Gregory Malecha

33 total papers · 634 total citations
23 papers, 295 citations indexed

About

Gregory Malecha is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Gregory Malecha has authored 23 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Gregory Malecha's work include Security and Verification in Computing (14 papers), Logic, programming, and type systems (13 papers) and Formal Methods in Verification (11 papers). Gregory Malecha is often cited by papers focused on Security and Verification in Computing (14 papers), Logic, programming, and type systems (13 papers) and Formal Methods in Verification (11 papers). Gregory Malecha collaborates with scholars based in United States, Sweden and South Korea. Gregory Malecha's co-authors include Ryan Wisnesky, Greg Morrisett, Avraham Shinnar, Adam Chlipala, Benjamin C. Pierce, Chung-Kil Hur, Steve Zdancewic, Natarajan Shankar, Ashish Gehani and Walid Taha and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Security & Privacy and Journal of Automated Reasoning.

In The Last Decade

Gregory Malecha

22 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Gregory Malecha	238	128	84	68	46	23	295
Keith Wansbrough	232 1.0×	110 0.9×	142 1.7×	84 1.2×	63 1.4×	21	322
Sandrine Blazy	276 1.2×	152 1.2×	68 0.8×	91 1.3×	54 1.2×	24	334
John D. Ramsdell	265 1.1×	85 0.7×	107 1.3×	64 0.9×	115 2.5×	20	346
Daniel J. Dougherty	173 0.7×	86 0.7×	132 1.6×	36 0.5×	51 1.1×	34	292
Julien Signoles	188 0.8×	111 0.9×	66 0.8×	76 1.1×	68 1.5×	25	312
Niki Vazou	271 1.1×	150 1.2×	57 0.7×	63 0.9×	87 1.9×	26	333
Moonjoo Kim	175 0.7×	167 1.3×	119 1.4×	81 1.2×	67 1.5×	15	345
Virgile Prévosto	150 0.6×	115 0.9×	48 0.6×	62 0.9×	84 1.8×	19	305
Wolfgang Ahrendt	216 0.9×	132 1.0×	55 0.7×	45 0.7×	78 1.7×	25	313
Yoshihiko Futamura	228 1.0×	115 0.9×	50 0.6×	130 1.9×	81 1.8×	18	320

Countries citing papers authored by Gregory Malecha

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Malecha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Malecha

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