Joe Warren

10.5k total citations · 5 hit papers
94 papers, 7.2k citations indexed

About

Joe Warren is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Molecular Biology. According to data from OpenAlex, Joe Warren has authored 94 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Mechanics, 47 papers in Computer Graphics and Computer-Aided Design and 12 papers in Molecular Biology. Recurrent topics in Joe Warren's work include Advanced Numerical Analysis Techniques (51 papers), Computational Geometry and Mesh Generation (31 papers) and Computer Graphics and Visualization Techniques (24 papers). Joe Warren is often cited by papers focused on Advanced Numerical Analysis Techniques (51 papers), Computational Geometry and Mesh Generation (31 papers) and Computer Graphics and Visualization Techniques (24 papers). Joe Warren collaborates with scholars based in United States, United Kingdom and Germany. Joe Warren's co-authors include Scott Schaefer, Jeanne Ferrante, Karl J. Ottenstein, Tao Ju, Travis McPhail, Frank Losasso, Henrik Weimer, Tony DeRose, Ken Kennedy and John R. Allen and has published in prestigious journals such as PLoS ONE, Nature Methods and The FASEB Journal.

In The Last Decade

Joe Warren

93 papers receiving 6.7k citations

Hit Papers

The program dependence graph and its use in optimization 1983 2026 1997 2011 1987 2006 1983 2002 2005 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joe Warren United States 34 2.8k 2.3k 1.5k 1.3k 1.1k 94 7.2k
Christoph M. Hoffmann United States 35 1.9k 0.7× 1.7k 0.7× 765 0.5× 166 0.1× 98 0.1× 164 4.4k
Nancy M. Amato United States 40 343 0.1× 587 0.3× 3.3k 2.2× 128 0.1× 215 0.2× 221 5.3k
Sylvain Paris United States 43 575 0.2× 1.1k 0.5× 5.8k 3.9× 79 0.1× 139 0.1× 90 7.4k
Bryan Catanzaro United States 24 296 0.1× 346 0.1× 3.0k 2.0× 50 0.0× 392 0.4× 64 6.0k
Robert F. Sproull United States 21 542 0.2× 1.1k 0.5× 1.2k 0.8× 35 0.0× 119 0.1× 51 3.1k
Connelly Barnes United States 25 599 0.2× 1.0k 0.4× 4.2k 2.8× 59 0.0× 134 0.1× 49 5.5k
Kavita Bala United States 44 1.4k 0.5× 2.6k 1.1× 4.3k 2.9× 18 0.0× 130 0.1× 163 6.7k
Tomás Lozano‐Pérez United States 46 347 0.1× 902 0.4× 10.0k 6.6× 80 0.1× 176 0.2× 164 14.6k
Carlo H. Séquin United States 31 1.4k 0.5× 1.7k 0.7× 1.5k 1.0× 18 0.0× 47 0.0× 204 4.6k
David Salesin United States 57 3.0k 1.0× 5.1k 2.2× 9.9k 6.6× 24 0.0× 194 0.2× 122 12.4k

Countries citing papers authored by Joe Warren

Since Specialization
Citations

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

Fields of papers citing papers by Joe Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Warren

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Warren. A scholar is included among the top collaborators of Joe Warren 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 Joe Warren. Joe Warren 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.
Strickland, Dani, et al.. (2025). Long-Term Sweat Testing Dataset for Second-Life Batteries. Scientific Data. 12(1). 1068–1068. 1 indexed citations
2.
Yang, Jingxi, et al.. (2023). Second-Life Battery Capacity Estimation and Method Comparison. Energies. 16(7). 3244–3244. 9 indexed citations
3.
Liu, Zhenyi, Elena Maksimova, Žaklina Strezoska, et al.. (2020). ErCas12a CRISPR-MAD7 for Model Generation in Human Cells, Mice, and Rats. The CRISPR Journal. 3(2). 97–108. 33 indexed citations
4.
Liu, Zhenyi, et al.. (2016). Tissue Specific Expression of Cre in Rat Tyrosine Hydroxylase and Dopamine Active Transporter-Positive Neurons. PLoS ONE. 11(2). e0149379–e0149379. 17 indexed citations
5.
Hamilton, Shannon, Jennie R. Green, Surabi Veeraragavan, et al.. (2014). Fmr1 and Nlgn3 knockout rats: Novel tools for investigating autism spectrum disorders.. Behavioral Neuroscience. 128(2). 103–109. 111 indexed citations
6.
Brown, Andrew, Daniel A.C. Fisher, Evguenia Kouranova, et al.. (2013). Whole-rat conditional gene knockout via genome editing. Nature Methods. 10(7). 638–640. 65 indexed citations
7.
Ju, Tao, James P. Carson, Lu Liu, et al.. (2009). Subdivision meshes for organizing spatial biomedical data. Methods. 50(2). 70–76. 9 indexed citations
8.
Carson, James P., Tao Ju, Musodiq Bello, et al.. (2009). Automated pipeline for atlas-based annotation of gene expression patterns: Application to postnatal day 7 mouse brain. Methods. 50(2). 85–95. 14 indexed citations
9.
Bello, Musodiq, Tao Ju, James P. Carson, et al.. (2007). Learning-Based Segmentation Framework for Tissue Images Containing Gene Expression Data. IEEE Transactions on Medical Imaging. 26(5). 728–744. 13 indexed citations
10.
Ju, Tao, Joe Warren, James P. Carson, et al.. (2006). 3D volume reconstruction of a mouse brain from histological sections using warp filtering. Journal of Neuroscience Methods. 156(1-2). 84–100. 67 indexed citations
11.
Ju, Tao, Scott Schaefer, & Joe Warren. (2005). Mean value coordinates for closed triangular meshes. ACM Transactions on Graphics. 24(3). 561–566. 412 indexed citations breakdown →
12.
Carson, James P., Tao Ju, Hui‐Chen Lu, et al.. (2005). A Digital Atlas to Characterize the Mouse Brain Transcriptome. PLoS Computational Biology. 1(4). e41–e41. 50 indexed citations
13.
Ju, Tao, Scott Schaefer, & Joe Warren. (2005). Mean value coordinates for closed triangular meshes. 561–566. 92 indexed citations
14.
Warren, Joe & Scott Schaefer. (2004). A factored approach to subdivision surfaces. IEEE Computer Graphics and Applications. 24(3). 74–81. 20 indexed citations
15.
Weimer, Henrik, et al.. (1998). Efficient co-triangulation of large data sets. IEEE Visualization. 119–126. 2 indexed citations
16.
Weimer, Henrik, et al.. (1998). Efficient co-triangulation of large data sets. 119–126. 1 indexed citations
17.
Warren, Joe. (1992). Multi-sided Rational Surface Patches with Independent Boundary Control. 281–294. 1 indexed citations
18.
Warren, Joe. (1992). Free-form blending: a technique for creating piecewise implicit surfaces. Society for Industrial and Applied Mathematics eBooks. 3–21. 6 indexed citations
19.
Warren, Joe, Michael Swaine, Ray Valdés, Michael S. Floyd, & Jonathan C. Erickson. (1990). The past and future of computer programming. 16(1). 96.
20.
Warren, Joe. (1984). A hierarchical basis for reordering transformations. 272–282. 36 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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