M. E. J. Newman
Impact in
- Statistical and Nonlinear Physics top 0.01%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 0.05%
Papers in
-
- Complex Network Analysis Techniques 118
- Opinion Dynamics and Social Influence 76
- Co-authors
- Michelle GirvanAaron ClausetDuncan J. WattsCristopher MooreSteven H. StrogatzBrian KarrerG. T. BarkemaJuyong Park
- Journals
- Physical review. E (13 papers)Physical Review Letters (11 papers)Proceedings of the National Academy of Sciences (10 papers)Proceedings of the Royal Society B Biological Sciences (6 papers)Physical review. B, Condensed matter (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
M. E. J. Newman
173 papers receiving 77.9k citations
Hit Papers
Peers
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
Countries citing papers authored by M. E. J. Newman
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Robust Bayesian inference of network structure from unreliable data | 2020 | 2 |
| 2 | Network reconstruction and error estimation with noisy network data. | 2018 | 4 |
| 3 | Measurement errors in network data. | 2017 | 4 |
| 4 | 2017 | 49 | |
| 5 | 2015 | 44 | |
| 6 | Stochastic blockmodels and community structure in networks Hit paper breakdown → | 2011 | 1105 |
| 7 | 2011 | 164 | |
| 8 | 2008 | 223 | |
| 9 | 2004 | 417 | |
| 10 | 2004 | 386 | |
| 11 | Uniform generation of random graphs with arbitrary degree sequences | 2003 | 24 |
| 12 | 2003 | 324 | |
| 13 | Why social networks are different from other types of networks Hit paper breakdown → | 2003 | 880 |
| 14 | Mixing patterns in networks: Empirical results and models | 2002 | 3 |
| 15 | Email networks and the spread of computer viruses Hit paper breakdown → | 2002 | 526 |
| 16 | 2000 | 5 | |
| 17 | Models of the Small World Hit paper breakdown → | 2000 | 478 |
| 18 | Renormalization group analysis of the small-world network model Hit paper breakdown → | 1999 | 1028 |
| 19 | 1999 | 33 | |
| 20 | The Theory of Critical Phenomena: An Introduction to the Renormalization Group | 1992 | 338 |
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.