Paolo Mancini

176 total papers · 8.9k total citations
79 papers, 5.3k citations indexed

About

Paolo Mancini is a scholar working on Sociology and Political Science, Communication and Organic Chemistry. According to data from OpenAlex, Paolo Mancini has authored 79 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 18 papers in Communication and 16 papers in Organic Chemistry. Recurrent topics in Paolo Mancini's work include Media Studies and Communication (16 papers), Italian Fascism and Post-war Society (13 papers) and Social Media and Politics (13 papers). Paolo Mancini is often cited by papers focused on Media Studies and Communication (16 papers), Italian Fascism and Post-war Society (13 papers) and Social Media and Politics (13 papers). Paolo Mancini collaborates with scholars based in Italy, Argentina and United States. Paolo Mancini's co-authors include Daniel C. Hallin, David C. Swanson, L. R. Vottero, David L. Swanson, Claudia G. Adam, Annalisa Romani, Claudia Mellado, F. F. Vincieri, Alessio Cornia and Andrea Masini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Journal of Communication.

In The Last Decade

Paolo Mancini

67 papers receiving 4.7k citations

Hit Papers

Comparing Media Systems 1996 2026 2006 2016 2004 1996 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paolo Mancini 3.9k 2.2k 1.2k 669 293 79 5.3k
Vincent Price 2.0k 0.5× 1.9k 0.9× 917 0.7× 125 0.2× 231 0.8× 62 4.1k
John Thompson 736 0.2× 2.1k 0.9× 807 0.7× 175 0.3× 355 1.2× 81 5.7k
Robert D. Brown 154 0.0× 605 0.3× 631 0.5× 79 0.1× 285 1.0× 137 5.4k
Ulrich Wagner 602 0.2× 5.1k 2.3× 753 0.6× 461 0.7× 1.0k 3.6× 137 7.8k
Herbert H. Hyman 254 0.1× 1.6k 0.7× 561 0.5× 71 0.1× 260 0.9× 109 3.6k
James E. Oliver 501 0.1× 2.1k 0.9× 1.2k 1.0× 84 0.1× 192 0.7× 133 5.1k
John L. Sullivan 567 0.1× 1.3k 0.6× 979 0.8× 150 0.2× 191 0.7× 70 2.8k
David E. Campbell 598 0.2× 2.4k 1.1× 1.3k 1.1× 109 0.2× 855 2.9× 125 5.8k
Matthew Baum 2.6k 0.7× 4.6k 2.1× 1.9k 1.5× 378 0.6× 319 1.1× 92 7.2k
R. Michael Alvarez 1.1k 0.3× 2.3k 1.0× 3.9k 3.1× 603 0.9× 667 2.3× 180 5.7k

Countries citing papers authored by Paolo Mancini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Mancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paolo Mancini. 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 Paolo Mancini. The network helps show where Paolo Mancini may publish in the future.

Co-authorship network of co-authors of Paolo Mancini

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Mancini. A scholar is included among the top collaborators of Paolo Mancini 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 Paolo Mancini. Paolo Mancini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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