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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 53 3314 3172 975 890 158 16428

Peter J. Mucha publications per year

The chart shows the history of publications by Peter J. Mucha between 1986 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter J. Mucha published across 41 years, from 1986 to 2026, averaging 6.1 papers a year. Output peaked at 28 publications in 2022. 15 of the 250 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1986 to 2026. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2022. 1986: 1 publication 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 1 publication 2000: 0 publications 2001: 1 publication 2002: 2 publications 2003: 2 publications 2004: 5 publications 2005: 7 publications 2006: 2 publications 2007: 8 publications 2008: 6 publications 2009: 7 publications 2010: 9 publications 2011: 5 publications 2012: 12 publications 2013: 12 publications 2014: 13 publications 2015: 7 publications 2016: 9 publications 2017: 14 publications 2018: 11 publications 2019: 15 publications 2020: 8 publications 2021: 21 publications 2022: 28 publications 2023: 11 publications 2024: 17 publications 2025: 14 publications 2026: 1 publication
1986 2026

250 publications in total across all disciplines

View publications per year as a table
Peter J. Mucha: publications per year, 1986 to 2026
Year Publications
1986 1
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 1
1999 1
2000 0
2001 1
2002 2
2003 2
2004 5
2005 7
2006 2
2007 8
2008 6
2009 7
2010 9
2011 5
2012 12
2013 12
2014 13
2015 7
2016 9
2017 14
2018 11
2019 15
2020 8
2021 21
2022 28
2023 11
2024 17
2025 14
2026 1
Total 250
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Peter J. Mucha publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Peter J. Mucha sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 158–167 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415 158
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Peter J. Mucha D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Peter J. Mucha sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 53 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221 53
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

Peter J. Mucha is affiliated with Dartmouth College in the United States and has a research profile spanning multiple interdisciplinary fields. Their primary area of study lies within Physics and Astronomy, with a strong focus on Statistical and Nonlinear Physics. This expertise intersects with several subfields including Cognitive Neuroscience, Molecular Biology, Experimental and Cognitive Psychology, and Artificial Intelligence.

The scientist's research incorporates complex approaches and themes, notably in areas such as Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, and Mental Health Research Topics. Other major topics include Functional Brain Connectivity Studies, Neural Dynamics and Brain Function, Bioinformatics and Genomic Networks, and Advanced Graph Neural Networks.

Peter J. Mucha has contributed to numerous scientific papers published in a variety of venues. These frequent publication venues include UNC Libraries, arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, and Multiscale Modeling and Simulation.

Noteworthy recent papers authored or co-authored by Mucha include:

  • The emergence of a functionally flexible brain during early infancy, 2020, Proceedings of the National Academy of Sciences
  • E. coli catheter-associated urinary tract infections are associated with distinctive virulence and biofilm gene determinants, 2022, JCI Insight
  • A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle- and old-aged adults, 2022, Proceedings of the National Academy of Sciences
  • Accrual of functional redundancy along the lifespan and its effects on cognition, 2021, NeuroImage
  • Altered neural flexibility in children with attention-deficit/hyperactivity disorder, 2022, Molecular Psychiatry

Collaborations are a significant aspect of Mucha's work, with frequent co-authors including Mason A. Porter, Emily B. Falk, Kevin N. Ochsner, David M. Lydon-Staley, and Yoona Kang.

Best Publications

  • Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

    Peter J. Mucha;Thomas Richardson;Thomas Richardson;Kevin Macon;Mason A. Porter

  • Dynamic reconfiguration of human brain networks during learning.

    Danielle S. Bassett;Nicholas F. Wymbs;Mason A. Porter;Peter J. Mucha

  • Communities in networks

    Mason A. Porter;Jukka Pekka Onnela;Jukka Pekka Onnela;Jukka Pekka Onnela;Peter J. Mucha

  • Social structure of Facebook networks

    Amanda L. Traud;Amanda L. Traud;Peter J. Mucha;Mason A. Porter

  • Robust detection of dynamic community structure in networks.

    Danielle S. Bassett;Mason A. Porter;Nicholas F. Wymbs;Scott T. Grafton

  • Comparing Community Structure to Characteristics in Online Collegiate Social Networks

    Amanda L. Traud;Eric D. Kelsic;Peter J. Mucha;Mason A. Porter

  • Core-periphery structure in networks

    M. Puck Rombach;M. Puck Rombach;Mason A. Porter;James H. Fowler;Peter J. Mucha

  • Task-based core-periphery organization of human brain dynamics.

    Danielle S. Bassett;Nicholas F. Wymbs;M. Puck Rombach;Mason A. Porter

  • Rigid fluid: animating the interplay between rigid bodies and fluid

    Mark Carlson;Peter J. Mucha;Greg Turk

  • Particle-based simulation of granular materials

    Nathan Bell;Yizhou Yu;Peter J. Mucha

  • Differential recruitment of the sensorimotor putamen and frontoparietal cortex during motor chunking in humans

    Nicholas F. Wymbs;Danielle S. Bassett;Peter J. Mucha;Mason A. Porter

  • A network analysis of committees in the U.S. House of Representatives

    Mason A. Porter;Peter J. Mucha;M. E. J. Newman;Casey M. Warmbrand

  • Core-Periphery Structure in Networks (Revisited)

    M. Puck Rombach;Mason A. Porter;Mason A. Porter;James H. Fowler;Peter J. Mucha

  • Functional classification of long non-coding RNAs by k-mer content.

    Jessime M Kirk;Susan O Kim;Susan O Kim;Kaoru Inoue;Kaoru Inoue;Matthew J Smola;Matthew J Smola

  • Community structure in Congressional cosponsorship networks

    Yan Zhang;A.J. Friend;Amanda L. Traud;Mason A. Porter

  • Melting and flowing

    Mark Carlson;Peter J. Mucha;R. Brooks Van Horn;Greg Turk

  • EIGENVECTOR-BASED CENTRALITY MEASURES FOR TEMPORAL NETWORKS.

    Dane Taylor;Sean A. Myers;Aaron Clauset;Mason A. Porter

  • Water drops on surfaces

    Huamin Wang;Peter J. Mucha;Greg Turk

  • A model for velocity fluctuations in sedimentation

    Peter J. Mucha;Shang You Tee;David A. Weitz;Boris I. Shraiman

  • Topological data analysis of contagion maps for examining spreading processes on networks

    Dane Taylor;Florian Klimm;Heather A. Harrington;Miroslav Kramár

  • Community structure in the United States House of Representatives

    Mason A. Porter;Peter J. Mucha;M. E. J. Newman;A. J. Friend

  • Core-Periphery Structure in Networks

    Michaela Puck Rombach;Mason Alexander Porter;James H. Fowler;Peter J. Mucha;Peter J. Mucha

Frequent Co-Authors

Mason A. Porter
Mason A. Porter University of California, Los Angeles
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Jukka-Pekka Onnela
Jukka-Pekka Onnela Harvard University
Scott T. Grafton
Scott T. Grafton University of California, Santa Barbara
James H. Fowler
James H. Fowler University of California, San Diego
Greg Turk
Greg Turk Georgia Institute of Technology
Marc Niethammer
Marc Niethammer University of North Carolina at Chapel Hill
Mark Newman
Mark Newman University of Michigan–Ann Arbor
Michael P. Brenner
Michael P. Brenner University of Michigan–Ann Arbor
David A. Weitz
David A. Weitz Harvard University

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