Michael Conover
Impact in
- Communication top 1%
- Social Media and Politics
- Media Studies and Communication
-
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in ⓘ
-
- Social Media and Politics 4
-
- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 4
- Co-authors
- Filippo Menczer (6 shared papers)Alessandro Flammini (5 shared papers)A. Ratkiewicz (3 shared papers)Bruno Gonçalves (3 shared papers)Emilio Ferrara (2 shared papers)Matthew Francisco (1 shared paper)Clayton A. Davis (1 shared paper)Karissa McKelvey (1 shared paper)
- Journals
- PLoS ONE (2 papers)Communications of the ACM (1 paper)BMC Bioinformatics (1 paper)RepositóriUM (Universidade do Minho) (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (2 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Michael Conover
11 papers receiving 847 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Communication 437
- Statistical and Nonlinear Physics 378
- Artificial Intelligence 304
- Sociology and Political Science 411
- Information Systems 140
Countries citing papers authored by Michael Conover
This map shows the geographic impact of Michael Conover'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 Conover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Conover more than expected).
Fields of papers citing papers by Michael Conover
This network shows the impact of papers produced by Michael Conover. 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 Conover. The network helps show where Michael Conover may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Conover, 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 | 2011 | 355 | |
| 2 | Political Polarization on Twitter Hit paper breakdown → | 2021 | 221 |
| 3 | 2013 | 120 | |
| 4 | 2013 | 89 | |
| 5 | 2021 | 88 | |
| 6 | 2008 | 9 | |
| 7 | 2009 | 9 | |
| 8 | 2011 | 6 | |
| 9 | Testing extensive use of NER tools in article classification and a statistical approach for method interaction extraction in the protein-protein interaction literature | 2010 | 3 |
| 10 | 2012 | 2 | |
| 11 | 2018 | 1 |
About Michael Conover
Michael Conover is a scholar working on Communication, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 11 papers that have together received 903 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Social Media and Politics (4 papers), Opinion Dynamics and Social Influence (4 papers), Advanced Text Analysis Techniques (2 papers), Topic Modeling (2 papers), Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Communication (437 citations), Statistical and Nonlinear Physics (378 citations), Artificial Intelligence (304 citations), Sociology and Political Science (411 citations) and Information Systems (140 citations). Michael Conover has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Filippo Menczer, Alessandro Flammini, A. Ratkiewicz, Bruno Gonçalves, Emilio Ferrara, Matthew Francisco, Clayton A. Davis, Karissa McKelvey, Mark Meiss and Greg Linden. Their work appears in journals such as PLoS ONE, Communications of the ACM, BMC Bioinformatics, RepositóriUM (Universidade do Minho) 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.