Christopher McCarty

6.4k citations
95 papers · 3.7k indexed · 1 hit paper · h-index 33

Christopher McCarty

88 papers receiving 3.4k citations

Hit Papers

Developing a model for AI Across the curriculum: Transfor...233202320262024202550100150200

Peers

Christopher McCarty
Comparison fields: 5 of 161
  • Statistical and Nonlinear Physics 605
  • Health Informatics 65
  • Communication 288
  • Sociology and Political Science 1.7k
  • Health 249
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Matthew Salganik United States
Mirta Galešić Germany
Frauke Kreuter United States
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Citations per field
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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-authorship network

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
#Work
1 20250
2 20250
3 20241
4 20230
5 20223
6 20221
7 202026
8
Culture in Interdependent Critical Infrastructure
20191
9
Depression in African Americans: Using genetic and social network data to investigate variation in symptoms of depression
20181
10 20187
11
How desmos trumps cas calculators
20170
12
Cultural meaning, social structure, and the health effects of systemic racism: The HEAT Heart Health study
20151
13 20156
14 201511
15 20100
16 2010111
17 200953
18
EL APOYO SOCIAL EN SITUACIONES DE CRISIS: UN ESTUDIO DE CASO DESDE LA PERSPECTIVA DE LA REDES PERSONALES
20082
19 200817
20
Structure in personal networks
2002207

About Christopher McCarty

Christopher McCarty is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Communication, having authored 95 papers that have together received 3.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Social Capital and Networks (15 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), Mental Health Research Topics (5 papers) and Disaster Management and Resilience (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (605 citations), Health Informatics (65 citations) and Communication (288 citations). Christopher McCarty has collaborated with scholars based in United States, United Kingdom and Spain. 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, Ulrik Brandes and Jürgen Lerner. Their work appears in journals such as Social Networks, Human Organization, Field Methods, Scientometrics and Journal of Informetrics.

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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2026