Matt Richardson

23 total papers · 2.9k total citations
8 papers, 1.8k citations indexed

About

Matt Richardson is a scholar working on Sociology and Political Science, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Matt Richardson has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Matt Richardson's work include Augmented Reality Applications (1 paper), Retirement, Disability, and Employment (1 paper) and Complex Network Analysis Techniques (1 paper). Matt Richardson is often cited by papers focused on Augmented Reality Applications (1 paper), Retirement, Disability, and Employment (1 paper) and Complex Network Analysis Techniques (1 paper). Matt Richardson collaborates with scholars based in United States and Canada. Matt Richardson's co-authors include Pedro Domingos, Stephen Nowicki and Yvonne Coady and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research) and Digital Scholarship - UNLV (University of Nevada Reno).

In The Last Decade

Matt Richardson

8 papers receiving 1.7k citations

Hit Papers

Mining the network value ... 2001 2026 2009 2017 2001 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Matt Richardson 1.4k 378 376 352 261 8 1.8k
Amit Goyal 1.4k 0.9× 332 0.9× 357 0.9× 299 0.8× 163 0.6× 8 1.5k
Siyu Yang 1.2k 0.9× 295 0.8× 373 1.0× 276 0.8× 158 0.6× 24 1.6k
Massimiliano Marcon 1.1k 0.8× 495 1.3× 780 2.1× 555 1.6× 68 0.3× 8 2.0k
Sitaram Asur 1.0k 0.7× 429 1.1× 209 0.6× 818 2.3× 177 0.7× 23 2.4k
Farzin Maghoul 1.1k 0.8× 778 2.1× 475 1.3× 424 1.2× 90 0.3× 11 2.1k
Jaewon Yang 936 0.6× 338 0.9× 241 0.6× 602 1.7× 83 0.3× 33 1.8k
Johan Ugander 747 0.5× 163 0.4× 266 0.7× 338 1.0× 91 0.3× 39 1.4k
Xiangyang Lan 734 0.5× 306 0.8× 311 0.8× 373 1.1× 42 0.2× 5 1.4k
Kostas Tsioutsiouliklis 290 0.2× 543 1.4× 184 0.5× 758 2.2× 245 0.9× 25 1.4k
Theodoros Lappas 385 0.3× 537 1.4× 196 0.5× 461 1.3× 115 0.4× 49 1.6k

Countries citing papers authored by Matt Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Matt Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Richardson

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