Nate Barney

797 total citations
5 papers, 594 citations indexed

About

Nate Barney is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Nate Barney has authored 5 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Genetics. Recurrent topics in Nate Barney's work include Evolutionary Algorithms and Applications (3 papers), Gene Regulatory Network Analysis (3 papers) and Genetic Associations and Epidemiology (2 papers). Nate Barney is often cited by papers focused on Evolutionary Algorithms and Applications (3 papers), Gene Regulatory Network Analysis (3 papers) and Genetic Associations and Epidemiology (2 papers). Nate Barney collaborates with scholars based in United States and Taiwan. Nate Barney's co-authors include Jason H. Moore, Bill C. White, Chia‐Ti Tsai, Fu‐Tien Chiang, Joshua C. Gilbert, Todd Holden, Jiang Gui, Angeline S. Andrew, Heather H. Nelson and Margaret R. Karagas and has published in prestigious journals such as Journal of Theoretical Biology, Genetic Epidemiology and Human Heredity.

In The Last Decade

Nate Barney

5 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nate Barney United States	4	341	289	37	35	34	5	594
Joshua C. Gilbert United States	4	312 0.9×	247 0.9×	35 0.9×	31 0.9×	31 0.9×	4	535
Nadia M. Penrod United States	9	323 0.9×	203 0.7×	65 1.8×	32 0.9×	51 1.5×	15	597
Xiangqun Zheng-Bradley United Kingdom	9	400 1.2×	275 1.0×	64 1.7×	41 1.2×	82 2.4×	11	719
Murray H. Brilliant United States	17	398 1.2×	302 1.0×	82 2.2×	63 1.8×	31 0.9×	38	987
Ghislain Rocheleau United States	12	215 0.6×	379 1.3×	31 0.8×	24 0.7×	39 1.1×	35	720
Abu Z M Dayem Ullah United Kingdom	9	254 0.7×	170 0.6×	41 1.1×	42 1.2×	93 2.7×	22	522
Demis A. Kia United Kingdom	7	377 1.1×	113 0.4×	38 1.0×	64 1.8×	68 2.0×	10	695
Brendan Vaughan United Kingdom	4	399 1.2×	183 0.6×	23 0.6×	34 1.0×	64 1.9×	4	601
Younhee Ko South Korea	13	322 0.9×	111 0.4×	95 2.6×	52 1.5×	28 0.8×	35	625
José M. G. Izarzugaza Denmark	19	490 1.4×	157 0.5×	109 2.9×	61 1.7×	118 3.5×	32	892

Countries citing papers authored by Nate Barney

Since Specialization

Citations

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

Fields of papers citing papers by Nate Barney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nate Barney

This figure shows the co-authorship network connecting the top 25 collaborators of Nate Barney. A scholar is included among the top collaborators of Nate Barney 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 Nate Barney. Nate Barney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

White, Bill C., Nate Barney, Jiang Gui, et al.. (2008). A computationally efficient hypothesis testing method for epistasis analysis using multifactor dimensionality reduction. Genetic Epidemiology. 33(1). 87–94. 67 indexed citations

2.

Urbanowicz, Ryan J., Nate Barney, Bill C. White, & Jason H. Moore. (2008). Mask functions for the symbolic modeling of epistasis using genetic programming. PubMed. 2008. 339–346. 2 indexed citations

3.

Moore, Jason H., Nate Barney, Chia‐Ti Tsai, et al.. (2007). Symbolic Modeling of Epistasis. Human Heredity. 63(2). 120–133. 30 indexed citations

4.

McKinney, Brett A., James E. Crowe, Henning U. Voss, et al.. (2006). Hybrid grammar-based approach to nonlinear dynamical system identification from biological time series. Physical Review E. 73(2). 21912–21912. 12 indexed citations

5.

Moore, Jason H., Joshua C. Gilbert, Chia‐Ti Tsai, et al.. (2006). A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of Theoretical Biology. 241(2). 252–261. 483 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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