Marcia Riley

22 total papers · 1.2k total citations
18 papers, 867 citations indexed

About

Marcia Riley is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Marcia Riley has authored 18 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Marcia Riley's work include Human Motion and Animation (9 papers), Human Pose and Action Recognition (8 papers) and Robot Manipulation and Learning (7 papers). Marcia Riley is often cited by papers focused on Human Motion and Animation (9 papers), Human Pose and Action Recognition (8 papers) and Robot Manipulation and Learning (7 papers). Marcia Riley collaborates with scholars based in United States, Japan and Slovenia. Marcia Riley's co-authors include Christopher G. Atkeson, Aleš Ude, Nancy S. Pollard, Jessica K. Hodgins, Tomohiro Shibata, Shinya Kotosaka, Frank Pollick, Mitsuo Kawato, Joshua G. Hale and Sethu Vijayakumar and has published in prestigious journals such as Biochemistry, Robotics and Autonomous Systems and Autonomous Robots.

In The Last Decade

Marcia Riley

18 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
Marcia Riley 633 399 319 131 116 18 867
Martin Do 460 0.7× 286 0.7× 262 0.8× 59 0.5× 114 1.0× 24 701
Pablo Jiménez 548 0.9× 235 0.6× 333 1.0× 69 0.5× 136 1.2× 12 957
Ning Wang 571 0.9× 320 0.8× 135 0.4× 180 1.4× 185 1.6× 57 990
Clemens Eppner 704 1.1× 393 1.0× 325 1.0× 103 0.8× 177 1.5× 25 960
Przemyslaw A. Lasota 435 0.7× 151 0.4× 203 0.6× 71 0.5× 151 1.3× 11 933
Berthold Bäuml 598 0.9× 435 1.1× 347 1.1× 134 1.0× 93 0.8× 42 954
Ugo Pattacini 511 0.8× 258 0.6× 248 0.8× 234 1.8× 254 2.2× 45 1.0k
Kai-yuh Hsiao 260 0.4× 188 0.5× 326 1.0× 218 1.7× 161 1.4× 21 830
Guilherme Maeda 665 1.1× 237 0.6× 187 0.6× 53 0.4× 244 2.1× 46 911
Katharina Mülling 524 0.8× 191 0.5× 221 0.7× 69 0.5× 486 4.2× 13 862

Countries citing papers authored by Marcia Riley

Since Specialization
Citations

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

Fields of papers citing papers by Marcia Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcia Riley

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