Maggie Orth

10 total papers · 1.2k total citations
10 papers, 863 citations indexed

About

Maggie Orth is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Maggie Orth has authored 10 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Human-Computer Interaction, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Maggie Orth's work include Interactive and Immersive Displays (6 papers), Tactile and Sensory Interactions (4 papers) and Music Technology and Sound Studies (3 papers). Maggie Orth is often cited by papers focused on Interactive and Immersive Displays (6 papers), Tactile and Sensory Interactions (4 papers) and Music Technology and Sound Studies (3 papers). Maggie Orth collaborates with scholars based in United States. Maggie Orth's co-authors include E. Rehmi Post, Neil Gershenfeld, Pietro Russo, Hiroshi Ishii, Emily A. Cooper and Peter L. Russo and has published in prestigious journals such as IBM Systems Journal.

In The Last Decade

Maggie Orth

9 papers receiving 788 citations

Author Peers

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

Author Last Decade Papers Cites
Maggie Orth 484 355 228 176 151 10 863
E. Rehmi Post 273 0.6× 366 1.0× 108 0.5× 66 0.4× 208 1.4× 7 705
Nan‐Wei Gong 639 1.3× 237 0.7× 386 1.7× 164 0.9× 108 0.7× 22 928
Yiyue Luo 210 0.4× 554 1.6× 269 1.2× 59 0.3× 161 1.1× 34 861
Artem Dementyev 489 1.0× 323 0.9× 387 1.7× 116 0.7× 169 1.1× 25 921
Clint Zeagler 507 1.0× 113 0.3× 210 0.9× 81 0.5× 40 0.3× 29 774
Zahi Nakad 111 0.2× 287 0.8× 55 0.2× 85 0.5× 443 2.9× 25 822
Lina Castano 68 0.1× 494 1.4× 109 0.5× 65 0.4× 177 1.2× 15 720
Beichen Li 143 0.3× 362 1.0× 162 0.7× 261 1.5× 133 0.9× 20 1.0k
A. Helser 215 0.4× 205 0.6× 92 0.4× 159 0.9× 133 0.9× 14 1.0k
Shan-Yuan Teng 362 0.7× 336 0.9× 439 1.9× 91 0.5× 84 0.6× 29 816

Countries citing papers authored by Maggie Orth

Since Specialization
Citations

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

Fields of papers citing papers by Maggie Orth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maggie Orth

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