Peter J. Mucha

12.4k total citations · 4 hit papers
158 papers, 7.7k citations indexed

About

Peter J. Mucha is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Molecular Biology. According to data from OpenAlex, Peter J. Mucha has authored 158 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistical and Nonlinear Physics, 23 papers in Computational Mechanics and 22 papers in Molecular Biology. Recurrent topics in Peter J. Mucha's work include Complex Network Analysis Techniques (53 papers), Opinion Dynamics and Social Influence (35 papers) and Functional Brain Connectivity Studies (19 papers). Peter J. Mucha is often cited by papers focused on Complex Network Analysis Techniques (53 papers), Opinion Dynamics and Social Influence (35 papers) and Functional Brain Connectivity Studies (19 papers). Peter J. Mucha collaborates with scholars based in United States, United Kingdom and Germany. Peter J. Mucha's co-authors include Mason A. Porter, Danielle S. Bassett, Thomas Richardson, Scott T. Grafton, Jukka-Pekka Onnela, Nicholas F. Wymbs, K. T. Macon, Jean M. Carlson, Amanda L. Traud and Greg Turk and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter J. Mucha

141 papers receiving 7.4k citations

Hit Papers

Community Structure in Ti... 2010 2026 2015 2020 2010 2011 2011 2019 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter J. Mucha 2.5k 2.1k 814 813 801 158 7.7k
Luciano da Fontoura Costa 2.4k 0.9× 810 0.4× 1.7k 2.1× 279 0.3× 112 0.1× 298 8.8k
Zhen Wang 3.9k 1.5× 774 0.4× 605 0.7× 1.3k 1.6× 314 0.4× 557 17.5k
Desmond J. Higham 1.7k 0.7× 1.1k 0.5× 1.1k 1.4× 163 0.2× 687 0.9× 163 8.6k
Daniel Weiskopf 697 0.3× 543 0.3× 206 0.3× 329 0.4× 1.1k 1.4× 388 8.0k
Mason A. Porter 5.9k 2.3× 2.4k 1.1× 1.3k 1.6× 960 1.2× 353 0.4× 224 12.1k
Hernán A. Makse 6.1k 2.4× 712 0.3× 1.3k 1.6× 648 0.8× 2.6k 3.2× 187 14.9k
Patrick J. Flynn 663 0.3× 439 0.2× 743 0.9× 212 0.3× 755 0.9× 223 19.1k
Joachim M. Buhmann 408 0.2× 1.7k 0.8× 2.1k 2.6× 338 0.4× 448 0.6× 235 12.5k
A. John Mallinckrodt 1.6k 0.6× 518 0.2× 1.4k 1.7× 88 0.1× 763 1.0× 71 10.0k
János Kertész 5.7k 2.3× 698 0.3× 834 1.0× 594 0.7× 456 0.6× 237 12.1k

Countries citing papers authored by Peter J. Mucha

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Mucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Mucha. 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 Peter J. Mucha. The network helps show where Peter J. Mucha may publish in the future.

Co-authorship network of co-authors of Peter J. Mucha

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Mucha. A scholar is included among the top collaborators of Peter J. Mucha 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 Peter J. Mucha. Peter J. Mucha 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.
Masuda, Naoki, et al.. (2025). Introduction to correlation networks: Interdisciplinary approaches beyond thresholding. Physics Reports. 1136. 1–39.
2.
Barrett, Tyler M., Georgia Titcomb, Mark Janko, et al.. (2024). Disentangling social, environmental, and zoonotic transmission pathways of a gastrointestinal protozoan (Blastocystis spp.) in northeast Madagascar. American Journal of Biological Anthropology. 185(3). e25030–e25030. 1 indexed citations
3.
Zhou, Dale, Yoona Kang, Danielle Cosme, et al.. (2023). Mindful attention promotes control of brain network dynamics for self-regulation and discontinues the past from the present. Proceedings of the National Academy of Sciences. 120(2). e2201074119–e2201074119. 14 indexed citations
4.
Cosme, Danielle, Bruce Doré, Yoona Kang, et al.. (2023). Psychological distance intervention reminders reduce alcohol consumption frequency in daily life. Scientific Reports. 13(1). 12045–12045. 4 indexed citations
5.
Mucha, Peter J., et al.. (2022). A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults. Proceedings of the National Academy of Sciences. 119(44). e2203682119–e2203682119. 19 indexed citations
6.
Titcomb, Georgia, Michelle Pender, James P. Herrera, et al.. (2022). Comparing transmission potential networks based on social network surveys, close contacts and environmental overlap in rural Madagascar. Journal of The Royal Society Interface. 19(186). 20210690–20210690. 10 indexed citations
7.
McGowan, Amanda L., Yoona Kang, Peter J. Mucha, et al.. (2022). Within-Person Associations Among Physical Activity, Sleep, and Well-being in Situ: Opportunities for Whole-Person Well-being. Iproceedings. 8(1). e39268–e39268.
8.
McGowan, Amanda L., Yoona Kang, Peter J. Mucha, et al.. (2022). Within-Person Temporal Associations Among Self-Reported Physical Activity, Sleep, and Well-Being in College Students. Psychosomatic Medicine. 85(2). 141–153. 7 indexed citations
9.
Tan, Kelly, Sheila Judge Santacroce, William A. Wood, et al.. (2021). Positive psychological states and stress responses in caregivers of adults receiving an allogeneic bone marrow transplant: A study protocol. Journal of Advanced Nursing. 77(4). 2073–2084. 2 indexed citations
10.
Jackson, Joshua Conrad, Joseph Watts, Teague R. Henry, et al.. (2019). Emotion semantics show both cultural variation and universal structure. Science. 366(6472). 1517–1522. 229 indexed citations breakdown →
11.
Carsey, Thomas M., Karamarie Fecho, Kevin Jeffay, et al.. (2017). Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education. Big Data. 5(1). 12–18. 13 indexed citations
12.
Mucha, Peter J., et al.. (2015). Spot on oral skills for secondary schools. Oxford University Press eBooks. 1 indexed citations
13.
Taylor, Dane, Florian Klimm, Heather A. Harrington, et al.. (2014). Complex contagions on noisy geometric networks.. arXiv (Cornell University). 1 indexed citations
14.
Rombach, M. Puck, et al.. (2013). Core-Periphery Structure in Networks. 223 indexed citations
15.
Bassett, Danielle S., Nicholas F. Wymbs, M. Puck Rombach, et al.. (2012). Core-Periphery Organisation of Human Brain Dynamics. arXiv (Cornell University). 8 indexed citations
16.
Richardson, Thomas S., Peter J. Mucha, & Mason A. Porter. (2008). Beyond Bisection: Eigenvector-Based Partitioning of Networks into Multiple Communities. arXiv (Cornell University). 1 indexed citations
17.
Traud, Amanda L., Eric D. Kelsic, Peter J. Mucha, & Mason A. Porter. (2008). Community Structure in Online Collegiate Social Networks. arXiv (Cornell University). 29 indexed citations
18.
Mucha, Peter J., et al.. (2007). Rayleigh-Taylor Instability in a Sedimenting Suspension. Bulletin of the American Physical Society. 57. 2 indexed citations
19.
Wojtan, Chris, Peter J. Mucha, & Greg Turk. (2006). Keyframe control of complex particle systems using the adjoint method. 15–23. 45 indexed citations
20.
Mucha, Peter J., et al.. (2004). The Bowl Championship Series: A Mathematical Review. CERN Bulletin. 1 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.

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