Jamie Zigelbaum

17 total papers · 1.6k total citations
16 papers, 1.1k citations indexed

About

Jamie Zigelbaum is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jamie Zigelbaum has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Human-Computer Interaction, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Jamie Zigelbaum's work include Interactive and Immersive Displays (14 papers), Innovative Human-Technology Interaction (6 papers) and Augmented Reality Applications (6 papers). Jamie Zigelbaum is often cited by papers focused on Interactive and Immersive Displays (14 papers), Innovative Human-Technology Interaction (6 papers) and Augmented Reality Applications (6 papers). Jamie Zigelbaum collaborates with scholars based in United States, Denmark and Canada. Jamie Zigelbaum's co-authors include Orit Shaer, Erin Solovey, Robert J. K. Jacob, Michael Horn, Marcelo Coelho, Audrey Girouard, Leanne Hirshfield, Hiroshi Ishii, Angela Chang and Amon Millner and has published in prestigious journals such as Personal and Ubiquitous Computing and interactions.

In The Last Decade

Jamie Zigelbaum

16 papers receiving 1.0k citations

Hit Papers

Reality-based interaction 2008 2026 2014 2020 2008 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jamie Zigelbaum 878 406 383 121 94 16 1.1k
Anna Maria Feit 773 0.9× 382 0.9× 382 1.0× 67 0.6× 86 0.9× 25 1.0k
Michel Pahud 782 0.9× 399 1.0× 453 1.2× 93 0.8× 64 0.7× 40 1.0k
Sven Kratz 872 1.0× 373 0.9× 502 1.3× 67 0.6× 60 0.6× 54 1.1k
Misha Sra 622 0.7× 310 0.8× 297 0.8× 103 0.9× 111 1.2× 68 1.1k
Fraser Anderson 895 1.0× 641 1.6× 377 1.0× 132 1.1× 82 0.9× 48 1.5k
Leonardo Bonanni 630 0.7× 223 0.5× 270 0.7× 130 1.1× 90 1.0× 29 912
Myron W. Krueger 692 0.8× 389 1.0× 290 0.8× 76 0.6× 34 0.4× 21 1.1k
William Steptoe 821 0.9× 363 0.9× 271 0.7× 75 0.6× 284 3.0× 24 1.0k
Adalberto L. Simeone 787 0.9× 458 1.1× 288 0.8× 94 0.8× 99 1.1× 73 1.1k
Alan B. Craig 579 0.7× 439 1.1× 134 0.3× 63 0.5× 96 1.0× 28 1.1k

Countries citing papers authored by Jamie Zigelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Zigelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Zigelbaum

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