Chris Gaskett

15 total papers · 446 total citations
12 papers, 185 citations indexed

About

Chris Gaskett is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chris Gaskett has authored 12 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Chris Gaskett's work include Advanced Vision and Imaging (8 papers), Reinforcement Learning in Robotics (4 papers) and Image Processing Techniques and Applications (3 papers). Chris Gaskett is often cited by papers focused on Advanced Vision and Imaging (8 papers), Reinforcement Learning in Robotics (4 papers) and Image Processing Techniques and Applications (3 papers). Chris Gaskett collaborates with scholars based in Australia, Slovenia and Japan. Chris Gaskett's co-authors include Gordon Cheng, Aleš Ude, Alex Zelinsky, Luke Fletcher, David Wettergreen, Alexander Zelinsky, Will Edwards, Bradley C. Congdon, Pat Brown and Nicola J. Bidwell and has published in prestigious journals such as Ecological Entomology, International Journal of Humanoid Robotics and ANU Open Research (Australian National University).

In The Last Decade

Chris Gaskett

11 papers receiving 169 citations

Author Peers

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

Author Last Decade Papers Cites
Chris Gaskett 89 59 48 40 27 12 185
Golnaz Habibi 94 1.1× 69 1.2× 43 0.9× 34 0.8× 43 1.6× 19 279
Young Jin Heo 69 0.8× 80 1.4× 10 0.2× 42 1.1× 100 3.7× 9 282
Albert J. Wavering 83 0.9× 72 1.2× 40 0.8× 22 0.6× 30 1.1× 20 185
Sung-Kyun Kim 72 0.8× 43 0.7× 54 1.1× 32 0.8× 22 0.8× 20 165
Linxi Fan 122 1.4× 73 1.2× 36 0.8× 103 2.6× 16 0.6× 10 236
Daniel Carton 140 1.6× 92 1.6× 40 0.8× 31 0.8× 28 1.0× 13 266
Yoichiro Endo 104 1.2× 42 0.7× 66 1.4× 80 2.0× 11 0.4× 12 261
Camilo Perez Quintero 153 1.7× 99 1.7× 55 1.1× 27 0.7× 23 0.9× 17 292
Hao Kang 115 1.3× 41 0.7× 28 0.6× 98 2.5× 12 0.4× 17 250
Ye Zheng 92 1.0× 38 0.6× 19 0.4× 88 2.2× 8 0.3× 13 194

Countries citing papers authored by Chris Gaskett

Since Specialization
Citations

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

Fields of papers citing papers by Chris Gaskett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Gaskett

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