Mark S. Miller

69 total papers · 1.5k total citations
35 papers, 701 citations indexed

About

Mark S. Miller is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mark S. Miller has authored 35 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Mark S. Miller's work include Security and Verification in Computing (10 papers), Distributed systems and fault tolerance (9 papers) and Logic, programming, and type systems (9 papers). Mark S. Miller is often cited by papers focused on Security and Verification in Computing (10 papers), Distributed systems and fault tolerance (9 papers) and Logic, programming, and type systems (9 papers). Mark S. Miller collaborates with scholars based in United States, Belgium and New Zealand. Mark S. Miller's co-authors include Jonathan Shapiro, Nancy A. Neef, Tom Van Cutsem, Daniel G. Bobrow, Ken Kahn, Úlfar Erlingsson, Jasvir Nagra, Ankur Taly, John C. Mitchell and Alan H. Karp and has published in prestigious journals such as Communications of the ACM, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Applied Behavior Analysis.

In The Last Decade

Mark S. Miller

33 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
Mark S. Miller	376	223	221	170	123	35	701
Benjamin Tan	338 0.9×	84 0.4×	240 1.1×	125 0.7×	47 0.4×	60	829
Barbara Lerner	259 0.7×	209 0.9×	330 1.5×	28 0.2×	38 0.3×	62	787
Paul Calder	169 0.4×	118 0.5×	186 0.8×	26 0.2×	22 0.2×	38	681
Patricia M. Hill	391 1.0×	79 0.4×	47 0.2×	25 0.1×	91 0.7×	39	800
Marc Eisenstadt	333 0.9×	124 0.6×	259 1.2×	19 0.1×	131 1.1×	55	836
Michał Moskal	219 0.6×	119 0.5×	222 1.0×	65 0.4×	58 0.5×	46	666
Eric Anderson	77 0.2×	627 2.8×	316 1.4×	34 0.2×	35 0.3×	43	857
David Wolber	200 0.5×	260 1.2×	250 1.1×	144 0.8×	120 1.0×	25	781
Denise L. Draper	384 1.0×	198 0.9×	119 0.5×	57 0.3×	15 0.1×	11	718
Bay-Wei Chang	241 0.6×	94 0.4×	294 1.3×	36 0.2×	46 0.4×	19	716

Countries citing papers authored by Mark S. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Mark S. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Miller. 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 Mark S. Miller. The network helps show where Mark S. Miller may publish in the future.

Co-authorship network of co-authors of Mark S. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Miller. A scholar is included among the top collaborators of Mark S. Miller 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 Mark S. Miller. Mark S. Miller 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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