Marc Miller

8 total papers · 993 total citations
3 papers, 705 citations indexed

About

Marc Miller is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Infectious Diseases. According to data from OpenAlex, Marc Miller has authored 3 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Electrical and Electronic Engineering and 0 papers in Infectious Diseases. Recurrent topics in Marc Miller's work include Software-Defined Networks and 5G (1 paper), Advanced Memory and Neural Computing (1 paper) and Interconnection Networks and Systems (1 paper). Marc Miller is often cited by papers focused on Software-Defined Networks and 5G (1 paper), Advanced Memory and Neural Computing (1 paper) and Interconnection Networks and Systems (1 paper). Marc Miller collaborates with scholars based in China, United States and United Kingdom. Marc Miller's co-authors include Sakir Sezer, Sandra Scott-Hayward, Pushpinder Kaur Chouhan, N. Srihari Rao, David Lake and Barbara Fraser and has published in prestigious journals such as IEEE Communications Magazine.

In The Last Decade

Marc Miller

2 papers receiving 663 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Marc Miller 660 263 97 68 45 3 705
N. Srihari Rao 662 1.0× 263 1.0× 105 1.1× 79 1.2× 48 1.1× 9 735
David Lake 747 1.1× 288 1.1× 106 1.1× 92 1.4× 57 1.3× 8 817
Pushpinder Kaur Chouhan 706 1.1× 270 1.0× 124 1.3× 94 1.4× 66 1.5× 13 780
Jan Medved 713 1.1× 199 0.8× 119 1.2× 92 1.4× 30 0.7× 15 756
Thiemo Voigt 694 1.1× 284 1.1× 38 0.4× 32 0.5× 26 0.6× 7 751
Richard W. Butterworth 571 0.9× 343 1.3× 42 0.4× 68 1.0× 19 0.4× 6 872
Rimon Barr 557 0.8× 175 0.7× 166 1.7× 62 0.9× 121 2.7× 10 664
Koide Toshio 823 1.2× 298 1.1× 96 1.0× 142 2.1× 30 0.7× 2 838
Yougu Yuan 760 1.2× 354 1.3× 64 0.7× 63 0.9× 35 0.8× 15 847
Moonjeong Chang 644 1.0× 125 0.5× 117 1.2× 97 1.4× 26 0.6× 14 694

Countries citing papers authored by Marc Miller

Since Specialization
Citations

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

Fields of papers citing papers by Marc Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Miller

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