Genevieve Orr

45 total papers · 6.6k total citations
27 papers, 3.3k citations indexed

About

Genevieve Orr is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Genevieve Orr has authored 27 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Science Applications and 5 papers in Developmental and Educational Psychology. Recurrent topics in Genevieve Orr's work include Teaching and Learning Programming (8 papers), Neural Networks and Applications (7 papers) and Stochastic Gradient Optimization Techniques (3 papers). Genevieve Orr is often cited by papers focused on Teaching and Learning Programming (8 papers), Neural Networks and Applications (7 papers) and Stochastic Gradient Optimization Techniques (3 papers). Genevieve Orr collaborates with scholars based in United States and Germany. Genevieve Orr's co-authors include Klaus‐Robert Müller, Grégoire Montavon, Yann LeCun, Léon Bottou, Todd K. Leen, Scott Wallace, Richard Weiss, Susan Gold, Cary Laxer and Kelvin Sung and has published in prestigious journals such as Lecture notes in computer science, Neural Information Processing Systems and Journal of computing sciences in colleges.

In The Last Decade

Genevieve Orr

25 papers receiving 3.1k citations

Hit Papers

Neural Networks: Tricks o... 1998 2026 2007 2016 2012 1998 1998 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
Genevieve Orr 1.4k 918 344 289 195 27 3.3k
James Martens 2.0k 1.4× 1.3k 1.4× 308 0.9× 393 1.4× 177 0.9× 23 3.5k
Y. Le Cun 1.4k 1.0× 1.4k 1.5× 266 0.8× 297 1.0× 122 0.6× 38 2.9k
Todd K. Leen 1.6k 1.1× 993 1.1× 260 0.8× 368 1.3× 311 1.6× 64 3.9k
Tapani Raiko 1.5k 1.0× 1.2k 1.3× 220 0.6× 351 1.2× 117 0.6× 61 3.2k
Andrew D. Back 1.1k 0.8× 1.1k 1.2× 333 1.0× 490 1.7× 184 0.9× 42 2.9k
Shakir Mohamed 2.0k 1.4× 1.3k 1.4× 209 0.6× 409 1.4× 191 1.0× 52 4.6k
David Arthur 1.8k 1.3× 1.2k 1.4× 437 1.3× 686 2.4× 132 0.7× 16 4.4k
Takuya Akiba 1.2k 0.8× 590 0.6× 414 1.2× 365 1.3× 126 0.6× 25 4.0k
Ali Rahimi 1.4k 1.0× 1.0k 1.1× 365 1.1× 243 0.8× 96 0.5× 37 2.6k
William E. Full 2.1k 1.5× 1.3k 1.4× 306 0.9× 451 1.6× 87 0.4× 25 4.9k

Countries citing papers authored by Genevieve Orr

Since Specialization
Citations

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

Fields of papers citing papers by Genevieve Orr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genevieve Orr

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