David S. Matteson

3.1k total citations
78 papers, 1.6k citations indexed

About

David S. Matteson is a scholar working on Statistics and Probability, Economics and Econometrics and Finance. According to data from OpenAlex, David S. Matteson has authored 78 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 13 papers in Economics and Econometrics and 10 papers in Finance. Recurrent topics in David S. Matteson's work include Statistical Methods and Inference (10 papers), Financial Risk and Volatility Modeling (9 papers) and Spatial and Panel Data Analysis (6 papers). David S. Matteson is often cited by papers focused on Statistical Methods and Inference (10 papers), Financial Risk and Volatility Modeling (9 papers) and Spatial and Panel Data Analysis (6 papers). David S. Matteson collaborates with scholars based in United States, Norway and United Kingdom. David S. Matteson's co-authors include Nicholas A. James, Shane G. Henderson, Dawn B. Woodard, Ruey S. Tsay, David Ruppert, Zhengyi Zhou, Edgar Huitema, Patrick H. Viollier, Sunish Kumar Radhakrishnan and Binh Tang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David S. Matteson

68 papers receiving 1.5k citations

Peers

David S. Matteson
Joe Whittaker United Kingdom
Iain L. MacDonald South Africa
Andrew A. Neath United States
Christophe Biernacki France
Steven L. Scott United States
Ashish Sen United States
Anja Struyf Belgium
Clifford H. Spiegelman United States
Chao Gao China
James G. Scott United States
Joe Whittaker United Kingdom
David S. Matteson
Citations per year, relative to David S. Matteson David S. Matteson (= 1×) peers Joe Whittaker

Countries citing papers authored by David S. Matteson

Since Specialization
Citations

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

Fields of papers citing papers by David S. Matteson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Matteson. 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 David S. Matteson. The network helps show where David S. Matteson may publish in the future.

Co-authorship network of co-authors of David S. Matteson

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Matteson. A scholar is included among the top collaborators of David S. Matteson 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 David S. Matteson. David S. Matteson 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.
Lee, Denise, Akhil Vaid, Robert Freeman, et al.. (2025). Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study. JMIR Formative Research. 9. e64544–e64544.
2.
Yang, Yanjun, Bo Tao, Alex C. Ruane, et al.. (2025). Widespread Advances in Corn and Soybean Phenology in Response to Future Climate Change Across the United States. Journal of Geophysical Research Biogeosciences. 130(4). 2 indexed citations
3.
4.
Matteson, David S., et al.. (2025). Vector AutoRegressive Moving Average Models: A Review. Wiley Interdisciplinary Reviews Computational Statistics. 17(1). e70009–e70009. 3 indexed citations
5.
Ru, Yating, et al.. (2025). Microlevel structural poverty estimates for southern and eastern Africa. Proceedings of the National Academy of Sciences. 122(6). e2410350122–e2410350122.
6.
Matteson, David S., et al.. (2024). Drift versus Shift: Decoupling Trends and Changepoint Analysis. Technometrics. 67(1). 23–31. 1 indexed citations
7.
Sherman, Mila Getmansky, et al.. (2023). Addressing the Embeddability Problem in Transition Rate Estimation. The Journal of Physical Chemistry A. 127(27). 5745–5759. 1 indexed citations
8.
Serneels, Sven, et al.. (2023). Non-Fungible Token Transactions: Data and Challenges. 2(1). 15 indexed citations
9.
Matteson, David S., et al.. (2023). Spatial correlation in weather forecast accuracy: a functional time series approach. Computational Statistics. 38(3). 1215–1229. 2 indexed citations
10.
11.
Manzorro, Ramón, Joshua Vincent, Binh Tang, et al.. (2022). Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Transactions on Computational Imaging. 8. 585–597. 26 indexed citations
12.
Wang, Lan, et al.. (2022). Analysis of animal-related electric outages using species distribution models and community science data. 1(1). 11004–11004. 5 indexed citations
13.
Tang, Binh & David S. Matteson. (2021). Probabilistic Transformer For Time Series Analysis. Neural Information Processing Systems. 34. 20 indexed citations
14.
Zhang, Lin, et al.. (2021). AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Mining and Knowledge Discovery. 35(5). 1882–1905. 6 indexed citations
15.
Wagner, Aaron B., Elaine Hill, Ziteng Sun, et al.. (2020). Social distancing merely stabilized COVID‐19 in the United States. Stat. 9(1). e302–e302. 20 indexed citations
16.
17.
Wilms, Ines, Sumanta Basu, Jacob Bien, & David S. Matteson. (2017). Sparse Identification and Estimation of High-Dimensional Vector AutoRegressive Moving Averages. arXiv (Cornell University). 2 indexed citations
18.
Matteson, David S., et al.. (2016). Gaussian Processes for Functional Autoregression. arXiv (Cornell University). 1 indexed citations
19.
Risk, Benjamin B., David S. Matteson, R. Nathan Spreng, & David Ruppert. (2016). Spatiotemporal mixed modeling of multi-subject task fMRI via method of moments. NeuroImage. 142. 280–292. 7 indexed citations
20.
Huitema, Edgar, et al.. (2006). Bacterial Birth Scar Proteins Mark Future Flagellum Assembly Site. Cell. 124(5). 1025–1037. 161 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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