Daniel M. Romero

56 papers and 1.8k indexed citations i.

About

Daniel M. Romero is a scholar working on Sociology and Political Science, Communication and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel M. Romero has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 21 papers in Communication and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel M. Romero’s work include Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (15 papers) and Social Media and Politics (13 papers). Daniel M. Romero is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Opinion Dynamics and Social Influence (15 papers) and Social Media and Politics (13 papers). Daniel M. Romero collaborates with scholars based in United States, Austria and Switzerland. Daniel M. Romero's co-authors include Bernardo A. Huberman, Fang Wu, Jon Kleinberg, Sitaram Asur, Wojciech Galuba, Brian Uzzi, danah boyd, Sarita Yardi, Grant Schoenebeck and Satyam Mukherjee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Daniel M. Romero i

Fields of papers citing papers by Daniel M. Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Romero. 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 Daniel M. Romero. The network helps show where Daniel M. Romero may publish in the future.

Countries citing papers authored by Daniel M. Romero

Since Specialization
Citations

This map shows the geographic impact of Daniel M. Romero'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 Daniel M. Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Romero more than expected).

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.

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