Ian McCulloh

41 papers receiving 464 citations

Peers

Ian McCulloh
Comparison fields: 5 of 114
  • Statistical and Nonlinear Physics 137
  • Statistics, Probability and Uncertainty 37
  • Communication 34
  • Transportation 32
  • Building and Construction 49
Replace Vedran Sekara with:
Vedran Sekara Denmark
Brian F. Tivnan United States
Martin Szomszor United Kingdom
Jin Mao China
Gizem Korkmaz United States
Stefano Balietti United States
Chengjun Wang China
Lijing Zhao China
Wenjie Fu China
Sergei Koltcov Russia
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Citations per field
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Citations per year

Countries citing papers authored by Ian McCulloh

Since Specialization
Citations

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

Fields of papers citing papers by Ian McCulloh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011132
2
Social Network Analysis with Applications
201390
3 201183
4 201922
5 200815
6 202012
7 201912
8
Social network probability mechanics
200710
9 202010
10 200810
11 20217
12
Detecting Changes in a Dynamic Social Network
20097
13 20237
14 20236
15
Unobtrusive Social Network Data From Email
20086
16 20126
17 20196
18 20095
19
Techniques Used to Estimate Limit Velocity in Ballistics Testing with Small Sample Size
20055
20 20214

About Ian McCulloh

Ian McCulloh is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Sociology and Political Science, Information Systems and Communication, having authored 45 papers that have together received 499 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (7 papers), Social Media and Politics (5 papers), Spam and Phishing Detection (4 papers), Misinformation and Its Impacts (4 papers), Advanced Statistical Process Monitoring (4 papers), COVID-19 epidemiological studies (3 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (137 citations), Statistics, Probability and Uncertainty (37 citations), Communication (34 citations), Transportation (32 citations) and Building and Construction (49 citations). Ian McCulloh has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Kathleen M. Carley, Kerstin Sailer, H. L. Armstrong, Munqith Dagher, Emily B. Falk, Matthew D. Lieberman, J. Douglas Storey, Onur Savas, Terrill L. Frantz and K Kiernan. Their work appears in journals such as Quality Engineering, Social Cognitive and Affective Neuroscience, Journal of Personality and Social Psychology, Frontiers in Big Data and Journal of Mathematical Sociology.

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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