Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Citations per year, relative to Genevieve Orr Genevieve Orr (= 1×)
peers
Pascal Lamblin
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).
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.
Grieco, John P., et al.. (2015). 3D printing in the classroom and laboratory. Journal of computing sciences in colleges. 31(1). 183–184.6 indexed citations
3.
Weiss, Richard, et al.. (2011). Using the context of algorithmic art to change attitudes in introductory programming. Journal of computing sciences in colleges. 27(1). 112–119.5 indexed citations
Wolff, David, et al.. (2008). The content and role of the computer graphics course in small, liberal arts colleges: panel discussion. Journal of computing sciences in colleges. 24(2). 20–22.2 indexed citations
8.
Orr, Genevieve, et al.. (2006). Games in the computer science classroom. Journal of computing sciences in colleges. 22(2). 97–98.1 indexed citations
9.
Bryant, R., et al.. (2006). NSF'S Integrative Computing Education and Research (ICER) initiative: whither the northwest. Journal of computing sciences in colleges. 22(2). 49–51.1 indexed citations
10.
Orr, Genevieve, et al.. (2005). A new collaborative teaching model applied to digital music and 3D computer animation. Journal of computing sciences in colleges. 21(1). 246–253.3 indexed citations
11.
Orr, Genevieve, et al.. (2003). Transitions: A Professional Development Model for Collaborative Multimedia Creation. EdMedia: World Conference on Educational Media and Technology. 2003(1). 1747–1748.2 indexed citations
Orr, Genevieve, et al.. (2002). Interactive program demonstration as a form of student program assessment. Journal of computing sciences in colleges. 18(2). 65–78.9 indexed citations
Orr, Genevieve & Klaus‐Robert Müller. (1998). Regularization Techniques to Improve Generalization: Preface. Neural Information Processing Systems. 51–54.1 indexed citations
16.
Orr, Genevieve & Klaus‐Robert Müller. (1998). Tricks for Time Series: Preface. Neural Information Processing Systems. 343–346.1 indexed citations
17.
Orr, Genevieve & Klaus‐Robert Müller. (1998). Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop.22 indexed citations
18.
Orr, Genevieve. (1996). Removing Noise in On-Line Search using Adaptive Batch Sizes. Neural Information Processing Systems. 9. 232–238.5 indexed citations
19.
Orr, Genevieve & Todd K. Leen. (1996). Using Curvature Information for Fast Stochastic Search. Neural Information Processing Systems. 9. 606–612.21 indexed citations
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.