Travis E. Doom

904 total citations
40 papers, 602 citations indexed

About

Travis E. Doom is a scholar working on Molecular Biology, Hardware and Architecture and Genetics. According to data from OpenAlex, Travis E. Doom has authored 40 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Hardware and Architecture and 5 papers in Genetics. Recurrent topics in Travis E. Doom's work include Genomics and Phylogenetic Studies (9 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers) and RNA and protein synthesis mechanisms (7 papers). Travis E. Doom is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers) and RNA and protein synthesis mechanisms (7 papers). Travis E. Doom collaborates with scholars based in United States, India and Singapore. Travis E. Doom's co-authors include Michael L. Raymer, Dan E. Krane, Nicholas V. Reo, Paul E. Anderson, Nicholas J. DelRaso, William F. Punch, Leslie A. Kuhn, Deirdre A. Mahle, Jason R. Gilder and Esley M. Heizer and has published in prestigious journals such as Bioinformatics, Molecular Biology and Evolution and Journal of Molecular Evolution.

In The Last Decade

Travis E. Doom

36 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis E. Doom United States 12 348 126 125 62 51 40 602
Isobel Claire Gormley Ireland 17 153 0.4× 222 1.8× 92 0.7× 42 0.7× 24 0.5× 44 744
Yi‐Fan Chang Taiwan 13 205 0.6× 64 0.5× 50 0.4× 34 0.5× 187 3.7× 27 1.0k
Giulia Menichetti United States 15 347 1.0× 46 0.4× 85 0.7× 32 0.5× 45 0.9× 33 1.0k
John R. Rose United States 14 137 0.4× 178 1.4× 30 0.2× 33 0.5× 10 0.2× 54 513
Rónán Daly United Kingdom 15 416 1.2× 146 1.2× 39 0.3× 60 1.0× 30 0.6× 37 761
Yuan Lin China 14 410 1.2× 48 0.4× 16 0.1× 41 0.7× 45 0.9× 50 813
J.J. Rowland United Kingdom 7 198 0.6× 28 0.2× 26 0.2× 48 0.8× 23 0.5× 24 350
Kenji Satou Japan 18 659 1.9× 135 1.1× 50 0.4× 32 0.5× 11 0.2× 95 1.1k
Katherine M. Collins United Kingdom 11 490 1.4× 106 0.8× 57 0.5× 88 1.4× 19 0.4× 21 854

Countries citing papers authored by Travis E. Doom

Since Specialization
Citations

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

Fields of papers citing papers by Travis E. Doom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis E. Doom. 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 Travis E. Doom. The network helps show where Travis E. Doom may publish in the future.

Co-authorship network of co-authors of Travis E. Doom

This figure shows the co-authorship network connecting the top 25 collaborators of Travis E. Doom. A scholar is included among the top collaborators of Travis E. Doom 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 Travis E. Doom. Travis E. Doom 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.
Raymer, Michael L., et al.. (2016). Educational methods for inverted-lecture computer science classrooms to overcome common barriers to STEM student success. Journal of Bioresource Management. 18. 1–4. 1 indexed citations
2.
Heizer, Esley M., et al.. (2012). Metabolic and Translational Efficiency in Microbial Organisms. Journal of Molecular Evolution. 74(3-4). 206–216. 14 indexed citations
3.
Krane, Dan E., et al.. (2011). Inferring the Number of Contributors to Mixed DNA Profiles. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(1). 113–122. 20 indexed citations
4.
Krane, Dan E., et al.. (2009). Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(2). 238–250. 8 indexed citations
5.
Krane, Dan E., et al.. (2009). A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 342–352. 2 indexed citations
6.
Kelly, Benjamin, Paul E. Anderson, Nicholas V. Reo, et al.. (2007). A Proposed Statistical Protocol for the Analysis of Metabolic Toxicological Data Derived from NMR Spectroscopy. 12. 1414–1418.
7.
Heizer, Esley M., et al.. (2006). Amino Acid Cost and Codon-Usage Biases in 6 Prokaryotic Genomes: A Whole-Genome Analysis. Molecular Biology and Evolution. 23(9). 1670–1680. 61 indexed citations
8.
Doom, Travis E., et al.. (2006). Assessing the Implications for Close Relatives in the Event of Similar but Nonmatching DNA Profiles. Journal of Bioresource Management. 46(2). 161–175. 5 indexed citations
9.
Gilder, Jason R., Travis E. Doom, Keith Inman, & Dan E. Krane. (2006). Run‐Specific Limits of Detection and Quantitation for STR‐based DNA Testing. Journal of Forensic Sciences. 52(1). 97–101. 47 indexed citations
10.
Raymer, Michael L., et al.. (2004). Indexing genomic databases. Journal of Bioresource Management. 587–591. 6 indexed citations
11.
Doom, Travis E., et al.. (2004). Bioinformatics in the undergraduate curriculum. 229–230. 1 indexed citations
12.
Raymer, Michael L., Travis E. Doom, Leslie A. Kuhn, & William F. Punch. (2003). Knowledge discovery in medical and biological datasets using a hybrid bayes classifier/evolutionary algorithm. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(5). 802–813. 79 indexed citations
13.
Doom, Travis E., Michael G. Raymer, Dan E. Krane, & Óscar García. (2002). A proposed undergraduate bioinformatics curriculum for computer scientists. ACM SIGCSE Bulletin. 34(1). 78–81. 2 indexed citations
14.
Doom, Travis E., et al.. (2002). Utilizing output signatures to enhance semantic matching. Journal of Bioresource Management. 2. 686–689.
15.
Doom, Travis E., et al.. (2002). A proposed undergraduate bioinformatics curriculum for computer scientists. 78–81. 19 indexed citations
16.
Doom, Travis E., et al.. (2002). Identifying high-level components in combinational circuits. Journal of Bioresource Management. 313–318. 11 indexed citations
17.
Gilder, Jason R., Michael L. Raymer, & Travis E. Doom. (2001). PocketMol: A Molecular Visualization Tool for the PocketPC (short paper).. 11–14. 1 indexed citations
18.
Gilder, Jason R., Michael L. Raymer, & Travis E. Doom. (2001). PocketMol: a molecular visualization tool for the Pocket PC. Journal of Bioresource Management. 11–14. 3 indexed citations
19.
Doom, Travis E., et al.. (1998). Design recovery for combinational logic exploiting boolean relationships. 3 indexed citations
20.
Doom, Travis E., et al.. (1996). Beyond RISC - The Post-RISC Architecture. Journal of Bioresource Management. 3 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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