William Seffens

582 total citations
21 papers, 437 citations indexed

About

William Seffens is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, William Seffens has authored 21 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in William Seffens's work include RNA and protein synthesis mechanisms (6 papers), Machine Learning in Bioinformatics (4 papers) and Human Pose and Action Recognition (3 papers). William Seffens is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Machine Learning in Bioinformatics (4 papers) and Human Pose and Action Recognition (3 papers). William Seffens collaborates with scholars based in United States, China and Canada. William Seffens's co-authors include Ziyu Shao, Walter Mulbry, R. M. Behki, Gilbert White, Concepción Almoguera, H. Dayton Wilde, Terry L. Thomas, Felix Aikhionbare, Xuebiao Yao and Edward E. Partridge and has published in prestigious journals such as Science, Nucleic Acids Research and PLoS ONE.

In The Last Decade

William Seffens

20 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Seffens United States 11 265 55 40 34 30 21 437
Sicong Li China 10 179 0.7× 63 1.1× 20 0.5× 29 0.9× 23 0.8× 31 412
Shannon Bell United States 13 206 0.8× 89 1.6× 23 0.6× 13 0.4× 41 1.4× 21 531
Antonino Fiannaca Italy 14 338 1.3× 23 0.4× 10 0.3× 19 0.6× 106 3.5× 37 471
Brian E. Howard United States 10 194 0.7× 80 1.5× 19 0.5× 6 0.2× 35 1.2× 16 567
Zhou China 12 207 0.8× 57 1.0× 6 0.1× 28 0.8× 66 2.2× 118 503
Adriano Velasque Werhli Brazil 14 547 2.1× 17 0.3× 14 0.3× 42 1.2× 15 0.5× 40 750
Limin Zhang China 14 58 0.2× 71 1.3× 16 0.4× 109 3.2× 8 0.3× 35 500
Florence Vinson France 9 351 1.3× 111 2.0× 27 0.7× 25 0.7× 117 3.9× 15 651
Rajesh Chowdhary United States 12 200 0.8× 74 1.3× 68 1.7× 35 1.0× 19 0.6× 25 387
Chaoyang Zhang United States 14 496 1.9× 46 0.8× 8 0.2× 73 2.1× 48 1.6× 43 651

Countries citing papers authored by William Seffens

Since Specialization
Citations

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

Fields of papers citing papers by William Seffens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Seffens

This figure shows the co-authorship network connecting the top 25 collaborators of William Seffens. A scholar is included among the top collaborators of William Seffens 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 William Seffens. William Seffens 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.
Seffens, William, et al.. (2018). Machine learning gesture analysis of yoga for exergame development. IET Cyber-Physical Systems Theory & Applications. 3(2). 106–110. 17 indexed citations
2.
Seffens, William, et al.. (2017). Gesture Analysis for Yoga Alignment in Young Adults. Medicine & Science in Sports & Exercise. 49(5S). 33–33. 1 indexed citations
3.
Seffens, William. (2017). Anomalous Diffusion within the Transcriptome as a Bio-Inspired Computing Framework for Resilience. Computation. 5(3). 32–32. 1 indexed citations
4.
Seffens, William, et al.. (2016). Gesture Analysis For Yoga Alignment. Medicine & Science in Sports & Exercise. 48. 786–786. 1 indexed citations
5.
Seffens, William, et al.. (2016). Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome. International Journal of Molecular Sciences. 17(6). 830–830. 3 indexed citations
6.
Seffens, William, et al.. (2015). Machine Learning Data Imputation and Classification in a Multicohort Hypertension Clinical Study. Bioinformatics and Biology Insights. 9s3(Suppl 3). BBI.S29473–BBI.S29473. 14 indexed citations
7.
Seffens, William, et al.. (2015). Kinect Acquisition of Skeleton Body Positions during Yoga and Tai Chi for Exergame Development. Medicine & Science in Sports & Exercise. 47(5S). 162–162. 2 indexed citations
8.
Lu, Huan, Qun Zhao, Hao Jiang, et al.. (2014). Characterization of Ring-Like F-Actin Structure as a Mechanical Partner for Spindle Positioning in Mitosis. PLoS ONE. 9(10). e102547–e102547. 12 indexed citations
9.
Partridge, Edward E., et al.. (2014). Oxidatively Modified Proteins in the Serous Subtype of Ovarian Carcinoma. BioMed Research International. 2014. 1–7. 10 indexed citations
10.
Yoo, Jaewook, et al.. (2006). Whole transcriptome mRNA secondary structure analysis using distributed computation. 138. 647–650. 2 indexed citations
11.
Seffens, William. (2003). Graph Theory Patterns in the Genetic Codes. Forma. 17(4). 309–320. 1 indexed citations
12.
Seffens, William, et al.. (2002). RUNS OF AMINO ACIDS ARE LONGER THAN EXPECTED IN PROTEINS BASED ON A GRAPH THEORY REPRESENTATION OF THE GENETIC CODE. Journal of Biological Systems. 10(4). 319–335. 1 indexed citations
13.
Seffens, William, et al.. (2000). Fitness function analysis of biological genetic codes using an evolutionary algorithm. Genetic and Evolutionary Computation Conference. 867–867.
14.
Seffens, William, et al.. (1999). Evolutionary algorithm analysis of the biological genetic codes. Genetic and Evolutionary Computation Conference. 64. 1440–1440. 2 indexed citations
15.
Seffens, William. (1999). mRNAs have greater negative folding free energies than shuffled or codon choice randomized sequences. Nucleic Acids Research. 27(7). 1578–1584. 166 indexed citations
16.
Seffens, William. (1999). Order From Chaos. Science. 285(5431). 1228–1228. 66 indexed citations
17.
Seffens, William, et al.. (1998). Using a neural network to backtranslate amino acid sequences. Electronic Journal of Biotechnology. 1(3). 17–18. 13 indexed citations
18.
White, Gilbert & William Seffens. (1998). Using a neural network to backtranslate amino acid sequences. Electronic Journal of Biotechnology. 1(2). 196–201. 18 indexed citations
19.
20.
Seffens, William, et al.. (1990). Molecular analysis of a phylogenetically conserved carrot gene: Developmental and environmental regulation. Developmental Genetics. 11(1). 65–76. 39 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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