • Political Science and International Relations 182
  • Law 25
  • Sociology and Political Science 84
  • Life-span and Life-course Studies 1
  • Health 6
Replace Gerd Oberleitner with:
Gerd Oberleitner Austria
Peter Radan Australia
Tobias Singelnstein Germany
Yolander G. Hurst United States
Ademola Abass Belgium
Theodora Kostakopoulou United Kingdom
Sylvain Vité Switzerland
Alasia Nuti United Kingdom
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Daniel J. Lytle MS relative to Gerd Oberleitner Austria Gerd Oberleitner's profile →
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Citations per year

Countries citing papers authored by Daniel J. Lytle MS

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Lytle MS

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Lytle MS. 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 Daniel J. Lytle MS. The network helps show where Daniel J. Lytle MS may publish in the future.

Co-authors

The 8 scholars most cited alongside Daniel J. Lytle MS, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Lytle MS Line = papers co-authored together Daniel J. Lytle MS links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202073
2 201445
3 200825
4 201524
5 202021
6 202017
7 201516
8 200811
9
A meta-analysis of suspect demographic characteristics and American police officer search decisions
20187
10 20064
11 20104
12
Decision Making in Criminal Justice Revisited: Toward a General Theory of Criminal Justice
20133
13 20082
14 20082
15 20061
16 20091
17 20101
18 20211
19 20251

About Daniel J. Lytle MS

Daniel J. Lytle MS is a scholar working on Political Science and International Relations, Sociology and Political Science, Law, History and Philosophy of Science and Organizational Behavior and Human Resource Management, having authored 19 papers that have together received 259 indexed citations. Recurring topics across this work include Policing Practices and Perceptions (15 papers), Crime Patterns and Interventions (3 papers), Criminal Justice and Corrections Analysis (2 papers), Criminal Justice and Penology (2 papers), Doctoral Education Challenges and Solutions (1 paper), Stress and Burnout Research (1 paper), Educational Theory and Curriculum Studies (1 paper) and Conferences and Exhibitions Management (1 paper). The work is most often cited by research in Political Science and International Relations (182 citations), Law (25 citations), Sociology and Political Science (84 citations), Life-span and Life-course Studies (1 citation) and Health (6 citations). Daniel J. Lytle MS has collaborated with scholars based in United States. Frequent co-authors include Philip Colin Bolger, Ryan Randa, Jonathan Intravia, Lawrence F. Travis, Dale W. Willits, Carol A. Archbold, Carlos del Valle Rojas and Hunter M. Boehme. Their work appears in journals such as Policing An International Journal, Journal of Criminal Justice, International Criminal Justice Review, Journal of Criminal Justice Education and Policing & Society.

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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