Tandy Warnow

24.3k total citations · 3 hit papers
205 papers, 9.2k citations indexed

About

Tandy Warnow is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Tandy Warnow has authored 205 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 164 papers in Molecular Biology, 111 papers in Genetics and 51 papers in Artificial Intelligence. Recurrent topics in Tandy Warnow's work include Genomics and Phylogenetic Studies (154 papers), Genetic diversity and population structure (77 papers) and Algorithms and Data Compression (38 papers). Tandy Warnow is often cited by papers focused on Genomics and Phylogenetic Studies (154 papers), Genetic diversity and population structure (77 papers) and Algorithms and Data Compression (38 papers). Tandy Warnow collaborates with scholars based in United States, Russia and United Kingdom. Tandy Warnow's co-authors include Siavash Mirarab, Md. Shamsuzzoha Bayzid, C. Randal Linder, Kevin Liu, Luay Nakhleh, M. Shel Swenson, Nam Nguyen, Bernard M. E. Moret, Théo Zimmermann and Rezwana Reaz and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Tandy Warnow

201 papers receiving 8.9k citations

Hit Papers

ASTRAL: genome-scale coalescent-based species tree estima... 2010 2026 2015 2020 2014 2015 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tandy Warnow United States 46 6.1k 4.1k 1.6k 1.6k 1.1k 205 9.2k
Mike Steel New Zealand 56 6.8k 1.1× 4.7k 1.2× 1.0k 0.6× 1.6k 1.1× 1.0k 1.0× 269 10.4k
Remco Bouckaert New Zealand 27 3.1k 0.5× 3.9k 1.0× 1.2k 0.7× 2.6k 1.7× 535 0.5× 59 9.8k
Luay Nakhleh United States 40 3.5k 0.6× 2.5k 0.6× 928 0.6× 884 0.6× 248 0.2× 109 4.8k
Joshua B. Plotkin United States 54 5.3k 0.9× 3.4k 0.8× 771 0.5× 1.2k 0.8× 279 0.3× 146 11.7k
David Sankoff Canada 48 6.4k 1.0× 2.9k 0.7× 2.9k 1.8× 634 0.4× 2.0k 1.9× 225 11.3k
David Penny New Zealand 66 8.8k 1.4× 5.1k 1.3× 2.3k 1.4× 2.5k 1.6× 322 0.3× 238 14.4k
Andreas Wagner United States 62 9.7k 1.6× 5.3k 1.3× 1.4k 0.9× 827 0.5× 497 0.5× 247 13.5k
Michael D. Hendy New Zealand 34 3.1k 0.5× 2.4k 0.6× 626 0.4× 1.2k 0.7× 275 0.3× 97 5.1k
Vincent Moulton United Kingdom 42 3.8k 0.6× 1.4k 0.3× 3.1k 1.9× 677 0.4× 268 0.2× 239 8.0k
Mark Beaumont United Kingdom 49 2.2k 0.4× 7.7k 1.9× 1.0k 0.6× 1.7k 1.1× 1.4k 1.3× 105 12.4k

Countries citing papers authored by Tandy Warnow

Since Specialization
Citations

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

Fields of papers citing papers by Tandy Warnow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tandy Warnow

This figure shows the co-authorship network connecting the top 25 collaborators of Tandy Warnow. A scholar is included among the top collaborators of Tandy Warnow 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 Tandy Warnow. Tandy Warnow 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.
Willson, James K. V., et al.. (2023). DISCO+QR: rooting species trees in the presence of GDL and ILS. Bioinformatics Advances. 3(1). vbad015–vbad015. 1 indexed citations
2.
Warnow, Tandy, et al.. (2023). HMMerge: an ensemble method for multiple sequence alignment. Bioinformatics Advances. 3(1). vbad052–vbad052. 2 indexed citations
3.
Warnow, Tandy, et al.. (2023). WITCH-NG: efficient and accurate alignment of datasets with sequence length heterogeneity. Bioinformatics Advances. 3(1). vbad024–vbad024. 3 indexed citations
4.
Warnow, Tandy, et al.. (2022). WITCH: Improved Multiple Sequence Alignment Through Weighted Consensus Hidden Markov Model Alignment. Journal of Computational Biology. 29(8). 782–801. 7 indexed citations
5.
Warnow, Tandy, et al.. (2022). AOC: Assembling overlapping communities. Quantitative Science Studies. 3(4). 1079–1096. 1 indexed citations
6.
Molloy, Erin K., et al.. (2020). Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss. Journal of Computational Biology. 28(5). 452–468. 21 indexed citations
7.
Molloy, Erin K. & Tandy Warnow. (2020). FastMulRFS: fast and accurate species tree estimation under generic gene duplication and loss models. Bioinformatics. 36(Supplement_1). i57–i65. 25 indexed citations
8.
Johnson, Kevin P., Nam Nguyen, Andrew D. Sweet, et al.. (2018). Simultaneous radiation of bird and mammal lice following the K-Pg boundary. Biology Letters. 14(5). 20180141–20180141. 36 indexed citations
9.
Mirarab, Siavash, Nam Nguyen, Sheng Guo, et al.. (2014). PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences. Journal of Computational Biology. 22(5). 377–386. 281 indexed citations
10.
Bayzid, Md. Shamsuzzoha & Tandy Warnow. (2012). Estimating Optimal Species Trees from Incomplete Gene Trees Under Deep Coalescence. Journal of Computational Biology. 19(6). 591–605. 25 indexed citations
11.
Liu, Kevin, C. Randal Linder, & Tandy Warnow. (2010). Multiple sequence alignment: a major challenge to large-scale phylogenetics. PLoS Currents. 2. RRN1198–RRN1198. 51 indexed citations
12.
Liu, Kevin, S. Raghavan, Serita M. Nelesen, C. Randal Linder, & Tandy Warnow. (2009). Rapid and Accurate Large-Scale Coestimation of Sequence Alignments and Phylogenetic Trees. Science. 324(5934). 1561–1564. 384 indexed citations
13.
Moret, Bernard M. E., et al.. (2001). New approaches for reconstructing phylogenies from gene order data. Computer applications in the biosciences. 17(Suppl 1). S165–S173. 85 indexed citations
14.
Warnow, Tandy, Bernard M. E. Moret, & Katherine St. John. (2001). Absolute convergence: true trees from short sequences. Symposium on Discrete Algorithms. 186–195. 27 indexed citations
15.
Warnow, Tandy, et al.. (2001). Absolute phylogeny: true trees from short sequences. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 186–195. 4 indexed citations
16.
Cosner, Mary E., et al.. (2000). A new fast heuristic for computing the breakpoint phylogeny and a phylogenetic analysis of a group of highly rearranged chloroplast genomes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 104–115. 8 indexed citations
17.
Warnow, Tandy, Donald A. Ringe, & Ann Taylor. (1996). Reconstructing the evolutionary history of natural languages. Symposium on Discrete Algorithms. 314–322. 25 indexed citations
18.
Kannan, Sampath & Tandy Warnow. (1995). A fast algorithm for the computation and enumeration of perfect phylogenies when the number of character states is fixed. Symposium on Discrete Algorithms. 595–603. 16 indexed citations
19.
Warnow, Tandy. (1993). Constructing phylogenetic trees efficiently using compatibility criteria. New Zealand Journal of Botany. 31(3). 239–247. 12 indexed citations
20.
Kannan, Sampath, Eugene L. Lawler, & Tandy Warnow. (1990). Determining the evolutionary tree. Symposium on Discrete Algorithms. 475–484. 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.

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