John P. Buonaccorsi

4.0k total citations
80 papers, 2.9k citations indexed

About

John P. Buonaccorsi is a scholar working on Statistics and Probability, Ecology and Insect Science. According to data from OpenAlex, John P. Buonaccorsi has authored 80 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 19 papers in Ecology and 15 papers in Insect Science. Recurrent topics in John P. Buonaccorsi's work include Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (17 papers) and Optimal Experimental Design Methods (10 papers). John P. Buonaccorsi is often cited by papers focused on Advanced Statistical Methods and Models (20 papers), Statistical Methods and Bayesian Inference (17 papers) and Optimal Experimental Design Methods (10 papers). John P. Buonaccorsi collaborates with scholars based in United States, Norway and Canada. John P. Buonaccorsi's co-authors include Joseph S. Elkinton, Greg Dwyer, Andrew M. Liebhold, John Staudenmayer, David I. King, Scott Evans, Mark T. Smith, H. R. Smith, William M. Healy and George H. Boettner and has published in prestigious journals such as Journal of the American Statistical Association, The Astrophysical Journal and Ecology.

In The Last Decade

John P. Buonaccorsi

80 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Buonaccorsi United States 26 961 571 522 489 378 80 2.9k
M. S. Ridout United Kingdom 31 1.9k 2.0× 781 1.4× 137 0.3× 494 1.0× 521 1.4× 119 4.4k
P. McCullagh United Kingdom 6 507 0.5× 594 1.0× 121 0.2× 410 0.8× 273 0.7× 6 2.8k
Uwe Ligges Germany 12 758 0.8× 430 0.8× 82 0.2× 545 1.1× 296 0.8× 41 3.2k
Ana F. Militino Spain 20 644 0.7× 327 0.6× 135 0.3× 472 1.0× 292 0.8× 65 2.4k
Jun Zhu United States 30 994 1.0× 256 0.4× 345 0.7× 366 0.7× 287 0.8× 143 3.2k
J. A. Nelder United Kingdom 4 464 0.5× 472 0.8× 107 0.2× 377 0.8× 250 0.7× 4 2.2k
Amaury Lambert France 27 1.5k 1.5× 132 0.2× 418 0.8× 694 1.4× 970 2.6× 102 4.6k
Marie Laure Delignette‐Muller France 31 612 0.6× 124 0.2× 166 0.3× 396 0.8× 312 0.8× 81 4.3k
Thomas W. Yee New Zealand 25 605 0.6× 442 0.8× 74 0.1× 495 1.0× 222 0.6× 48 3.2k
Richard Morton Australia 31 565 0.6× 167 0.3× 1.1k 2.0× 504 1.0× 964 2.6× 113 3.2k

Countries citing papers authored by John P. Buonaccorsi

Since Specialization
Citations

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

Fields of papers citing papers by John P. Buonaccorsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Buonaccorsi. 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 John P. Buonaccorsi. The network helps show where John P. Buonaccorsi may publish in the future.

Co-authorship network of co-authors of John P. Buonaccorsi

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Buonaccorsi. A scholar is included among the top collaborators of John P. Buonaccorsi 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 John P. Buonaccorsi. John P. Buonaccorsi 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.
Buonaccorsi, John P., et al.. (2022). Spatiotemporal gait changes in people with multiple sclerosis with different disease progression subtypes. Clinical Biomechanics. 100. 105818–105818. 1 indexed citations
2.
Lim, Jongil, John P. Buonaccorsi, Farnaz Khalighinejad, et al.. (2020). Rapid foot-tapping but not hand-tapping ability is different between relapsing-remitting and progressive multiple sclerosis. Multiple Sclerosis and Related Disorders. 41. 102031–102031. 5 indexed citations
3.
Buonaccorsi, John P., et al.. (2014). Physiological Integration Plays Key Role in Cranberry (Ericales: Ericaceae) for Tolerance of Damage byDasineura oxycoccana(Diptera: Cecidomyiidae). Environmental Entomology. 43(1). 75–82. 3 indexed citations
4.
Buonaccorsi, John P., et al.. (2013). Impact of Early Season Apical Meristem Injury by Gall Inducing Tipworm (Diptera: Cecidomyiidae) on Reproductive and Vegetative Growth of Cranberry. Journal of Economic Entomology. 106(3). 1339–1348. 10 indexed citations
5.
Buonaccorsi, John P., Petter Laake, & Marit B. Veierød. (2011). On the power of the Cochran–Armitage test for trend in the presence of misclassification. Statistical Methods in Medical Research. 23(3). 218–243. 20 indexed citations
6.
Buonaccorsi, John P.. (2010). Measurement Error. 281 indexed citations
7.
King, David I., et al.. (2008). Decline of a New Hampshire Bicknell's Thrush Population, 1993–2003. Northeastern Naturalist. 15(4). 607–618. 13 indexed citations
8.
King, David I., et al.. (2007). Avian population trends in the vulnerable montane forests of the Northern Appalachians, USA. Biodiversity and Conservation. 17(11). 2691–2700. 26 indexed citations
9.
Buonaccorsi, John P., et al.. (2006). Modeling observation error and its effects in a random walk/extinction model. Theoretical Population Biology. 70(3). 322–335. 5 indexed citations
10.
Buonaccorsi, John P., Petter Laake, & Marit B. Veierød. (2005). On the Effect of Misclassification on Bias of Perfectly Measured Covariates in Regression. Biometrics. 61(3). 831–836. 10 indexed citations
11.
Buonaccorsi, John P., Laura C. Harrington, & John D. Edman. (2003). Estimation and Comparison of Mosquito Survival Rates with Release-Recapture-Removal Data. Journal of Medical Entomology. 40(1). 6–17. 41 indexed citations
12.
Buonaccorsi, John P. & Joseph S. Elkinton. (2002). Regression analysis in a spatial-temporal context: Least squares, generalized least squares, and the use of the bootstrap. Journal of Agricultural Biological and Environmental Statistics. 7(1). 4–20. 1 indexed citations
13.
Harrington, Laura C., John P. Buonaccorsi, John D. Edman, et al.. (2001). Analysis of Survival of Young and OldAedes aegypti(Diptera: Culicidae) from Puerto Rico and Thailand. Journal of Medical Entomology. 38(4). 537–547. 126 indexed citations
14.
Buonaccorsi, John P., Eugene Demidenko, & Tor D. Tosteson. (2000). Estimation in longitudinal random effects models with measurement error. Statistica Sinica. 10(3). 25 indexed citations
15.
Deegan, Linda A., et al.. (1997). Development and Validation of an Estuarine Biotic Integrity Index. Estuaries. 20(3). 601–601. 163 indexed citations
16.
Buonaccorsi, John P.. (1995). Prediction in the Presence of Measurement Error: General Discussion and an Example Predicting Defoliation. Biometrics. 51(4). 1562–1562. 23 indexed citations
17.
Sabelis, Maurice W., et al.. (1994). Search strategies of fruit flies in steady and shifting winds in the absence of food odours. Physiological Entomology. 19(4). 335–341. 14 indexed citations
18.
Manning, William J., et al.. (1993). Dynamics of biomass partitioning in field-grown radish varieties, treated with ethylenediurea. Environmental Pollution. 80(2). 133–145. 11 indexed citations
19.
Buonaccorsi, John P. & Tor D. Tosteson. (1993). Correcting for nonlinear measurement errors in the dependent variable in the general linear model. Communication in Statistics- Theory and Methods. 22(10). 2687–2702. 15 indexed citations
20.
Vecchia, Dominic F., et al.. (1988). Problems with Interval Estimation When Data are Adjusted via Calibration. Journal of Quality Technology. 20(4). 233–247. 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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