P. P. B. Eggermont

2.0k citations

46 papers · 1.3k indexed · 1 hit paper · h-index 14

Computational Mechanics top 5%
Molecular Biology
Structural Biology top 1%
Numerical Analysis top 5%
Radiology, Nuclear Medicine and Imaging top 10%

Co-authors: V. N. LaRiccia Gábor T. Herman Arnold Lent Sjors H. W. Scheres J.M. Carazo Yair Censor Dan Gordon Mikel Valle
Topics: Numerical methods in inverse problems (14 papers)Numerical methods for differential equations (10 papers)Fractional Differential Equations Solutions (9 papers)
Cited by: Structural Biology Numerical Analysis Statistics and Probability
Journals: Journal of the American Statistical Association Nature Methods IEEE Transactions on Image Processing
Partner nations: United States Austria Spain

In The Last Decade

P. P. B. Eggermont

46 papers receiving 1.2k 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.

Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization

2006 298 citations Sjors H. W. Scheres, Haixiao Gao et al. Nature Methods profile →

Peers

Countries citing papers authored by P. P. B. Eggermont

Since Specialization

Citations

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

Fields of papers citing papers by P. P. B. Eggermont

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. P. B. Eggermont

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Maximum Penalized Likelihood Estimation: Volume II Regression 2011 ·Springer eBooks ·P. P. B. Eggermont,V. N. LaRiccia	11
2	Modeling Experimental Image Formation for Likelihood-Based Classification of Electron Microscopy Data 2007 ·Structure ·Sjors H. W. Scheres,Rafael Núñez‐Ramírez,Yacob Gómez-Llorente,Carmen San Martı́n,P. P. B. Eggermont,J.M. Carazo	59
3	Disentangling conformational states of macromolecules in 3D-EM through likelihood optimizationbreakdown → 2006 ·Nature Methods ·Sjors H. W. Scheres,Haixiao Gao,Mikel Valle,Gábor T. Herman,P. P. B. Eggermont,Joachim Frank,J.M. Carazo	298
4	SELECTING THE SMOOTHING PARAMETER IN GOODNESS OF FIT TESTING 2003 ·Journal of neurosurgery ·P. P. B. Eggermont,V. N. LaRiccia	1
5	Cross Burg entropy maximization and its application to ringing suppression in image reconstruction 1999 ·IEEE Transactions on Image Processing ·Yu Cao,P. P. B. Eggermont,S. Terebey	15
6	Nonlinear Smoothing and the EM Algorithm for Positive Integral Equations of the First Kind 1999 ·Applied Mathematics & Optimization ·P. P. B. Eggermont	10
7	ON EM-LIKE ALGORITHMS FOR MINIMUM DISTANCE ESTIMATION 1998 ·P. P. B. Eggermont,V. N. LaRiccia	5
8	Nonlinearly Smoothed EM Density Estimation with Automated Smoothing Parameter Selection for Nonparametric Deconvolution Problems 1997 ·Journal of the American Statistical Association ·P. P. B. Eggermont,V. N. LaRiccia	13
9	Maximum penalized likelihood estimation and smoothed em algorithms for positive integral equatioins of the first kind 1996 ·Numerical Functional Analysis and Optimization ·P. P. B. Eggermont,V. N. LaRiccia	8
10	Operational Quadrature Methods for Wiener-Hopf Integral Equations 1993 ·Mathematics of Computation ·P. P. B. Eggermont,Ch. Lubich	1
11	Operational quadrature methods for Wiener-Hopf integral equations 1993 ·Mathematics of Computation ·P. P. B. Eggermont,Ch. Lubich	7
12	Multiplicative iterative algorithms for convex programming 1990 ·Linear Algebra and its Applications ·P. P. B. Eggermont	69
13	Uniform error estimates of Galerkin methods for monotone Abel-Volterra integral equations on the half-line 1989 ·Mathematics of Computation ·P. P. B. Eggermont	10
14	Uniform Error Estimates of Galerkin Methods for Monotone Abel-Volterra Integral Equations on the Half-Line 1989 ·Mathematics of Computation ·P. P. B. Eggermont	3
15	Improving the accuracy of collocation solutions of Volterra integral equations of the first kind by local interpolation 1986 ·Numerische Mathematik ·P. P. B. Eggermont	3
16	On a factorization problem for convergent sequences and on Hankel forms in bounded sequences 1986 ·Proceedings of the American Mathematical Society ·P. P. B. Eggermont,Y. J. Leung	2
17	Approximation properties of quadrature methods for Volterra integral equations of the first kind 1984 ·Mathematics of Computation ·P. P. B. Eggermont	2
18	On a generalization of W.A.J. Luxemburg's asymptotic problem concerning the Laplace transform 1981 ·Indagationes Mathematicae (Proceedings) ·P. P. B. Eggermont	6
19	Iterative algorithms for large partitioned linear systems, with applications to image reconstruction 1981 ·Linear Algebra and its Applications ·P. P. B. Eggermont,Gábor T. Herman,Arnold Lent	187
20	Demonstration of a software package for the reconstruction of the dynamically changing structure of the human heart from cone beam X-ray projections 1980 ·Journal of Medical Systems ·Martin D. Altschuler,Yair Censor,P. P. B. Eggermont,Gábor T. Herman,(unknown),R.M. Lewitt,(unknown),Hoàng Tụy,Jayaram K. Udupa,(unknown)	32

About P. P. B. Eggermont

P. P. B. Eggermont is a scholar working on Numerical Analysis, Modeling and Simulation and Mathematical Physics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (14 papers), Numerical methods for differential equations (10 papers) and Fractional Differential Equations Solutions (9 papers). The work is most often cited by research in Structural Biology (232 citations), Numerical Analysis (227 citations) and Statistics and Probability (192 citations). P. P. B. Eggermont has collaborated with scholars based in United States, Austria and Spain. Frequent co-authors include V. N. LaRiccia, Gábor T. Herman, Arnold Lent, Sjors H. W. Scheres, J.M. Carazo, Yair Censor, Dan Gordon, Mikel Valle, Joachim Frank and Haixiao Gao. Their work appears in journals such as Journal of the American Statistical Association, Nature Methods and IEEE Transactions on Image Processing.

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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