Christopher McCarty

6.5k citations
96 papers · 3.8k · 1 hit paper · h-index 33

Impact in

Papers in

Christopher McCarty

87 papers receiving 3.5k citations

Christopher McCarty's Hit Papers

Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy 2023 · 263 citations
2630+1+2Years since publication50100150200250

Peers

Christopher McCarty
Comparison fields: 5 of 157
  • Health Informatics 67
  • Statistical and Nonlinear Physics 608
  • Communication 292
  • Sociology and Political Science 1.6k
  • Health 208
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Christopher McCarty relative to Matthew Salganik United States Matthew Salganik's profile →
Citations per field
00.5×4.8×
Matthew Salganik · 1×
Citations per year

Countries citing papers authored by Christopher McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Christopher McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher McCarty, 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 Christopher McCarty Line = papers co-authored together Christopher McCarty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy
Hit paper breakdown →
2023263
2 2001261
3
Structure in personal networks
2002208
4 2009189
5 2007163
6 2009155
7 1990144
8 1997139
9 1990132
10 2010120
11 1998112
12 2007112
13 1996110
14 200798
15 199894
16 201392
17 200691
18 198870
19 200768
20 198468

About Christopher McCarty

Christopher McCarty is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Epidemiology, General Health Professions and Statistics, Probability and Uncertainty, having authored 96 papers that have together received 3.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Social Capital and Networks (16 papers), Opinion Dynamics and Social Influence (10 papers), HIV, Drug Use, Sexual Risk (9 papers), scientometrics and bibliometrics research (8 papers), Urban, Neighborhood, and Segregation Studies (6 papers), Disaster Management and Resilience (5 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Health Informatics (67 citations), Statistical and Nonlinear Physics (608 citations), Communication (292 citations), Sociology and Political Science (1.6k citations) and Health (208 citations). Christopher McCarty has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Peter D. Killworth, H. Russell Bernard, Gene A. Shelley, Eugene C. Johnsen, Stanley K. Smith, José Luís Molina, Miranda J. Lubbers, James Rennell, Jürgen Lerner and Ulrik Brandes. Their work appears in journals such as Social Networks, Human Organization, Field Methods, Scientometrics and PLoS ONE.

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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