Anna Chmiel
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Communication top 5%
- Social Media and Politics
Papers in
-
- Complex Network Analysis Techniques 18
- Opinion Dynamics and Social Influence 17
-
- Theoretical and Computational Physics 5
- Co-authors
- Janusz A. Hołyst (12 shared papers)Julian Sienkiewicz (11 shared papers)Kevan A Buckley (3 shared papers)George Paltoglou (3 shared papers)Mike A Thelwall (3 shared papers)Katarzyna Sznajd-Weron (4 shared papers)Arvid Kappas (3 shared papers)Paweł Sobkowicz (2 shared papers)
- Journals
- Physical review. E (5 papers)International Journal of Modern Physics C (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)New economic windows (1 paper)Chaos Solitons & Fractals (1 paper)
- Partner nations
- PolandUnited KingdomGermany
In The Last Decade
Anna Chmiel
22 papers receiving 616 citations
Peers
Comparison fields: 5 of 122
- Statistical and Nonlinear Physics 318
- Communication 87
- Sociology and Political Science 180
- Condensed Matter Physics 45
- Human-Computer Interaction 21
Countries citing papers authored by Anna Chmiel
This map shows the geographic impact of Anna Chmiel'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 Anna Chmiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Chmiel more than expected).
Fields of papers citing papers by Anna Chmiel
This network shows the impact of papers produced by Anna Chmiel. 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 Anna Chmiel. The network helps show where Anna Chmiel may publish in the future.
Co-authors
The 22 scholars most cited alongside Anna Chmiel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 181 | |
| 2 | 2011 | 133 | |
| 3 | 2015 | 61 | |
| 4 | 2018 | 55 | |
| 5 | 2015 | 49 | |
| 6 | 2009 | 38 | |
| 7 | 2007 | 20 | |
| 8 | 2015 | 20 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2010 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2016 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2007 | 2 |
About Anna Chmiel
Anna Chmiel is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Experimental and Cognitive Psychology, Economics and Econometrics and Cognitive Neuroscience, having authored 24 papers that have together received 642 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (17 papers), Theoretical and Computational Physics (5 papers), Complex Systems and Time Series Analysis (4 papers), Misinformation and Its Impacts (3 papers), Mental Health Research Topics (3 papers), Neural dynamics and brain function (2 papers) and Social Media and Politics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (318 citations), Communication (87 citations), Sociology and Political Science (180 citations), Condensed Matter Physics (45 citations) and Human-Computer Interaction (21 citations). Anna Chmiel has collaborated with scholars based in Poland, United Kingdom and Germany. Frequent co-authors include Janusz A. Hołyst, Julian Sienkiewicz, Kevan A Buckley, George Paltoglou, Mike A Thelwall, Katarzyna Sznajd-Weron, Arvid Kappas, Paweł Sobkowicz, Piotr Bródka and Giancarlo Ragozini. Their work appears in journals such as Physical review. E, International Journal of Modern Physics C, Physica A Statistical Mechanics and its Applications, New economic windows and Chaos Solitons & Fractals.
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.