Miguel Casado

277 total papers · 1.4k total citations
107 papers, 923 citations indexed

About

Miguel Casado is a scholar working on Epidemiology, Computer Networks and Communications and Communication. According to data from OpenAlex, Miguel Casado has authored 107 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 19 papers in Computer Networks and Communications and 18 papers in Communication. Recurrent topics in Miguel Casado's work include Media and Digital Communication (19 papers), Media, Journalism, and Communication History (15 papers) and Hepatitis C virus research (12 papers). Miguel Casado is often cited by papers focused on Media and Digital Communication (19 papers), Media, Journalism, and Communication History (15 papers) and Hepatitis C virus research (12 papers). Miguel Casado collaborates with scholars based in Spain, United States and United Kingdom. Miguel Casado's co-authors include Itziar Oyagüez, Raquel Domínguez‐Hernández, Olga Sánchez‐Soliño, Jenny Berg, Peter Lindgren, Gisela Kobelt, Juan Turnés, Javier Soto, Carmelo Garitaonandia Garnacho and Juan Oliva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Miguel Casado

91 papers receiving 874 citations

Author Peers

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

Author Last Decade Papers Cites
Miguel Casado 219 179 165 104 96 107 923
Barron H. Lerner 236 1.1× 67 0.4× 20 0.1× 39 0.4× 122 1.3× 57 1.0k
Cristina Romero 161 0.7× 62 0.3× 106 0.6× 52 0.5× 52 0.5× 57 1.1k
Rebecca Stack 66 0.3× 71 0.4× 116 0.7× 44 0.4× 93 1.0× 44 983
Maha Makki 230 1.1× 51 0.3× 25 0.2× 11 0.1× 191 2.0× 67 1.0k
Michael Wang 157 0.7× 42 0.2× 88 0.5× 223 2.1× 37 0.4× 60 1.0k
Julie A. Campbell 83 0.4× 143 0.8× 222 1.3× 5 0.0× 96 1.0× 98 1.2k
Stephen Farrow 71 0.3× 143 0.8× 17 0.1× 25 0.2× 29 0.3× 53 958
Michael C. Bond 101 0.5× 48 0.3× 43 0.3× 8 0.1× 27 0.3× 46 977
Robert Smith 129 0.6× 33 0.2× 30 0.2× 229 2.2× 101 1.1× 63 1.1k
Jin Huang 98 0.4× 48 0.3× 66 0.4× 11 0.1× 42 0.4× 90 1.2k

Countries citing papers authored by Miguel Casado

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Casado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Casado

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Casado. A scholar is included among the top collaborators of Miguel Casado 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 Miguel Casado. Miguel Casado 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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