Rick Stevens

43.9k total citations · 4 hit papers
160 papers, 13.1k citations indexed

About

Rick Stevens is a scholar working on Molecular Biology, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Rick Stevens has authored 160 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 38 papers in Computer Networks and Communications and 20 papers in Hardware and Architecture. Recurrent topics in Rick Stevens's work include Distributed and Parallel Computing Systems (27 papers), Parallel Computing and Optimization Techniques (20 papers) and Genomics and Phylogenetic Studies (19 papers). Rick Stevens is often cited by papers focused on Distributed and Parallel Computing Systems (27 papers), Parallel Computing and Optimization Techniques (20 papers) and Genomics and Phylogenetic Studies (19 papers). Rick Stevens collaborates with scholars based in United States, United Kingdom and Netherlands. Rick Stevens's co-authors include Robert A. Edwards, Ross Overbeek, Fangfang Xia, Robert Olson, Maulik Shukla, James J. Davis, Terry Disz, Veronika Vonstein, Gordon D. Pusch and Svetlana Gerdes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Rick Stevens

151 papers receiving 12.8k citations

Hit Papers

The SEED and the Rapid Annotation of microbial genomes us... 2008 2026 2014 2020 2013 2008 2015 2010 1000 2.0k 3.0k

Peers

Rick Stevens
Ross Overbeek United States
Tak‐Wah Lam Hong Kong
George Coulouris United Kingdom
Folker Meyer United States
Robert Olson United States
Arthur L. Delcher United States
James Taylor United States
James Ostell United States
Michael Y. Galperin United States
Ross Overbeek United States
Rick Stevens
Citations per year, relative to Rick Stevens Rick Stevens (= 1×) peers Ross Overbeek

Countries citing papers authored by Rick Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Rick Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rick Stevens

This figure shows the co-authorship network connecting the top 25 collaborators of Rick Stevens. A scholar is included among the top collaborators of Rick Stevens 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 Rick Stevens. Rick Stevens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Narykov, Oleksandr, Thomas Brettin, Yvonne A. Evrard, et al.. (2025). Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting. Briefings in Bioinformatics. 26(2).
4.
Brace, Alexander, et al.. (2024). High Performance Binding Affinity Prediction with a Transformer-Based Surrogate Model. 571–580. 1 indexed citations
5.
Mixão, Verónica, Ester Saus, Ferry Hagen, et al.. (2024). A yeast love triangle: multiple hybridizations shape genome evolution in the Pichia cactophila species complex. Mycosphere. 15(1). 1083–1109. 4 indexed citations
6.
Partin, Alexander, Thomas Brettin, Yitan Zhu, et al.. (2023). Deep learning methods for drug response prediction in cancer: Predominant and emerging trends. Frontiers in Medicine. 10. 1086097–1086097. 59 indexed citations
7.
Clyde, Austin, et al.. (2023). ChemoGraph: Interactive Visual Exploration of the Chemical Space. Computer Graphics Forum. 42(3). 13–24. 2 indexed citations
8.
Hudson, Nathaniel, Logan Ward, Ryan Chard, et al.. (2023). Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. 1–10. 5 indexed citations
9.
Cheng, Jason X., et al.. (2023). Overcoming Venetoclax Resistance in Leukemia with AI-Designed RNA Epigenetic Inhibitors. Blood. 142(Supplement 1). 5738–5738. 1 indexed citations
10.
Nguyen, Marcus, S. Wesley Long, Patrick F. McDermott, et al.. (2018). Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella. Journal of Clinical Microbiology. 57(2). 182 indexed citations
11.
Faria, José P., James J. Davis, Janaka N. Edirisinghe, et al.. (2016). Computing and Applying Atomic Regulons to Understand Gene Expression and Regulation. Frontiers in Microbiology. 7. 1819–1819. 5 indexed citations
12.
Hereld, Mark, et al.. (2007). Framework for Interactive Million-Neuron Simulation. Journal of Clinical Neurophysiology. 24(2). 189–196. 5 indexed citations
13.
Drongelen, Wim van, Henner Koch, Frank P. Elsen, et al.. (2006). Role of Persistent Sodium Current in Bursting Activity of Mouse Neocortical Networks In Vitro. Journal of Neurophysiology. 96(5). 2564–2577. 56 indexed citations
14.
Hereld, Mark, et al.. (2005). Developing a petascale neural simulation. PubMed. 4. 3999–4002. 6 indexed citations
15.
Drongelen, Wim van, et al.. (2004). Interaction between cellular voltage-sensitive conductance and network parameters in a model of neocortex can generate epileptiform bursting. 4003–4005. 5 indexed citations
16.
Geisler, Jonathan, Valerie Taylor, Xingfu Wu, & Rick Stevens. (2003). Using Kernel Coupling to Improve the Performance of Multithreaded Applications.. 361–368. 2 indexed citations
17.
Stevens, Rick, Michael E. Papka, Mark J. Kilgard, Gareth Humphreys, & Thomas Funkhouser. (2001). Commodity graphics accelerators for scientific visualization. IEEE Visualization. 527–529. 1 indexed citations
18.
Wu, Xingfu, Valerie Taylor, Jonathan Geisler, et al.. (2001). Design and Development of the Prophesy Performance Database for Distributed Scientific Applications.. PPSC. 13 indexed citations
19.
Butler, Ralph, Terry Disz, Ewing Lusk, et al.. (1988). Scheduling OR-Parallelism: An Argonne Perspective.. International Conference on Lightning Protection. 1590–1605. 21 indexed citations
20.
Meredith, Travis A., et al.. (1988). Suppression of Experimental Tractional Retinal Detachment by Low-Dose Radiation Therapy. Archives of Ophthalmology. 106(5). 673–675. 13 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.

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