M. E. J. Newman

134.5k citations
175 papers · 82.1k indexed · 36 hit papers · h-index 81

Impact in

Papers in

M. E. J. Newman

173 papers receiving 77.9k citations

Hit Papers

Networks 2018 · 1.4k citations
1.4k19992026200820172.5k5.0k7.5k

Peers

M. E. J. Newman
Comparison fields: 5 of 245
  • Statistical and Nonlinear Physics 48.6k
  • Modeling and Simulation 2.6k
  • Computer Networks and Communications 10.8k
  • Transportation 3.1k
  • Artificial Intelligence 13.4k
Replace Albert-Ĺaszló Barabási with:
Albert-Ĺaszló Barabási United States
Duncan J. Watts United States
Réka Albert United States
H. Eugene Stanley United States
Steven H. Strogatz United States
Shlomo Havlin Israel
Alessandro Vespignani United States
Jure Leskovec United States
Jon Kleinberg United States
Vito Latora Italy
M. E. J. Newman relative to Albert-Ĺaszló Barabási United States Albert-Ĺaszló Barabási's profile →
Citations per field
00.5×1.5×
Albert-Ĺaszló Barabási · 1×
Citations per year

Countries citing papers authored by M. E. J. Newman

Since Specialization
Citations

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

Fields of papers citing papers by M. E. J. Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. J. Newman. 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 M. E. J. Newman. The network helps show where M. E. J. Newman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Robust Bayesian inference of network structure from unreliable data
20202
2
Network reconstruction and error estimation with noisy network data.
20184
3
Measurement errors in network data.
20174
4 201749
5 201544
6
Stochastic blockmodels and community structure in networks
Hit paper breakdown →
20111105
7 2011164
8 2008223
9 2004417
10 2004386
11
Uniform generation of random graphs with arbitrary degree sequences
200324
12 2003324
13
Why social networks are different from other types of networks
Hit paper breakdown →
2003880
14
Mixing patterns in networks: Empirical results and models
20023
15
Email networks and the spread of computer viruses
Hit paper breakdown →
2002526
16 20005
17
Models of the Small World
Hit paper breakdown →
2000478
18
Renormalization group analysis of the small-world network model
Hit paper breakdown →
19991028
19 199933
20
The Theory of Critical Phenomena: An Introduction to the Renormalization Group
1992338

About M. E. J. Newman

M. E. J. Newman is a scholar working on Statistical and Nonlinear Physics, Medical Terminology, Condensed Matter Physics, Geometry and Topology and Mathematical Physics, having authored 175 papers that have together received 82.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (118 papers), Opinion Dynamics and Social Influence (76 papers), Theoretical and Computational Physics (24 papers), Bioinformatics and Genomic Networks (20 papers), Graph theory and applications (16 papers), Stochastic processes and statistical mechanics (14 papers), Evolutionary Game Theory and Cooperation (13 papers) and Complex Systems and Time Series Analysis (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (48.6k citations), Modeling and Simulation (2.6k citations), Computer Networks and Communications (10.8k citations), Transportation (3.1k citations) and Artificial Intelligence (13.4k citations). M. E. J. Newman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michelle Girvan, Aaron Clauset, Duncan J. Watts, Cristopher Moore, Steven H. Strogatz, Brian Karrer, G. T. Barkema, Juyong Park, E. A. Leicht and Cosma Rohilla Shalizi. Their work appears in journals such as Physical review. E, Physical Review Letters, Proceedings of the National Academy of Sciences, Proceedings of the Royal Society B Biological Sciences and Physical review. B, Condensed matter.

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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