Andrew Perkis

166 total papers · 2.6k total citations
111 papers, 1.2k citations indexed

About

Andrew Perkis is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Andrew Perkis has authored 111 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 29 papers in Signal Processing and 18 papers in Sociology and Political Science. Recurrent topics in Andrew Perkis's work include Image and Video Quality Assessment (50 papers), Video Coding and Compression Technologies (23 papers) and Advanced Data Compression Techniques (21 papers). Andrew Perkis is often cited by papers focused on Image and Video Quality Assessment (50 papers), Video Coding and Compression Technologies (23 papers) and Advanced Data Compression Techniques (21 papers). Andrew Perkis collaborates with scholars based in Norway, Switzerland and Germany. Andrew Perkis's co-authors include Junyong You, Touradj Ebrahimi, R. Venkatesh Babu, Moncef Gabbouj, Liyuan Xing, Miska M. Hannuksela, Sebastian Arndt, Jari Korhonen, J. Bormans and Suresh Sundaram and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Frontiers in Psychology.

In The Last Decade

Andrew Perkis

104 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Andrew Perkis 816 232 211 182 159 111 1.2k
Kjell Brunnström 764 0.9× 240 1.0× 171 0.8× 135 0.7× 119 0.7× 91 1.1k
V. Michael Bove 553 0.7× 89 0.4× 460 2.2× 83 0.5× 84 0.5× 108 1.2k
Guangyou Xu 1.1k 1.3× 115 0.5× 138 0.7× 61 0.3× 86 0.5× 117 1.4k
Mohammad Rahmati 664 0.8× 130 0.6× 134 0.6× 70 0.4× 189 1.2× 102 1.4k
Maria Torres Vega 564 0.7× 218 0.9× 108 0.5× 110 0.6× 256 1.6× 71 925
Nicola Conci 724 0.9× 95 0.4× 84 0.4× 72 0.4× 105 0.7× 118 1.3k
Kia Dashtipour 302 0.4× 112 0.5× 72 0.3× 198 1.1× 62 0.4× 67 1.4k
Cristina Hava Muntean 305 0.4× 78 0.3× 107 0.5× 163 0.9× 217 1.4× 84 1.1k
Hong-Han Shuai 731 0.9× 122 0.5× 50 0.2× 69 0.4× 107 0.7× 118 1.5k
Don Kimber 688 0.8× 228 1.0× 29 0.1× 156 0.9× 56 0.4× 69 1.2k

Countries citing papers authored by Andrew Perkis

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Perkis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Perkis

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