Julia Cambre

15 total papers · 514 total citations
13 papers, 347 citations indexed

About

Julia Cambre is a scholar working on Artificial Intelligence, Social Psychology and Education. According to data from OpenAlex, Julia Cambre has authored 13 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Social Psychology and 3 papers in Education. Recurrent topics in Julia Cambre's work include AI in Service Interactions (7 papers), Speech and dialogue systems (6 papers) and Social Robot Interaction and HRI (5 papers). Julia Cambre is often cited by papers focused on AI in Service Interactions (7 papers), Speech and dialogue systems (6 papers) and Social Robot Interaction and HRI (5 papers). Julia Cambre collaborates with scholars based in United States and Canada. Julia Cambre's co-authors include Chinmay Kulkarni, Scott Klemmer, Michael S. Bernstein, Jofish Kaye, Janice Tsai, Jessica Colnago, Samantha Reig, Afsaneh Razi, R. E. Taylor and Ying Liu and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Julia Cambre

12 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Julia Cambre 170 88 83 64 62 13 347
Astrid Carolus 150 0.9× 93 1.1× 86 1.0× 39 0.6× 35 0.6× 26 378
Gwo Dong Chen 135 0.8× 107 1.2× 104 1.3× 116 1.8× 21 0.3× 20 388
Sherry Ruan 217 1.3× 96 1.1× 34 0.4× 40 0.6× 52 0.8× 11 338
Meghann Fior 77 0.5× 73 0.8× 127 1.5× 120 1.9× 26 0.4× 6 330
Jay Elkerton 80 0.5× 72 0.8× 44 0.5× 39 0.6× 119 1.9× 23 386
Jihee Kim 102 0.6× 149 1.7× 16 0.2× 75 1.2× 37 0.6× 22 331
Tony Bergstrom 68 0.4× 25 0.3× 61 0.7× 28 0.4× 75 1.2× 15 313
Martin Muehlenbrock 98 0.6× 144 1.6× 41 0.5× 115 1.8× 36 0.6× 6 374
Carol Forsyth 143 0.8× 97 1.1× 46 0.6× 102 1.6× 14 0.2× 21 380
Junko Kanero 102 0.6× 24 0.3× 136 1.6× 114 1.8× 17 0.3× 19 395

Countries citing papers authored by Julia Cambre

Since Specialization
Citations

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

Fields of papers citing papers by Julia Cambre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Cambre

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