Patricia Riddle

108 total papers · 1.3k total citations
57 papers, 685 citations indexed

About

Patricia Riddle is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Patricia Riddle has authored 57 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 11 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Patricia Riddle's work include Data Stream Mining Techniques (11 papers), Time Series Analysis and Forecasting (9 papers) and AI-based Problem Solving and Planning (7 papers). Patricia Riddle is often cited by papers focused on Data Stream Mining Techniques (11 papers), Time Series Analysis and Forecasting (9 papers) and AI-based Problem Solving and Planning (7 papers). Patricia Riddle collaborates with scholars based in New Zealand, Netherlands and France. Patricia Riddle's co-authors include Shafiq Alam, Gillian Dobbie, Yun Sing Koh, Saeed Ur Rehman, Richard Segal, Oren Etzioni, Emília Mendes, Jim Warren, Catherine Watson and M. Asif Naeem and has published in prestigious journals such as Machine Learning, Computer Vision and Image Understanding and Journal of Biomedical Informatics.

In The Last Decade

Patricia Riddle

51 papers receiving 640 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia Riddle 424 175 100 91 75 57 685
S. Nickolas 241 0.6× 181 1.0× 129 1.3× 63 0.7× 34 0.5× 69 708
Russel Pears 302 0.7× 183 1.0× 99 1.0× 46 0.5× 107 1.4× 61 560
Don‐Lin Yang 201 0.5× 191 1.1× 134 1.3× 156 1.7× 72 1.0× 72 619
Shailesh Tiwari 221 0.5× 175 1.0× 174 1.7× 66 0.7× 43 0.6× 61 621
Seppo Puuronen 471 1.1× 156 0.9× 64 0.6× 123 1.4× 101 1.3× 51 754
Martin Loomes 244 0.6× 104 0.6× 50 0.5× 104 1.1× 42 0.6× 56 580
Manjari Gupta 293 0.7× 249 1.4× 81 0.8× 99 1.1× 96 1.3× 68 760
Ruba Abu Khurma 364 0.9× 127 0.7× 154 1.5× 85 0.9× 94 1.3× 44 662
Eun‐Soo Kim 181 0.4× 114 0.7× 144 1.4× 192 2.1× 163 2.2× 65 658
William M. Pottenger 455 1.1× 199 1.1× 91 0.9× 144 1.6× 90 1.2× 57 716

Countries citing papers authored by Patricia Riddle

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Riddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Riddle

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