Joseph Rafferty

99 total papers · 913 total citations
46 papers, 386 citations indexed

About

Joseph Rafferty is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Joseph Rafferty has authored 46 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Joseph Rafferty's work include Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (9 papers) and Technology Use by Older Adults (7 papers). Joseph Rafferty is often cited by papers focused on Context-Aware Activity Recognition Systems (18 papers), IoT and Edge/Fog Computing (9 papers) and Technology Use by Older Adults (7 papers). Joseph Rafferty collaborates with scholars based in United Kingdom, Mexico and Spain. Joseph Rafferty's co-authors include Chris Nugent, Liming Chen, Jun Liu, Jonathan Synnott, Zhanfeng Cui, Philip A. Catherwood, Ian Cleland, Mamun Abu-Tair, Philip Morrow and Matías García-Constantino and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Joseph Rafferty

45 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Joseph Rafferty 187 114 83 72 50 46 386
Ana B. García 183 1.0× 158 1.4× 57 0.7× 83 1.2× 35 0.7× 25 341
Tayeb Lemlouma 192 1.0× 177 1.6× 66 0.8× 65 0.9× 108 2.2× 21 390
Zhengyi Le 115 0.6× 198 1.7× 90 1.1× 59 0.8× 29 0.6× 27 353
Jie Wan 178 1.0× 202 1.8× 54 0.7× 120 1.7× 58 1.2× 25 424
Richard Tynan 89 0.5× 257 2.3× 50 0.6× 72 1.0× 26 0.5× 53 400
Xing Su 206 1.1× 116 1.0× 87 1.0× 65 0.9× 56 1.1× 22 419
Sawsan M. Mahmoud 232 1.2× 89 0.8× 122 1.5× 78 1.1× 15 0.3× 30 438
Nirmalya Thakur 116 0.6× 54 0.5× 115 1.4× 48 0.7× 38 0.8× 38 414
SK Alamgir Hossain 115 0.6× 139 1.2× 35 0.4× 56 0.8× 77 1.5× 28 372
Dario Bottazzi 155 0.8× 242 2.1× 28 0.3× 77 1.1× 51 1.0× 15 398

Countries citing papers authored by Joseph Rafferty

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Rafferty

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