Mark Roman Miller

44 total papers · 1.1k total citations
22 papers, 666 citations indexed

About

Mark Roman Miller is a scholar working on Human-Computer Interaction, Social Psychology and Literature and Literary Theory. According to data from OpenAlex, Mark Roman Miller has authored 22 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Human-Computer Interaction, 6 papers in Social Psychology and 6 papers in Literature and Literary Theory. Recurrent topics in Mark Roman Miller's work include Virtual Reality Applications and Impacts (16 papers), Media Influence and Health (6 papers) and Interactive and Immersive Displays (3 papers). Mark Roman Miller is often cited by papers focused on Virtual Reality Applications and Impacts (16 papers), Media Influence and Health (6 papers) and Interactive and Immersive Displays (3 papers). Mark Roman Miller collaborates with scholars based in United States and Germany. Mark Roman Miller's co-authors include Jeremy N. Bailenson, Hanseul Jun, Fernanda Herrera, Alex Olwal, Heather Culbertson, Inrak Choi, Sean Follmer, James A. Landay, Greg Welch and Eugy Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mark Roman Miller

19 papers receiving 644 citations

Hit Papers

People, places, and time:... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Mark Roman Miller 407 190 163 153 106 22 666
Aske Mottelson 481 1.2× 156 0.8× 156 1.0× 112 0.7× 43 0.4× 23 691
Timothy Merritt 420 1.0× 192 1.0× 130 0.8× 104 0.7× 145 1.4× 46 762
G. Drew Kessler 504 1.2× 246 1.3× 198 1.2× 67 0.4× 87 0.8× 25 757
Kritina Holden 232 0.6× 128 0.7× 60 0.4× 176 1.2× 71 0.7× 30 728
Sophie Kenny 441 1.1× 199 1.0× 109 0.7× 157 1.0× 27 0.3× 12 785
Olivier Christmann 464 1.1× 140 0.7× 132 0.8× 193 1.3× 40 0.4× 37 650
Chris Creed 283 0.7× 211 1.1× 114 0.7× 150 1.0× 48 0.5× 41 650
Petra Sundström 500 1.2× 102 0.5× 60 0.4× 144 0.9× 96 0.9× 28 635
Ye Pan 603 1.5× 175 0.9× 270 1.7× 234 1.5× 58 0.5× 21 749
Henning Pohl 494 1.2× 261 1.4× 157 1.0× 79 0.5× 48 0.5× 39 758

Countries citing papers authored by Mark Roman Miller

Since Specialization
Citations

This map shows the geographic impact of Mark Roman 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 Roman 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 Roman Miller more than expected).

Fields of papers citing papers by Mark Roman Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Roman Miller

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