Benjamin Markines
-
- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 3
- Information Systems top 2%
- Recommender Systems and Techniques 7
- Information Retrieval and Search Behavior 1
- Spam and Phishing Detection 1
- Communication top 5%
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 4
- Topic Modeling 3
-
- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Filippo MenczerCiro CattutoRossano SchifanellaAlain BarratAlessandro VespignaniSanto FortunatoFilippo RadicchiLuca Maria Aiello
- Cited by
- Statistical and Nonlinear PhysicsInformation SystemsStatistics, Probability and Uncertainty
- Journals
- ACM Transactions on the Web (1 paper)Physical Review E (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Benjamin Markines
12 papers receiving 854 citations
Peers
Comparison fields: 5 of 77
- Statistical and Nonlinear Physics 484
- Information Systems 386
- Statistics, Probability and Uncertainty 84
- Communication 79
- Artificial Intelligence 365
Countries citing papers authored by Benjamin Markines
This map shows the geographic impact of Benjamin Markines'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 Benjamin Markines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Markines more than expected).
Fields of papers citing papers by Benjamin Markines
This network shows the impact of papers produced by Benjamin Markines. 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 Benjamin Markines. The network helps show where Benjamin Markines may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Benjamin Markines, 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 | 2012 | 278 | |
| 2 | 2010 | 95 | |
| 3 | 2009 | 214 | |
| 4 | 2009 | 1 | |
| 5 | Socially induced semantic networks and applications | 2009 | 2 |
| 6 | 2009 | 113 | |
| 7 | 2009 | 4 | |
| 8 | 2009 | 166 | |
| 9 | 2009 | 15 | |
| 10 | 2009 | 5 | |
| 11 | 2008 | 9 | |
| 12 | 2008 | 11 |
About Benjamin Markines
Benjamin Markines is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications, Information Systems, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 913 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Complex Network Analysis Techniques (7 papers), Advanced Graph Neural Networks (4 papers), Topic Modeling (3 papers), Opinion Dynamics and Social Influence (3 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Information Retrieval and Search Behavior (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (484 citations), Information Systems (386 citations), Statistics, Probability and Uncertainty (84 citations), Communication (79 citations) and Artificial Intelligence (365 citations). Benjamin Markines has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Filippo Menczer, Ciro Cattuto, Rossano Schifanella, Alain Barrat, Alessandro Vespignani, Santo Fortunato, Filippo Radicchi, Luca Maria Aiello, Gerd Stumme and Dominik C. Benz. Their work appears in journals such as ACM Transactions on the Web, Physical Review E, arXiv (Cornell University) and ACM SIGWEB Newsletter.
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.