Suzanne Martin

221 total papers · 3.1k total citations
107 papers, 1.6k citations indexed

About

Suzanne Martin is a scholar working on Computer Vision and Pattern Recognition, General Health Professions and Cognitive Neuroscience. According to data from OpenAlex, Suzanne Martin has authored 107 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 19 papers in General Health Professions and 19 papers in Cognitive Neuroscience. Recurrent topics in Suzanne Martin's work include Context-Aware Activity Recognition Systems (21 papers), Technology Use by Older Adults (17 papers) and EEG and Brain-Computer Interfaces (16 papers). Suzanne Martin is often cited by papers focused on Context-Aware Activity Recognition Systems (21 papers), Technology Use by Older Adults (17 papers) and EEG and Brain-Computer Interfaces (16 papers). Suzanne Martin collaborates with scholars based in United Kingdom, United States and Spain. Suzanne Martin's co-authors include Maurice Mulvenna, Jonathan Wallace, George Kernohan, Chris Nugent, Mark A. Tully, Yvonne Barnett, Louis Jacob, Bernadette McCreight, Laurie Butler and Anita Yakkundi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Comparative Neurology and Cochrane Database of Systematic Reviews.

In The Last Decade

Suzanne Martin

94 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Suzanne Martin 296 283 252 211 204 107 1.6k
Laura Brown 192 0.6× 344 1.2× 215 0.9× 204 1.0× 158 0.8× 79 2.0k
Stefano Federici 186 0.6× 209 0.7× 112 0.4× 344 1.6× 76 0.4× 131 2.3k
Jinhui Li 194 0.7× 187 0.7× 139 0.6× 108 0.5× 32 0.2× 116 2.0k
Craig Speelman 232 0.8× 143 0.5× 170 0.7× 418 2.0× 44 0.2× 80 1.8k
Valerie Johnson 501 1.7× 322 1.1× 32 0.1× 146 0.7× 47 0.2× 43 2.2k
Andrea Bosco 219 0.7× 99 0.3× 42 0.2× 420 2.0× 110 0.5× 120 1.8k
Annalu Waller 164 0.6× 554 2.0× 134 0.5× 349 1.7× 116 0.6× 87 1.9k
Saeed Abdullah 157 0.5× 215 0.8× 95 0.4× 205 1.0× 109 0.5× 71 1.6k
Greg Wadley 417 1.4× 345 1.2× 104 0.4× 181 0.9× 60 0.3× 91 2.2k
Santo Di Nuovo 378 1.3× 111 0.4× 43 0.2× 447 2.1× 34 0.2× 166 2.0k

Countries citing papers authored by Suzanne Martin

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Martin

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