Jane L. Harvill

421 total citations
26 papers, 309 citations indexed

About

Jane L. Harvill is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jane L. Harvill has authored 26 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Jane L. Harvill's work include Statistical Distribution Estimation and Applications (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Jane L. Harvill is often cited by papers focused on Statistical Distribution Estimation and Applications (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Jane L. Harvill collaborates with scholars based in United States. Jane L. Harvill's co-authors include Bonnie K. Ray, Aysha Arshad, Jamie B. Conti, H. Joseph Newton, Samuel F. Sears, Anne B. Curtis, Jonathan S. Steinberg, Ramey C. Youngblood, Scott T. Willard and Peter L. Ryan and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the American College of Cardiology and Annals of the New York Academy of Sciences.

In The Last Decade

Jane L. Harvill

24 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane L. Harvill United States 9 60 42 41 40 40 26 309
John Pemberton United Kingdom 10 33 0.6× 22 0.5× 33 0.8× 7 0.2× 18 0.5× 23 305
Bård Støve Norway 11 102 1.7× 121 2.9× 19 0.5× 17 0.4× 89 2.2× 22 389
Miguel de Carvalho United Kingdom 11 68 1.1× 122 2.9× 52 1.3× 9 0.2× 86 2.1× 43 349
Eliane R. Rodrigues Mexico 13 75 1.3× 64 1.5× 35 0.9× 6 0.1× 27 0.7× 43 570
H. Joseph Newton United States 11 83 1.4× 83 2.0× 23 0.6× 3 0.1× 28 0.7× 43 377
Chunfu Qiu United States 9 22 0.4× 108 2.6× 15 0.4× 61 1.5× 26 0.7× 18 458
Sílvia R. C. Lopes Brazil 11 157 2.6× 57 1.4× 39 1.0× 3 0.1× 155 3.9× 44 331
Olha Bodnar Germany 12 51 0.8× 161 3.8× 39 1.0× 6 0.1× 47 1.2× 46 413
Jin‐Lung Lin Taiwan 5 120 2.0× 16 0.4× 41 1.0× 2 0.1× 79 2.0× 6 289
Abigail Colson United Kingdom 11 125 2.1× 25 0.6× 39 1.0× 12 0.3× 24 0.6× 27 520

Countries citing papers authored by Jane L. Harvill

Since Specialization
Citations

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

Fields of papers citing papers by Jane L. Harvill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane L. Harvill. 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 Jane L. Harvill. The network helps show where Jane L. Harvill may publish in the future.

Co-authorship network of co-authors of Jane L. Harvill

This figure shows the co-authorship network connecting the top 25 collaborators of Jane L. Harvill. A scholar is included among the top collaborators of Jane L. Harvill 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 Jane L. Harvill. Jane L. Harvill 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.
Harvill, Jane L., et al.. (2018). Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data. Communication in Statistics- Theory and Methods. 48(18). 4550–4568. 4 indexed citations
2.
Driese, Steven G., et al.. (2017). Variations in late Quaternary wind intensity from grain-size partitioning of loess deposits in the Nenana River Valley, Alaska. Quaternary Research. 87(2). 258–274. 18 indexed citations
3.
Harvill, Jane L., Priya Kohli, & Налини Равишанкер. (2016). Clustering Nonlinear, Nonstationary Time Series Using BSLEX. Methodology And Computing In Applied Probability. 19(3). 935–955. 4 indexed citations
4.
Harvill, Jane L.. (2015). An Introduction to Mathematical Statistics and Its Applications: Fifth Edition. The American Statistician. 2 indexed citations
5.
Harvill, Jane L., Налини Равишанкер, & Bonnie K. Ray. (2013). Bispectral-based methods for clustering time series. Computational Statistics & Data Analysis. 64. 113–131. 8 indexed citations
6.
Banicescu, Ioana, et al.. (2011). Investigating asymptotic properties of vector nonlinear time series models. Journal of Computational and Applied Mathematics. 236(3). 411–421. 2 indexed citations
7.
Harvill, Jane L.. (2010). Spatio‐temporal processes. Wiley Interdisciplinary Reviews Computational Statistics. 2(3). 375–382. 13 indexed citations
8.
Harvill, Jane L.. (2008). Fundamental Probability: A Computational Approach. The American Statistician. 62(2). 179–180.
9.
Jahan, Nusrat & Jane L. Harvill. (2008). Bispectral-Based Goodness-of-Fit Tests of Gaussianity and Linearity of Stationary Time Series. Communication in Statistics- Theory and Methods. 37(20). 3216–3227. 5 indexed citations
10.
Banicescu, Ioana, et al.. (2005). Vector Nonlinear Time‐Series Analysis of Gamma‐Ray Burst Datasets on Heterogeneous Clusters. Scientific Programming. 13(2). 67–77. 1 indexed citations
11.
Banicescu, Ioana, et al.. (2005). Simulation of Vector Nonlinear Time Series Models on Clusters. 6. 250a–250a. 5 indexed citations
12.
Ryan, Peter L., Ramey C. Youngblood, Jane L. Harvill, & Scott T. Willard. (2005). Photonic Monitoring in Real Time of Vascular Endothelial Growth Factor Receptor 2 Gene Expression under Relaxin‐Induced Conditions in a Novel Murine Wound Model. Annals of the New York Academy of Sciences. 1041(1). 398–414. 18 indexed citations
13.
Steinberg, Jonathan S., et al.. (2004). 1091-210 The world trade center attack: Increased frequency of defibrillator shocks for ventricular arrhythmias in patients living remotely from New York City. Journal of the American College of Cardiology. 43(5). A125–A125. 1 indexed citations
14.
Sears, Samuel F., Jane L. Harvill, Aysha Arshad, et al.. (2004). The World Trade Center attack: Increased frequency of defibrillator shocks for ventricular arrhythmias in patients living remotely from New York City. Journal of the American College of Cardiology. 44(6). 1265–1267. 64 indexed citations
15.
Harvill, Jane L., et al.. (2000). An investigation of lag identification tools for vector nonlinear time series. Communication in Statistics- Theory and Methods. 29(8). 1677–1701. 6 indexed citations
16.
Harvill, Jane L.. (1999). Miscellanea. A note on tests for nonlinearity in a vector time series. Biometrika. 86(3). 728–734. 18 indexed citations
17.
Harvill, Jane L.. (1999). Testing time series linearity via goodness-of-fit methods. Journal of Statistical Planning and Inference. 75(2). 331–341. 3 indexed citations
18.
Harvill, Jane L. & H. Joseph Newton. (1995). Using symbolic math to evaluate saddlepoint approximations for the difference of order statistics. Communications in Statistics - Simulation and Computation. 24(3). 781–791. 3 indexed citations
19.
Harvill, Jane L. & H. Joseph Newton. (1995). Saddlepoint Approximations for the Difference of Order Statistics. Biometrika. 82(1). 226–226. 1 indexed citations
20.
Harvill, Jane L. & H. Joseph Newton. (1995). Saddlepoint approximations for the difference of order statistics. Biometrika. 82(1). 226–231. 13 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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