Angelika van der Linde

1.2k total citations · 1 hit paper
26 papers, 733 citations indexed

About

Angelika van der Linde is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Angelika van der Linde has authored 26 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 8 papers in Applied Mathematics. Recurrent topics in Angelika van der Linde's work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical and numerical algorithms (8 papers). Angelika van der Linde is often cited by papers focused on Advanced Statistical Methods and Models (10 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical and numerical algorithms (8 papers). Angelika van der Linde collaborates with scholars based in Germany, United Kingdom and United States. Angelika van der Linde's co-authors include David Spiegelhalter, Nicola Best, Bradley P. Carlin, Martin Sarter, Daniel Peña, Gerhard Tutz and Karl‐Heinz Jöckel and has published in prestigious journals such as Biometrics, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Angelika van der Linde

25 papers receiving 709 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Deviance Information Criterion: 12 Years on

2014 426 citations David Spiegelhalter, Nicola Best et al. Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angelika van der Linde Germany	10	235	134	88	70	54	26	733
J.S. Urban Hjorth United States	6	176 0.7×	147 1.1×	85 1.0×	57 0.8×	81 1.5×	8	1.1k
Stephen E. Fienberg United States	7	177 0.8×	125 0.9×	70 0.8×	44 0.6×	27 0.5×	8	713
Prabir Burman United States	16	226 1.0×	226 1.7×	60 0.7×	125 1.8×	138 2.6×	37	1.2k
L. I. Pettit United Kingdom	8	241 1.0×	79 0.6×	91 1.0×	33 0.5×	60 1.1×	26	824
Benoît Liquet France	18	265 1.1×	171 1.3×	70 0.8×	127 1.8×	106 2.0×	90	1.4k
Shean‐Tsong Chiu United States	10	226 1.0×	154 1.1×	61 0.7×	32 0.5×	57 1.1×	19	836
Ioannis Kosmidis United Kingdom	14	203 0.9×	55 0.4×	61 0.7×	53 0.8×	47 0.9×	40	671
Ida Ruts Belgium	6	425 1.8×	189 1.4×	32 0.4×	54 0.8×	45 0.8×	7	976
Geof H. Givens United States	19	169 0.7×	164 1.2×	60 0.7×	201 2.9×	98 1.8×	62	1.3k
Tue Tjur Denmark	9	178 0.8×	60 0.4×	60 0.7×	120 1.7×	76 1.4×	16	928

Countries citing papers authored by Angelika van der Linde

Since Specialization

Citations

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

Fields of papers citing papers by Angelika van der Linde

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelika van der Linde. 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 Angelika van der Linde. The network helps show where Angelika van der Linde may publish in the future.

Co-authorship network of co-authors of Angelika van der Linde

This figure shows the co-authorship network connecting the top 25 collaborators of Angelika van der Linde. A scholar is included among the top collaborators of Angelika van der Linde 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 Angelika van der Linde. Angelika van der Linde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Spiegelhalter, David, Nicola Best, Bradley P. Carlin, & Angelika van der Linde. (2014). The Deviance Information Criterion: 12 Years on. Journal of the Royal Statistical Society Series B (Statistical Methodology). 76(3). 485–493. 426 indexed citations breakdown →

Linde, Angelika van der. (2009). A Bayesian latent variable approach to functional principal components analysis with binary and count data. AStA Advances in Statistical Analysis. 93(3). 307–333. 17 indexed citations

Linde, Angelika van der & Gerhard Tutz. (2008). On association in regression: the coefficient of determination revisited. Statistics. 42(1). 1–24. 7 indexed citations

Peña, Daniel & Angelika van der Linde. (2007). Dimensionless Measures of Variability and Dependence for Multivariate Continuous Distributions. Communication in Statistics- Theory and Methods. 36(10). 1845–1854. 9 indexed citations

Linde, Angelika van der. (2007). Local influence on posterior distributions under multiplicative modes of perturbation. Bayesian Analysis. 2(2). 8 indexed citations

Linde, Angelika van der. (2005). DIC in variable selection. Statistica Neerlandica. 59(1). 45–56. 105 indexed citations

Linde, Angelika van der. (2004). On the association between a random parameter and an observable. Test. 13(1). 85–111. 8 indexed citations

Linde, Angelika van der. (2003). PCA-based dimension reduction for splines. Journal of nonparametric statistics. 15(1). 77–92. 4 indexed citations

Linde, Angelika van der. (2003). Dimension Reduction with Linear Discriminant Functions Based on an Odds Ratio Parameterization. International Statistical Review. 71(3). 629–666. 3 indexed citations

10.

Spiegelhalter, David, Nicola Best, Bradley P. Carlin, & Angelika van der Linde. (2002). Bayesian Measures of Model Complexity and Fit. Journal of the Royal Statistical Society Series B (Statistical Methodology). 64(4). 583–639. 31 indexed citations

11.

Linde, Angelika van der, et al.. (2001). Estimation of non‐parametric multivariate risk functions in matched case‐control studies with application to the assessment of interactions of risk factors in the study of cancer. Statistics in Medicine. 20(11). 1639–1662. 5 indexed citations

12.

Linde, Angelika van der. (2000). Reference priors for shrinkage and smoothing parameters. Journal of Statistical Planning and Inference. 90(2). 245–274. 9 indexed citations

13.

Linde, Angelika van der. (1995). Splines from a Bayesian point of view. Test. 4(1). 63–81. 14 indexed citations

14.

Linde, Angelika van der, et al.. (1995). Spatial-Temporal Analysis of Mortality Using Splines. Biometrics. 51(4). 1352–1352. 6 indexed citations

15.

Linde, Angelika van der. (1994). ON CROSS‐VALIDATION FOR SMOOTHING SPLINES IN THE CASE OF DEPENDENT OBSERVATIONS. Australian Journal of Statistics. 36(1). 67–73. 5 indexed citations

16.

Linde, Angelika van der. (1993). On least squares estimation of generalized covariance functions. Mathematical Geology. 25(1). 1–7. 2 indexed citations

17.

Linde, Angelika van der. (1993). A NOTE ON SMOOTHING SPLINES AS BAYESIAN ESTIMATES. Statistics & Risk Modeling. 11(1). 7 indexed citations

18.

Linde, Angelika van der. (1988). Rethinking factor analysis as an interpolation problem. Statistics. 19(3). 359–367.

19.

Sarter, Martin & Angelika van der Linde. (1987). Vitamin E deprivation in rats: Some behavioral and histochemical observations. Neurobiology of Aging. 8(4). 297–307. 16 indexed citations

20.

Linde, Angelika van der. (1985). Interpolation of regression functions in reproducing kernel hubert spaces. Statistics. 16(3). 351–361. 1 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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