Ian McCulloh

1.0k total citations
45 papers, 485 citations indexed

About

Ian McCulloh is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Ian McCulloh has authored 45 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistical and Nonlinear Physics, 12 papers in Artificial Intelligence and 10 papers in Sociology and Political Science. Recurrent topics in Ian McCulloh's work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (7 papers) and Social Media and Politics (5 papers). Ian McCulloh is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (7 papers) and Social Media and Politics (5 papers). Ian McCulloh collaborates with scholars based in United States, Australia and Switzerland. Ian McCulloh's co-authors include Kathleen M. Carley, Kerstin Sailer, H. L. Armstrong, Munqith Dagher, Emily B. Falk, Matthew D. Lieberman, J. Douglas Storey, Terrill L. Frantz, Onur Savas and Nathaniel T. Stevens and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and American Journal of Transplantation.

In The Last Decade

Ian McCulloh

41 papers receiving 449 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ian McCulloh United States 10 136 109 77 49 43 45 485
Lei Hou China 15 183 1.3× 168 1.5× 142 1.8× 10 0.2× 14 0.3× 48 616
Brian F. Tivnan United States 10 116 0.9× 173 1.6× 135 1.8× 6 0.1× 79 1.8× 30 739
Lijing Zhao China 11 49 0.4× 103 0.9× 21 0.3× 12 0.2× 96 2.2× 29 532
Vedran Sekara Denmark 10 245 1.8× 163 1.5× 52 0.7× 20 0.4× 28 0.7× 17 762
Hancheng Cao United States 13 29 0.2× 77 0.7× 121 1.6× 32 0.7× 25 0.6× 29 505
Thomas Chadefaux Ireland 8 161 1.2× 272 2.5× 88 1.1× 24 0.5× 13 0.3× 25 731
Chengjun Wang China 14 34 0.3× 104 1.0× 95 1.2× 13 0.3× 23 0.5× 69 533
Jin Mao China 16 91 0.7× 131 1.2× 207 2.7× 7 0.1× 15 0.3× 56 595
Michael Macy United States 7 181 1.3× 233 2.1× 35 0.5× 11 0.2× 29 0.7× 9 643
Martin Szomszor United Kingdom 16 61 0.4× 179 1.6× 214 2.8× 8 0.2× 14 0.3× 42 965

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-authorship network of co-authors of Ian McCulloh

This figure shows the co-authorship network connecting the top 25 collaborators of Ian McCulloh. A scholar is included among the top collaborators of Ian McCulloh 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 Ian McCulloh. Ian McCulloh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McCulloh, Ian, Darren Stewart, K Kiernan, et al.. (2023). An experiment on the impact of predictive analytics on kidney offers acceptance decisions. American Journal of Transplantation. 23(7). 957–965. 6 indexed citations
2.
McCulloh, Ian, et al.. (2023). Fragile Minds: Exploring the Link Between Social Media and Young Adult Mental Health. 475–479. 1 indexed citations
3.
McCulloh, Ian, et al.. (2023). Unmasking Bias in Chat GPT Responses. 687–691. 5 indexed citations
4.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). The interdisciplinary nature of network monitoring: Advantages and disadvantages. Quality Engineering. 33(4). 731–735. 1 indexed citations
5.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Broader impacts of network monitoring: Its role in government, industry, technology, and beyond. Quality Engineering. 33(4). 749–757. 2 indexed citations
6.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Research in network monitoring: Connections with SPM and new directions. Quality Engineering. 33(4). 736–748. 6 indexed citations
7.
Stevens, Nathaniel T., James Wilson, Ian McCulloh, et al.. (2021). Foundations of network monitoring: Definitions and applications. Quality Engineering. 33(4). 719–730. 3 indexed citations
8.
McCulloh, Ian, et al.. (2020). Neural reference groups: a synchrony-based classification approach for predicting attitudes using fNIRS. Social Cognitive and Affective Neuroscience. 16(1-2). 117–128. 9 indexed citations
9.
Levin, David, et al.. (2020). Improving LDA Topic Modeling with Gamma and Simmelian Filtration. 692–696.
10.
McCulloh, Ian, et al.. (2020). Improved Estimation of Daily COVID-19 Rate from Incomplete Data. 584. 153–158. 1 indexed citations
11.
McCulloh, Ian, et al.. (2019). Making social neuroscience less WEIRD: Using fNIRS to measure neural signatures of persuasive influence in a Middle East participant sample.. Journal of Personality and Social Psychology. 116(3). e1–e11. 21 indexed citations
12.
McCulloh, Ian, et al.. (2019). Social media as a main source of customer feedback. 12 indexed citations
13.
McCulloh, Ian. (2009). Detecting Changes in a Dynamic Social Network. 7 indexed citations
14.
McCulloh, Ian, et al.. (2008). Using Latent Semantic Analysis of Email to Detect Change in Social Groups.. 613–618. 1 indexed citations
15.
Henderson, Stephen, et al.. (2008). Gathering and Studying Email Traffic to Understand Social Networks.. 338–343. 2 indexed citations
16.
McCulloh, Ian, et al.. (2008). Network Simulation Models. 43(5). 713–8. 2 indexed citations
17.
McCulloh, Ian & Kathleen M. Carley. (2008). Dynamic Network Change Detection. 2 indexed citations
18.
McCulloh, Ian, et al.. (2008). Unobtrusive Social Network Data From Email. 6 indexed citations
19.
McCulloh, Ian, et al.. (2007). Social network probability mechanics. International Conference on Applied Mathematics. 319–323. 10 indexed citations
20.
McCulloh, Ian, et al.. (2005). TAKE BOARDS!. PRIMUS. 15(2). 145–156. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Lei Hou Breakdown of academic impact, for papers by Brian F. Tivnan Breakdown of academic impact, for papers by Lijing Zhao Breakdown of academic impact, for papers by Vedran Sekara Breakdown of academic impact, for papers by Hancheng Cao Breakdown of academic impact, for papers by Thomas Chadefaux Breakdown of academic impact, for papers by Chengjun Wang Breakdown of academic impact, for papers by Jin Mao Breakdown of academic impact, for papers by Michael Macy Breakdown of academic impact, for papers by Martin Szomszor
Rankless by CCL
2026