Daniel J. McDonald

1.1k total citations
32 papers, 188 citations indexed

About

Daniel J. McDonald is a scholar working on Statistics and Probability, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Daniel J. McDonald has authored 32 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Molecular Biology. Recurrent topics in Daniel J. McDonald's work include Statistical Methods and Inference (6 papers), Botanical Research and Chemistry (5 papers) and Insect and Pesticide Research (5 papers). Daniel J. McDonald is often cited by papers focused on Statistical Methods and Inference (6 papers), Botanical Research and Chemistry (5 papers) and Insect and Pesticide Research (5 papers). Daniel J. McDonald collaborates with scholars based in United States and Canada. Daniel J. McDonald's co-authors include Daniel L. Thornton, Gabriel E. Zentner, Lei Ding, Robert A. Policastro, Volker Brendel, Cynthia Quan, James Sharpnack, Valérie Ventura, Jingjing Tang and Amanda F. Mejia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Daniel J. McDonald

29 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. McDonald United States 8 44 24 21 20 18 32 188
K. Bellmann Germany 8 42 1.0× 19 0.8× 14 0.7× 30 1.5× 8 0.4× 41 244
Yihui Xie China 6 56 1.3× 21 0.9× 10 0.5× 12 0.6× 2 0.1× 14 293
Thomas R. Kiffe United States 13 42 1.0× 34 1.4× 59 2.8× 80 4.0× 4 0.2× 27 331
María José Gómez‐Torres Spain 14 65 1.5× 15 0.6× 19 0.9× 52 2.6× 4 0.2× 52 716
Ci‐Ren Jiang Taiwan 9 99 2.3× 127 5.3× 8 0.4× 14 0.7× 17 0.9× 14 321
Magnus Wiktorsson Sweden 9 20 0.5× 21 0.9× 36 1.7× 25 1.3× 21 325
P. Narain India 11 36 0.8× 6 0.3× 31 1.5× 117 5.8× 5 0.3× 81 404
Maurice Whittinghill United States 7 55 1.3× 61 2.5× 20 1.0× 36 1.8× 15 305
Johan Ferreira South Africa 10 21 0.5× 32 1.3× 8 0.4× 60 3.0× 3 0.2× 44 397
Manfred Kühleitner Austria 9 103 2.3× 9 0.4× 2 0.1× 25 1.3× 13 0.7× 30 285

Countries citing papers authored by Daniel J. McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. McDonald. 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 Daniel J. McDonald. The network helps show where Daniel J. McDonald may publish in the future.

Co-authorship network of co-authors of Daniel J. McDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. McDonald. A scholar is included among the top collaborators of Daniel J. McDonald 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 Daniel J. McDonald. Daniel J. McDonald 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.
Srivastava, Ajitesh, et al.. (2025). Incident COVID-19 infections before Omicron in the U.S.. Epidemics. 52. 100838–100838.
2.
Sharpnack, James, et al.. (2024). Exponential family trend filtering on lattices. Electronic Journal of Statistics. 18(1). 1 indexed citations
3.
Vinci‐Booher, Sophia, et al.. (2024). Associative white matter tracts selectively predict sensorimotor learning. Communications Biology. 7(1). 762–762. 2 indexed citations
4.
Liang, Xiaoxuan, Aaron J. Cohen, Anibal Sólon Heinsfeld, Franco Pestilli, & Daniel J. McDonald. (2024). sparsegl: An R Package for Estimating Sparse Group Lasso. Journal of Statistical Software. 110(6). 3 indexed citations
5.
Gustafson, Paul, et al.. (2024). rtestim: Time-varying reproduction number estimation with trend filtering. PLoS Computational Biology. 20(8). e1012324–e1012324. 2 indexed citations
6.
McDonald, Daniel J., et al.. (2023). Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing. NeuroImage. 270. 119972–119972. 11 indexed citations
7.
McDonald, Daniel J., Jacob Bien, Alden Green, et al.. (2021). Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction?. Proceedings of the National Academy of Sciences. 118(51). 22 indexed citations
8.
Policastro, Robert A., Daniel J. McDonald, Volker Brendel, & Gabriel E. Zentner. (2021). Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR. NAR Genomics and Bioinformatics. 3(2). lqab051–lqab051. 13 indexed citations
9.
McDonald, Daniel J., et al.. (2019). Markov-switching State Space Models for Uncovering Musical Interpretation. arXiv (Cornell University). 1 indexed citations
10.
Ding, Lei & Daniel J. McDonald. (2017). Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression. Bioinformatics. 33(14). i350–i358. 2 indexed citations
11.
McDonald, Daniel J., et al.. (2016). On the Nyström and Column-Sampling Methods for the Approximate Principal Components Analysis of Large Datasets. Journal of Computational and Graphical Statistics. 25(2). 344–362. 9 indexed citations
12.
Quan, Cynthia, et al.. (2009). The effect of low intensity ultraviolet‐C light on monoclonal antibodies. Biotechnology Progress. 25(2). 476–482. 19 indexed citations
13.
McDonald, Daniel J. & Daniel L. Thornton. (2008). A Primer on the Mortgage Market and Mortgage Finance. 90(1). 11 indexed citations
14.
McDonald, Daniel J.. (1968). The Response of Tribolium Confusum to Variations in the Volume of Its Environment. Ecology. 49(6). 1166–1168. 6 indexed citations
15.
McDonald, Daniel J., et al.. (1968). Population Fitness in Tribolium. II. Population Characteristics Influencing the Capacity for Survival. The American Naturalist. 102(926). 323–336. 7 indexed citations
16.
McDonald, Daniel J., et al.. (1965). Population Fitness in Tribolium. I. An Approach to the Problem. The American Naturalist. 99(909). 463–470. 7 indexed citations
17.
McDonald, Daniel J., et al.. (1961). Natural selection in experimental populations of Tribolium. Heredity. 16(3). 317–330. 9 indexed citations
18.
McDonald, Daniel J., et al.. (1960). NATURAL SELECTION IN EXPERIMENTAL POPULATIONS OF TRIBOLIUM. Genetics. 45(10). 1317–1333. 4 indexed citations
19.
McDonald, Daniel J., et al.. (1958). A Comparison of Productivity in a Mutant and Wild Strain of Tribolium castaneum Herbst. The American Naturalist. 92(867). 376–378. 2 indexed citations
20.
McDonald, Daniel J.. (1951). The Interaction of a Minute Mutation with a Sex-linked Lethal of Drosophila Melanogaster. Proceedings of the National Academy of Sciences. 37(12). 802–804. 2 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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