Tucker McElroy

1.1k total citations
104 papers, 718 citations indexed

About

Tucker McElroy is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Tucker McElroy has authored 104 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Economics and Econometrics, 30 papers in Finance and 29 papers in General Economics, Econometrics and Finance. Recurrent topics in Tucker McElroy's work include Complex Systems and Time Series Analysis (30 papers), Financial Risk and Volatility Modeling (30 papers) and Monetary Policy and Economic Impact (29 papers). Tucker McElroy is often cited by papers focused on Complex Systems and Time Series Analysis (30 papers), Financial Risk and Volatility Modeling (30 papers) and Monetary Policy and Economic Impact (29 papers). Tucker McElroy collaborates with scholars based in United States, United Kingdom and Spain. Tucker McElroy's co-authors include Dimitris N. Politis, Scott H. Holan, Silvia Bianconcini, Theodore Alexandrov, Estela Bee Dagum, Peter Maaß, Marc Wildi, Xuguang Simon Sheng, Thomas Trimbur and Scott Baker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and European Journal of Operational Research.

In The Last Decade

Tucker McElroy

95 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tucker McElroy United States 13 310 215 153 153 121 104 718
Siegfried Hörmann United States 18 388 1.3× 494 2.3× 127 0.8× 173 1.1× 66 0.5× 42 1.1k
Gregory Rice Canada 14 324 1.0× 288 1.3× 91 0.6× 89 0.6× 35 0.3× 41 675
Brian C. Monsell United States 7 207 0.7× 117 0.5× 179 1.2× 181 1.2× 41 0.3× 14 595
Estela Bee Dagum Italy 13 190 0.6× 62 0.3× 125 0.8× 164 1.1× 67 0.6× 43 580
Neville Davies United Kingdom 16 240 0.8× 230 1.1× 153 1.0× 126 0.8× 26 0.2× 63 878
Ashkan Nikeghbali Switzerland 17 254 0.8× 560 2.6× 60 0.4× 141 0.9× 87 0.7× 55 1.0k
D. S. Poskitt Australia 22 354 1.1× 319 1.5× 305 2.0× 148 1.0× 100 0.8× 67 1.2k
Garry D.A. Phillips United Kingdom 16 337 1.1× 188 0.9× 302 2.0× 143 0.9× 38 0.3× 67 1.0k
Somdeb Lahiri India 5 233 0.8× 181 0.8× 78 0.5× 115 0.8× 21 0.2× 68 777
Jens‐Peter Kreiß Germany 15 240 0.8× 469 2.2× 200 1.3× 78 0.5× 36 0.3× 46 969

Countries citing papers authored by Tucker McElroy

Since Specialization
Citations

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

Fields of papers citing papers by Tucker McElroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tucker McElroy

This figure shows the co-authorship network connecting the top 25 collaborators of Tucker McElroy. A scholar is included among the top collaborators of Tucker McElroy 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 Tucker McElroy. Tucker McElroy 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.
Chang, Jinyuan, et al.. (2025). Statistical Inference for High-Dimensional Spectral Density Matrix. Journal of the American Statistical Association. 120(551). 1960–1974.
2.
Lahiri, Soumendra N., et al.. (2025). Locally Stationary Spatial Processes. Sankhya A. 1 indexed citations
3.
McElroy, Tucker, et al.. (2024). Cycle Fluctuations in the U.S. Real GDP and National Income and Product Accounts Aggregates. Journal of Official Statistics. 40(4). 554–600.
4.
McElroy, Tucker, et al.. (2024). Modeling Survey Time Series Data with Flow-Observed CARMA Processes. Journal of Official Statistics. 40(4). 601–632.
5.
McElroy, Tucker, et al.. (2024). Applying the Expectation-Maximization Algorithm to Multivariate Signal Extraction. Journal of Official Statistics. 40(4). 660–684.
6.
McElroy, Tucker & Anindya Roy. (2023). Model identification via total Frobenius norm of multivariate spectra. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(2). 454–473. 1 indexed citations
7.
McElroy, Tucker, et al.. (2019). Establishing a common instantaneous center of rotation for the metatarso-phalangeal and metatarso-sesamoid joints: a theoretical geometric model based on specific morphometrics. Journal of Orthopaedic Surgery and Research. 14(1). 107–107. 5 indexed citations
8.
McElroy, Tucker. (2017). Recursive Computation for Block‐Nested Covariance Matrices. Journal of Time Series Analysis. 39(3). 299–312. 5 indexed citations
9.
Wildi, Marc & Tucker McElroy. (2016). Optimal Real-Time Filters for Linear Prediction Problems. 8(2). 155–192. 4 indexed citations
10.
Trimbur, Thomas & Tucker McElroy. (2016). Signal Extraction for Nonstationary Time Series with Diverse Sampling Rules. 9(1). 1 indexed citations
11.
McElroy, Tucker & Agustı́n Maravall. (2014). Optimal Signal Extraction with Correlated Components. 6(2). 237–273. 6 indexed citations
12.
McElroy, Tucker, et al.. (2012). First Metatarsophalangeal Joint Motion in Homo sapiens. Journal of the American Podiatric Medical Association. 102(5). 374–389. 3 indexed citations
13.
McElroy, Tucker & Marc Wildi. (2010). Signal Extraction Revision Variances as a Goodness-of-Fit Measure. 2(1). 3 indexed citations
14.
McElroy, Tucker, et al.. (2010). Radiographic Image Distortion Between the Distal Edge of the First Metatarsal and the Tibial Sesamoid. Journal of the American Podiatric Medical Association. 100(1). 1–9. 4 indexed citations
15.
Fitzsimmons, P. J. & Tucker McElroy. (2010). On Joint Fourier–Laplace Transforms. Communication in Statistics- Theory and Methods. 39(10). 1883–1885. 5 indexed citations
16.
McElroy, Tucker & David F. Findley. (2010). Selection between models through multi-step-ahead forecasting. Journal of Statistical Planning and Inference. 140(12). 3655–3675. 10 indexed citations
17.
McElroy, Tucker. (2008). Statistical Properties of Model-Based Signal Extraction Diagnostic Tests. Communication in Statistics- Theory and Methods. 37(4). 591–616. 11 indexed citations
18.
McElroy, Tucker, et al.. (2008). Finite sample revision variances for ARIMA model-based signal extraction. Journal of Official Statistics. 24(3). 451–467. 5 indexed citations
19.
McElroy, Tucker & Scott H. Holan. (2008). A local spectral approach for assessing time series model misspecification. Journal of Multivariate Analysis. 100(4). 604–621. 13 indexed citations
20.
McElroy, Tucker & Dimitris N. Politis. (2007). Stable marked point processes. The Annals of Statistics. 35(1). 5 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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