Andrew Thrasher

944 total citations
10 papers, 94 citations indexed

About

Andrew Thrasher is a scholar working on Computer Networks and Communications, Information Systems and Management and Molecular Biology. According to data from OpenAlex, Andrew Thrasher has authored 10 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Information Systems and Management and 5 papers in Molecular Biology. Recurrent topics in Andrew Thrasher's work include Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (6 papers) and Advanced Data Storage Technologies (3 papers). Andrew Thrasher is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (6 papers) and Advanced Data Storage Technologies (3 papers). Andrew Thrasher collaborates with scholars based in United States and China. Andrew Thrasher's co-authors include Douglas Thain, Scott Emrich, Christopher Moretti, Li Yu, Kenneth L. Judd, Mark A. Olson, Jiyang Yu, Yuxin Li, Jesús A. Izaguirre and Junmin Peng and has published in prestigious journals such as Nature Communications, Genome biology and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Andrew Thrasher

10 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Thrasher United States	6	54	44	41	26	13	10	94
Matti Heikkurinen Germany	4	67 1.2×	33 0.8×	16 0.4×	27 1.0×	24 1.8×	7	99
Hurng-Chun Lee Taiwan	5	42 0.8×	24 0.5×	34 0.8×	18 0.7×	10 0.8×	5	80
Enol Fernández Spain	6	66 1.2×	38 0.9×	9 0.2×	37 1.4×	9 0.7×	28	95
Jorge Gomes Portugal	6	35 0.6×	30 0.7×	8 0.2×	31 1.2×	5 0.4×	17	76
Mark Santcroos Netherlands	7	66 1.2×	64 1.5×	10 0.2×	51 2.0×	6 0.5×	18	106
Erik Gafni United States	4	20 0.4×	32 0.7×	58 1.4×	15 0.6×	2 0.2×	6	110
Włodzimierz Funika Poland	5	67 1.2×	26 0.6×	6 0.1×	38 1.5×	11 0.8×	25	84
Daniel Mallmann Germany	6	75 1.4×	55 1.3×	5 0.1×	30 1.2×	11 0.8×	23	98
M. Fasel United States	3	63 1.2×	37 0.8×	5 0.1×	35 1.3×	12 0.9×	3	75
Dietmar W. Erwin Germany	3	59 1.1×	41 0.9×	6 0.1×	17 0.7×	19 1.5×	5	65

Countries citing papers authored by Andrew Thrasher

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Thrasher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Thrasher

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

All Works

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10 of 10 papers shown

1.

Dong, Xinran, Liang Ding, Andrew Thrasher, et al.. (2023). NetBID2 provides comprehensive hidden driver analysis. Nature Communications. 14(1). 2581–2581. 10 indexed citations

2.

Williams, Justin, Beisi Xu, Daniel K. Putnam, et al.. (2021). MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors. Genome biology. 22(1). 24–24. 7 indexed citations

3.

Thrasher, Andrew. (2017). Forecasting a Volatility Tsunami. SSRN Electronic Journal. 1 indexed citations

4.

Thrasher, Andrew, et al.. (2014). Scaling up genome annotation using MAKER and work queue. International Journal of Bioinformatics Research and Applications. 10(4/5). 447–447. 8 indexed citations

5.

Rajan, Deepu, et al.. (2013). Case Studies in Designing Elastic Applications. 290. 466–473. 4 indexed citations

6.

Moretti, Christopher, Andrew Thrasher, Li Yu, et al.. (2012). A Framework for Scalable Genome Assembly on Clusters, Clouds, and Grids. IEEE Transactions on Parallel and Distributed Systems. 23(12). 2189–2197. 15 indexed citations

7.

Thrasher, Andrew, et al.. (2012). Shifting the bioinformatics computing paradigm: A case study in parallelizing genome annotation using MAKER and Work Queue. 1–6. 4 indexed citations

8.

Thrasher, Andrew, et al.. (2011). Scripting distributed scientific workflows using Weaver. Concurrency and Computation Practice and Experience. 24(15). 1685–1707. 5 indexed citations

9.

Yu, Li, Christopher Moretti, Andrew Thrasher, et al.. (2010). Harnessing parallelism in multicore clusters with the All-Pairs, Wavefront, and Makeflow abstractions. Cluster Computing. 13(3). 243–256. 28 indexed citations

10.

Thrasher, Andrew, et al.. (2010). Taming complex bioinformatics workflows with weaver, makeflow, and starch. 287. 1–6. 12 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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