Ian Molloy

78 total papers · 3.6k total citations
43 papers, 1.7k citations indexed

About

Ian Molloy is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Ian Molloy has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Information Systems and 13 papers in Signal Processing. Recurrent topics in Ian Molloy's work include Advanced Malware Detection Techniques (13 papers), Access Control and Trust (12 papers) and Internet Traffic Analysis and Secure E-voting (10 papers). Ian Molloy is often cited by papers focused on Advanced Malware Detection Techniques (13 papers), Access Control and Trust (12 papers) and Internet Traffic Analysis and Secure E-voting (10 papers). Ian Molloy collaborates with scholars based in United States, China and Switzerland. Ian Molloy's co-authors include Ninghui Li, Tiancheng Li, Rahul Potharaju, Cristina Nita-Rotaru, Chris Gates, Jorge Lobo, Jian Zhang, Heqing Huang, Qihua Wang and Jialong Zhang and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Computers & Geosciences and IBM Journal of Research and Development.

In The Last Decade

Ian Molloy

43 papers receiving 1.6k citations

Hit Papers

Protecting Intellectual P... 2012 2026 2016 2021 2018 2012 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ian Molloy 948 605 541 527 483 43 1.7k
Olivier De Vel 762 0.8× 524 0.9× 89 0.2× 874 1.7× 375 0.8× 44 1.7k
Nick Nikiforakis 1.2k 1.2× 1.1k 1.9× 398 0.7× 1.4k 2.7× 508 1.1× 72 2.0k
John Viega 706 0.7× 511 0.8× 97 0.2× 818 1.6× 373 0.8× 37 1.5k
Michael Goldsmith 606 0.6× 342 0.6× 348 0.6× 970 1.8× 720 1.5× 109 1.7k
Stephen Chong 1.2k 1.3× 616 1.0× 165 0.3× 691 1.3× 528 1.1× 70 1.6k
Mihai Christodorescu 813 0.9× 1.7k 2.8× 145 0.3× 990 1.9× 1.3k 2.8× 38 2.1k
Petar Tsankov 809 0.9× 570 0.9× 78 0.1× 1.0k 1.9× 283 0.6× 26 1.6k
Rob Johnson 948 1.0× 390 0.6× 105 0.2× 333 0.6× 628 1.3× 68 1.4k
Karthikeyan Bhargavan 1.3k 1.3× 363 0.6× 245 0.5× 884 1.7× 1.1k 2.2× 66 1.9k
Adam Bates 729 0.8× 933 1.5× 107 0.2× 871 1.7× 1.1k 2.3× 64 1.8k

Countries citing papers authored by Ian Molloy

Since Specialization
Citations

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

Fields of papers citing papers by Ian Molloy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Molloy

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