Paul Bodily

864 total citations
36 papers, 516 citations indexed

About

Paul Bodily is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul Bodily has authored 36 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul Bodily's work include Genomics and Phylogenetic Studies (9 papers), Music Technology and Sound Studies (5 papers) and Software Engineering Research (4 papers). Paul Bodily is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Music Technology and Sound Studies (5 papers) and Software Engineering Research (4 papers). Paul Bodily collaborates with scholars based in United States, China and France. Paul Bodily's co-authors include Yiyang Wu, Håkon Håkonarson, Zhi Wei, W. Evan Johnson, Jason O'Rawe, Lifeng Tian, Wei Wang, Jingchu Hu, Kai Wang and Gholson J. Lyon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Paul Bodily

30 papers receiving 495 citations

Peers

Paul Bodily
Audra Johnson United States
Michael S. Kuehn United States
Medhat Mahmoud United States
Kang Huang China
Chien‐Yueh Lee Taiwan
Jessica Alföldi United States
Moritz Smolka Austria
Matthew T. Maurano United States
Darin London United States
Yibo Dong United States
Audra Johnson United States
Paul Bodily
Citations per year, relative to Paul Bodily Paul Bodily (= 1×) peers Audra Johnson

Countries citing papers authored by Paul Bodily

Since Specialization
Citations

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

Fields of papers citing papers by Paul Bodily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Bodily

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Bodily. A scholar is included among the top collaborators of Paul Bodily 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 Paul Bodily. Paul Bodily 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.
2.
Bodily, Paul & Dan Ventura. (2022). Steerable Music Generation which Satisfies Long-Range Dependency Constraints. SHILAP Revista de lepidopterología. 5(1). 71–86. 2 indexed citations
3.
Suvorov, Anton, Céline Scornavacca, Mao Fujimoto, et al.. (2021). Deep Ancestral Introgression Shapes Evolutionary History of Dragonflies and Damselflies. Systematic Biology. 71(3). 526–546. 47 indexed citations
4.
Bodily, Paul & Dan Ventura. (2021). Inferring Structural Constraints in Musical Sequences via Multiple Self-Alignment. eScholarship (California Digital Library). 2 indexed citations
5.
Bates, C.E., et al.. (2021). Proximal-end bias from in-vitro reconstituted nucleosomes and the result on downstream data analysis. PLoS ONE. 16(10). e0258737–e0258737. 1 indexed citations
6.
Bodily, Paul, et al.. (2021). Automating Predictive Maintenance for Energy Efficiency via Machine Learning and IoT Sensors. EPiC series in computing. 79. 54–43. 1 indexed citations
7.
Bodily, Paul, et al.. (2020). Computational Humor: Automated Pun Generation.. ICCC. 181–184. 1 indexed citations
8.
Bodily, Paul, et al.. (2020). Creative Constellation Generation: A System Description.. ICCC. 496–499.
9.
Bodily, Paul & Dan Ventura. (2020). What Happens When a Computer Joins the Group. ICCC. 41–48.
10.
Bodily, Paul, et al.. (2019). "She Offered No Argument": Constrained Probabilistic Modeling for Mnemonic Device Generation.. ICCC. 81–88.
11.
Bodily, Paul & Dan Ventura. (2018). Explainability: An Aesthetic for Aesthetics in Computational Creative Systems.. ICCC. 153–160. 3 indexed citations
12.
Bodily, Paul, et al.. (2017). Text Transformation Via Constraints and Word Embedding.. ICCC. 49–56. 7 indexed citations
13.
Bodily, Paul, et al.. (2017). Computational Creativity via Human-Level Concept Learning.. ICCC. 57–64. 3 indexed citations
14.
Bodily, Paul, Mao Fujimoto, Justin T. Page, et al.. (2016). A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease. BMC Bioinformatics. 17(S7). 268–268. 12 indexed citations
15.
Bodily, Paul, Mark Clement, Quinn Snell, Mao Fujimoto, & Perry G. Ridge. (2014). Haplotype-centered mapping for improved alignments and genetic association studies. 499–505. 1 indexed citations
16.
Bodily, Paul, et al.. (2013). Application of a MAX-CUT Heuristic to the Contig Orientation Problem in Genome Assembly. 476–483. 1 indexed citations
17.
O'Rawe, Jason, Tao Jiang, Guangqing Sun, et al.. (2013). Low concordance of multiple variant-calling pipelines: practical implications for exome and genome sequencing. Genome Medicine. 5(3). 28–28. 314 indexed citations
18.
Morris, Richard G., Scott H. Burton, Paul Bodily, & Dan Ventura. (2012). Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef. ICCC. 119–125. 15 indexed citations
19.
Ward, J. A., Michael C. Schatz, Courtney Weber, et al.. (2012). A draft assembly and analysis of the highly heterozygous diploid red raspberry genome (Rubus idaeus cv. Heritage). CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach). 1 indexed citations
20.
Ward, J. A., Michael C. Schatz, Courtney Weber, et al.. (2012). Progress on the development of a genome sequence for red raspberry Rubus idaeus. CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach). 56. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Audra Johnson Breakdown of academic impact, for papers by Michael S. Kuehn Breakdown of academic impact, for papers by Medhat Mahmoud Breakdown of academic impact, for papers by Kang Huang Breakdown of academic impact, for papers by Chien‐Yueh Lee Breakdown of academic impact, for papers by Jessica Alföldi Breakdown of academic impact, for papers by Moritz Smolka Breakdown of academic impact, for papers by Matthew T. Maurano Breakdown of academic impact, for papers by Darin London Breakdown of academic impact, for papers by Yibo Dong
Rankless by CCL
2026