Michael J. Brzozowski
- Communication top 2%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Information Systems and Management top 5%
- Information Systems top 10%
- Co-authors
- Tad HoggThomas SandholmGábor SzabóSarita YardiScott A. GolderDennis M. WilkinsonDaniel M. RomeroPhil Adams
- Topics
- Social Media and Politics (4 papers)Complex Network Analysis Techniques (4 papers)Opinion Dynamics and Social Influence (3 papers)
- Journals
- DSpace@MIT (Massachusetts Institute of Technology)National Conference on Artificial IntelligenceProceedings of the International AAAI Conference on Web and Social Media
- Partner nations
- United StatesFrance
In The Last Decade
Michael J. Brzozowski
7 papers receiving 366 citations
Peers
Comparison fields: 5 of 46
- Communication 247
- Sociology and Political Science 207
- Statistical and Nonlinear Physics 106
- Information Systems and Management 89
- Information Systems 69
Countries citing papers authored by Michael J. Brzozowski
This map shows the geographic impact of Michael J. Brzozowski'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 Michael J. Brzozowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Brzozowski more than expected).
Fields of papers citing papers by Michael J. Brzozowski
This network shows the impact of papers produced by Michael J. Brzozowski. 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 Michael J. Brzozowski. The network helps show where Michael J. Brzozowski may publish in the future.
Co-authorship network of co-authors of Michael J. Brzozowski
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Brzozowski. A scholar is included among the top collaborators of Michael J. Brzozowski 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 Michael J. Brzozowski. Michael J. Brzozowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 116 | |
| 4 | 102 | |
| 5 | 76 | |
| 6 | Multiple Relationship Types in Online Communities and Social Networks. | 34 |
| 7 | 66 |
About Michael J. Brzozowski
Michael J. Brzozowski is a scholar working on Communication, Statistical and Nonlinear Physics and Computer Science Applications, having authored 7 papers that have together received 399 indexed citations. Recurring topics across this work include Social Media and Politics (4 papers), Complex Network Analysis Techniques (4 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Communication (247 citations), Information Systems and Management (89 citations) and Computer Science Applications (52 citations). Michael J. Brzozowski has collaborated with scholars based in United States and France. Frequent co-authors include Tad Hogg, Thomas Sandholm, Gábor Szabó, Sarita Yardi, Scott A. Golder, Dennis M. Wilkinson, Daniel M. Romero, Phil Adams and Ed H.. Their work appears in journals such as DSpace@MIT (Massachusetts Institute of Technology), National Conference on Artificial Intelligence and Proceedings of the International AAAI Conference on Web and Social Media.
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.