Russell Zaretzki

997 total citations
34 papers, 641 citations indexed

About

Russell Zaretzki is a scholar working on Molecular Biology, Information Systems and Information Systems and Management. According to data from OpenAlex, Russell Zaretzki has authored 34 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Russell Zaretzki's work include Software Engineering Research (5 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). Russell Zaretzki is often cited by papers focused on Software Engineering Research (5 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). Russell Zaretzki collaborates with scholars based in United States, China and Germany. Russell Zaretzki's co-authors include Li He, Hairong Qi, Michael A. Gilchrist, William M. Briggs, Audris Mockus, Christopher Bogart, Chad W. Autry, Premal Shah, T. Russell Crook and Stephen H. Richards and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Genetics.

In The Last Decade

Russell Zaretzki

33 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell Zaretzki United States 14 152 99 94 81 70 34 641
Mika Rautiainen Finland 11 201 1.3× 108 1.1× 28 0.3× 30 0.4× 6 0.1× 36 742
Shahreen Kasim Malaysia 16 134 0.9× 244 2.5× 35 0.4× 91 1.1× 12 0.2× 142 899
Xin An China 11 73 0.5× 44 0.4× 20 0.2× 69 0.9× 19 0.3× 34 644
Tjeng Wawan Cenggoro Indonesia 21 177 1.2× 95 1.0× 41 0.4× 70 0.9× 7 0.1× 70 1.0k
Olusegun Folorunso Nigeria 13 231 1.5× 156 1.6× 85 0.9× 11 0.1× 16 0.2× 77 959
David Mease United States 9 83 0.5× 100 1.0× 14 0.1× 16 0.2× 14 0.2× 15 652
Telecommunications Board 13 64 0.4× 88 0.9× 43 0.5× 8 0.1× 5 0.1× 26 601
Wenjun Wang China 14 105 0.7× 111 1.1× 14 0.1× 35 0.4× 12 0.2× 122 757
Pip Laurenson United Kingdom 5 85 0.6× 228 2.3× 16 0.2× 36 0.4× 11 0.2× 11 908
Maqbool Khan China 13 69 0.5× 136 1.4× 33 0.4× 22 0.3× 10 0.1× 50 637

Countries citing papers authored by Russell Zaretzki

Since Specialization
Citations

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

Fields of papers citing papers by Russell Zaretzki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell Zaretzki

This figure shows the co-authorship network connecting the top 25 collaborators of Russell Zaretzki. A scholar is included among the top collaborators of Russell Zaretzki 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 Russell Zaretzki. Russell Zaretzki 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.
Mockus, Audris, et al.. (2023). How R Developers explain their Package Choice: A Survey. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 54. 1–12.
2.
Wang, Yuyan, et al.. (2023). Loan default prediction using a credit rating-specific and multi-objective ensemble learning scheme. Information Sciences. 629. 599–617. 28 indexed citations
3.
4.
Odoi, Evah W., et al.. (2020). Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida. Journal of the American Heart Association. 9(11). e012712–e012712. 9 indexed citations
5.
Landerer, Cedric, Brian C. O’Meara, Russell Zaretzki, & Michael A. Gilchrist. (2020). Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model. BMC Evolutionary Biology. 20(1). 109–109. 4 indexed citations
6.
Mockus, Audris, et al.. (2020). ALFAA: Active Learning Fingerprint based Anti-Aliasing for correcting developer identity errors in version control systems. Empirical Software Engineering. 25(2). 1136–1167. 18 indexed citations
7.
Bogart, Christopher, et al.. (2019). World of Code: An Infrastructure for Mining the Universe of Open Source VCS Data. 143–154. 47 indexed citations
8.
Landerer, Cedric, et al.. (2018). AnaCoDa: analyzing codon data with Bayesian mixture models. Bioinformatics. 34(14). 2496–2498. 9 indexed citations
9.
Yang, Hongtai, Christopher Cherry, Russell Zaretzki, et al.. (2016). A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit. Journal of Advanced Transportation. 50(8). 1770–1784. 27 indexed citations
10.
Gilchrist, Michael A., Wei-Chen Chen, Premal Shah, Cedric Landerer, & Russell Zaretzki. (2015). Estimating Gene Expression and Codon-Specific Translational Efficiencies, Mutation Biases, and Selection Coefficients from Genomic Data Alone ‡. Genome Biology and Evolution. 7(6). 1559–1579. 25 indexed citations
11.
Young, Timothy M., et al.. (2015). Predicting and Correlating the Strength Properties of Wood Composite Process Parameters by Use of Boosted Regression Tree Models. Forest Products Journal. 65(7-8). 365–371. 18 indexed citations
12.
Mathias, Blake D., Sean Lux, T. Russell Crook, Chad W. Autry, & Russell Zaretzki. (2014). Competing Against the Unknown: The Impact of Enabling and Constraining Institutions on the Informal Economy. Journal of Business Ethics. 127(2). 251–264. 64 indexed citations
13.
He, Li, Hairong Qi, & Russell Zaretzki. (2014). Image color transfer to evoke different emotions based on color combinations. Signal Image and Video Processing. 9(8). 1965–1973. 37 indexed citations
14.
Jiang, Ximiao, Baoshan Huang, Russell Zaretzki, Stephen H. Richards, & Xuedong Yan. (2013). Estimating Safety Effects of Pavement Management Factors Utilizing Bayesian Random Effect Models. Traffic Injury Prevention. 14(7). 766–775. 8 indexed citations
15.
Jiang, Ximiao, Baoshan Huang, Russell Zaretzki, et al.. (2013). Investigating the influence of curbs on single-vehicle crash injury severity utilizing zero-inflated ordered probit models. Accident Analysis & Prevention. 57. 55–66. 46 indexed citations
16.
Jiang, Ximiao, Baoshan Huang, Xuedong Yan, Russell Zaretzki, & Stephen H. Richards. (2012). Two-Vehicle Injury Severity Models Based on Integration of Pavement Management and Traffic Engineering Factors. Traffic Injury Prevention. 14(5). 544–553. 18 indexed citations
17.
Young, Timothy M., et al.. (2011). Logistic regression models of factors influencing the location of bioenergy and biofuels plants. SHILAP Revista de lepidopterología. 6(1). 329–343. 1 indexed citations
18.
Armagan, Artin & Russell Zaretzki. (2010). Model selection via adaptive shrinkage with t priors. Computational Statistics. 25(3). 441–461. 8 indexed citations
19.
Armagan, Artin & Russell Zaretzki. (2010). A note on mean-field variational approximations in Bayesian probit models. Computational Statistics & Data Analysis. 55(1). 641–643. 4 indexed citations
20.
Briggs, William M. & Russell Zaretzki. (2009). A new look at inference for the Hypergeometric Distribution.. 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 Mika Rautiainen Breakdown of academic impact, for papers by Shahreen Kasim Breakdown of academic impact, for papers by Xin An Breakdown of academic impact, for papers by Tjeng Wawan Cenggoro Breakdown of academic impact, for papers by Olusegun Folorunso Breakdown of academic impact, for papers by David Mease Breakdown of academic impact, for papers by Telecommunications Board Breakdown of academic impact, for papers by Wenjun Wang Breakdown of academic impact, for papers by Pip Laurenson Breakdown of academic impact, for papers by Maqbool Khan
Rankless by CCL
2026