Madeline Carr

61 total papers · 860 total citations
29 papers, 428 citations indexed

About

Madeline Carr is a scholar working on Information Systems, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Madeline Carr has authored 29 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Political Science and International Relations and 9 papers in Sociology and Political Science. Recurrent topics in Madeline Carr's work include Cybersecurity and Cyber Warfare Studies (11 papers), Privacy, Security, and Data Protection (8 papers) and Information and Cyber Security (7 papers). Madeline Carr is often cited by papers focused on Cybersecurity and Cyber Warfare Studies (11 papers), Privacy, Security, and Data Protection (8 papers) and Information and Cyber Security (7 papers). Madeline Carr collaborates with scholars based in United Kingdom, Saudi Arabia and Russia. Madeline Carr's co-authors include Leonie Maria Tanczer, Irina Brass, Jason J. Blackstock, Omer Rana, Masoud Barati, Rajiv Ranjan, Gagangeet Singh Aujla, Jim Watson, Uchenna Ani and Savvas Papagiannidis and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, International Affairs and Journal of European Public Policy.

In The Last Decade

Madeline Carr

26 papers receiving 396 citations

Author Peers

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

Author Last Decade Papers Cites
Madeline Carr 199 166 121 60 48 29 428
Vasiliki Diamantopoulou 59 0.3× 133 0.8× 83 0.7× 61 1.0× 56 1.2× 28 384
Francesca Musiani 164 0.8× 83 0.5× 179 1.5× 77 1.3× 29 0.6× 64 418
Jeffrey W. Seifert 249 1.3× 80 0.5× 101 0.8× 93 1.6× 12 0.3× 25 491
Aaron Martin 75 0.4× 77 0.5× 196 1.6× 38 0.6× 40 0.8× 26 417
Ira Rubinstein 55 0.3× 87 0.5× 188 1.6× 112 1.9× 25 0.5× 25 367
Jan Nolin 54 0.3× 142 0.9× 128 1.1× 48 0.8× 35 0.7× 42 494
Nadiya Kostyuk 209 1.1× 136 0.8× 176 1.5× 36 0.6× 10 0.2× 13 424
Alex Wilner 124 0.6× 127 0.8× 283 2.3× 26 0.4× 18 0.4× 39 481
Alistair S. Duff 57 0.3× 104 0.6× 122 1.0× 23 0.4× 19 0.4× 39 380
Marta Poblet 74 0.4× 141 0.8× 94 0.8× 111 1.9× 17 0.4× 59 457

Countries citing papers authored by Madeline Carr

Since Specialization
Citations

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

Fields of papers citing papers by Madeline Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeline Carr

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