Dirk Eddelbuettel

3.5k total citations · 2 hit papers
33 papers, 1.9k citations indexed

About

Dirk Eddelbuettel is a scholar working on Artificial Intelligence, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Dirk Eddelbuettel has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Information Systems and Management and 6 papers in Computer Networks and Communications. Recurrent topics in Dirk Eddelbuettel's work include Scientific Computing and Data Management (12 papers), Data Analysis with R (11 papers) and Distributed and Parallel Computing Systems (5 papers). Dirk Eddelbuettel is often cited by papers focused on Scientific Computing and Data Management (12 papers), Data Analysis with R (11 papers) and Distributed and Parallel Computing Systems (5 papers). Dirk Eddelbuettel collaborates with scholars based in United States, China and Australia. Dirk Eddelbuettel's co-authors include Romain François, Conrad Sanderson, James Balamuta, Douglas M. Bates, Hao Yu, Ulrich Mansmann, Martin Morgan, Luke Tierney, Mohammad Z. Al‐Hamdan and William L. Crosson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Health Perspectives and Journal of Statistical Software.

In The Last Decade

Dirk Eddelbuettel

28 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rcpp: SeamlessRandC++Integration

2011 850 citations Dirk Eddelbuettel et al. Journal of Statistical Software profile →
Seamless R and C++ Integration with Rcpp

2013 263 citations Dirk Eddelbuettel CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dirk Eddelbuettel United States	13	496	422	305	201	201	33	1.9k
Dianne Cook United States	31	983 2.0×	464 1.1×	435 1.4×	180 0.9×	115 0.6×	147	3.3k
Alexander J. Collins United Kingdom	9	257 0.5×	356 0.8×	185 0.6×	134 0.7×	140 0.7×	16	2.5k
Jim Q. Smith United Kingdom	17	570 1.1×	485 1.1×	202 0.7×	188 0.9×	127 0.6×	62	1.7k
Christian Hennig United Kingdom	27	935 1.9×	433 1.0×	265 0.9×	195 1.0×	140 0.7×	73	3.0k
Merlise A. Clyde United States	23	657 1.3×	992 2.4×	202 0.7×	202 1.0×	265 1.3×	53	2.7k
George Casella United States	3	638 1.3×	992 2.4×	313 1.0×	216 1.1×	328 1.6×	4	3.9k
Andrew A. Neath United States	11	392 0.8×	550 1.3×	125 0.4×	87 0.4×	177 0.9×	31	2.3k
Anders Brix United Kingdom	14	416 0.8×	536 1.3×	150 0.5×	114 0.6×	395 2.0×	23	2.8k
Mary Kathryn Cowles United States	22	653 1.3×	1.0k 2.4×	147 0.5×	180 0.9×	344 1.7×	45	3.3k
Maria L. Rizzo United States	18	678 1.4×	782 1.9×	395 1.3×	93 0.5×	204 1.0×	30	2.7k

Countries citing papers authored by Dirk Eddelbuettel

Since Specialization

Citations

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

Fields of papers citing papers by Dirk Eddelbuettel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Eddelbuettel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Eddelbuettel, Dirk, et al.. (2024). Polly: An R package for genotyping microsatellites and detecting highly polymorphic DNA markers from short‐read data. Molecular Ecology Resources. 24(4). e13933–e13933.

2.

Curtin, Ryan R., et al.. (2023). mlpack 4: a fast, header-only C++ machine learninglibrary. The Journal of Open Source Software. 8(82). 5026–5026. 12 indexed citations

3.

Eddelbuettel, Dirk, et al.. (2022). Creating Algorithmically Generated Questions Using a Modern, Open-sourced, Online Platform. 1177–1177. 1 indexed citations

4.

Eddelbuettel, Dirk. (2021). CRAN Task View: Empirical Finance.

5.

Anderson, G. Brooke, Mohammad Z. Al‐Hamdan, William L. Crosson, et al.. (2020). Assessing United States County-Level Exposure for Research on Tropical Cyclones and Human Health. Environmental Health Perspectives. 128(10). 107009–107009. 24 indexed citations

6.

Eddelbuettel, Dirk, et al.. (2019). RcppMsgPack: MessagePack Headers and Interface Functions for R. The R Journal. 10(2). 516–516. 3 indexed citations

7.

Nüst, Daniel, Carl Boettiger, & Dirk Eddelbuettel. (2018). rocker/geospatial : a flexible runtime environment for geoscientific data analysis. EGUGA. 8500. 1 indexed citations

8.

Eddelbuettel, Dirk & James Balamuta. (2017). Extending R with C++ : A Brief Introduction to Rcpp. 42 indexed citations

9.

Eddelbuettel, Dirk & James Balamuta. (2017). Extending R with C++: A Brief Introduction to Rcpp. The American Statistician. 72(1). 28–36. 105 indexed citations

10.

Eddelbuettel, Dirk, et al.. (2017). Hosting Data Packages via drat: A Case Study with Hurricane Exposure Data. The R Journal. 9(1). 486–486. 5 indexed citations

11.

Eddelbuettel, Dirk, et al.. (2016). RcppCNPy: Read-Write Support for NumPy Files in R. The Journal of Open Source Software. 1(5). 55–55. 2 indexed citations

12.

Eddelbuettel, Dirk & Conrad Sanderson. (2013). RcppArmadillo: Accelerating R with high-performance C++ linear algebra. Computational Statistics & Data Analysis. 71. 1054–1063. 284 indexed citations

13.

Eddelbuettel, Dirk. (2013). Seamless R and C++ Integration with Rcpp. CERN Document Server (European Organization for Nuclear Research). 263 indexed citations breakdown →

14.

Bates, Douglas M. & Dirk Eddelbuettel. (2013). Fast and Elegant Numerical Linear Algebra Using theRcppEigenPackage. Journal of Statistical Software. 52(5). 69 indexed citations

15.

Eddelbuettel, Dirk. (2012). Rfor Dummies. Journal of Statistical Software. 50(Book Review 1).

16.

Eddelbuettel, Dirk. (2012). Rin Action. Journal of Statistical Software. 46(Book Review 2). 54 indexed citations

17.

Eddelbuettel, Dirk. (2009). Applied Econometrics withR. Journal of Statistical Software. 29(Book Review 14). 1 indexed citations

18.

Eddelbuettel, Dirk. (2009). Analysis of Integrated and Cointegrated Time Series withR(2nd Edition). Journal of Statistical Software. 30(Book Review 5). 28 indexed citations

19.

Eddelbuettel, Dirk. (2003). Quantian: A scientific computing environment. 2 indexed citations

20.

Eddelbuettel, Dirk. (2000). Econometrics with Octave. Journal of Applied Econometrics. 15(5). 531–542. 8 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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