P. P. B. Eggermont

2.0k total citations · 1 hit paper
46 papers, 1.3k citations indexed

About

P. P. B. Eggermont is a scholar working on Mathematical Physics, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, P. P. B. Eggermont has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mathematical Physics, 16 papers in Numerical Analysis and 10 papers in Applied Mathematics. Recurrent topics in P. P. B. Eggermont's work include Numerical methods in inverse problems (14 papers), Numerical methods for differential equations (10 papers) and Fractional Differential Equations Solutions (9 papers). P. P. B. Eggermont is often cited by papers focused on Numerical methods in inverse problems (14 papers), Numerical methods for differential equations (10 papers) and Fractional Differential Equations Solutions (9 papers). P. P. B. Eggermont collaborates with scholars based in United States, Austria and Spain. P. P. B. Eggermont's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Nature Methods and IEEE Transactions on Image Processing.

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

P. P. B. Eggermont

CM

MB

SB

NA

RNMI

Dustin G. Mixon United States

Arno B. J. Kuijlaars Belgium

Stanly Steinberg United States

D. Lüke Germany

Albert Fannjiang United States

Peter Binev United States

Philipp Grohs Austria

Dejan Slepčev United States

Alfio Borzı̀ Germany

Malvin H. Kalos United States

Dustin G. Mixon United States

P. P. B. Eggermont

263 ×1.0

CM

80 ×0.3

MB

41 ×0.2

SB

26 ×0.1

NA

61 ×0.3

RNMI

Citations per year, relative to P. P. B. Eggermont P. P. B. Eggermont (= 1×) peers Dustin G. Mixon

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

1.

Eggermont, P. P. B. & V. N. LaRiccia. (2011). Maximum Penalized Likelihood Estimation: Volume II Regression. Springer eBooks. 11 indexed citations

2.

Scheres, Sjors H. W., Rafael Núñez‐Ramírez, Yacob Gómez-Llorente, et al.. (2007). Modeling Experimental Image Formation for Likelihood-Based Classification of Electron Microscopy Data. Structure. 15(10). 1167–1177. 59 indexed citations

3.

Scheres, Sjors H. W., Haixiao Gao, Mikel Valle, et al.. (2006). Disentangling conformational states of macromolecules in 3D-EM through likelihood optimization. Nature Methods. 4(1). 27–29. 298 indexed citations breakdown →

4.

Eggermont, P. P. B. & V. N. LaRiccia. (2003). SELECTING THE SMOOTHING PARAMETER IN GOODNESS OF FIT TESTING. Journal of neurosurgery. 101(2 Suppl). 189–95. 1 indexed citations

5.

Cao, Yu, P. P. B. Eggermont, & S. Terebey. (1999). Cross Burg entropy maximization and its application to ringing suppression in image reconstruction. IEEE Transactions on Image Processing. 8(2). 286–292. 15 indexed citations

6.

Eggermont, P. P. B.. (1999). Nonlinear Smoothing and the EM Algorithm for Positive Integral Equations of the First Kind. Applied Mathematics & Optimization. 39(1). 75–91. 10 indexed citations

7.

Eggermont, P. P. B. & V. N. LaRiccia. (1998). ON EM-LIKE ALGORITHMS FOR MINIMUM DISTANCE ESTIMATION. 5 indexed citations

8.

Eggermont, P. P. B. & V. N. LaRiccia. (1997). Nonlinearly Smoothed EM Density Estimation with Automated Smoothing Parameter Selection for Nonparametric Deconvolution Problems. Journal of the American Statistical Association. 92(440). 1451–1458. 13 indexed citations

9.

Eggermont, P. P. B. & V. N. LaRiccia. (1996). Maximum penalized likelihood estimation and smoothed em algorithms for positive integral equatioins of the first kind. Numerical Functional Analysis and Optimization. 17(7-8). 737–754. 8 indexed citations

10.

Eggermont, P. P. B. & Ch. Lubich. (1993). Operational Quadrature Methods for Wiener-Hopf Integral Equations. Mathematics of Computation. 60(202). 699–699. 1 indexed citations

11.

Eggermont, P. P. B. & Ch. Lubich. (1993). Operational quadrature methods for Wiener-Hopf integral equations. Mathematics of Computation. 60(202). 699–718. 7 indexed citations

12.

Eggermont, P. P. B.. (1990). Multiplicative iterative algorithms for convex programming. Linear Algebra and its Applications. 130. 25–42. 69 indexed citations

13.

Eggermont, P. P. B.. (1989). Uniform error estimates of Galerkin methods for monotone Abel-Volterra integral equations on the half-line. Mathematics of Computation. 53(187). 157–189. 10 indexed citations

14.

Eggermont, P. P. B.. (1989). Uniform Error Estimates of Galerkin Methods for Monotone Abel-Volterra Integral Equations on the Half-Line. Mathematics of Computation. 53(187). 157–157. 3 indexed citations

15.

Eggermont, P. P. B.. (1986). Improving the accuracy of collocation solutions of Volterra integral equations of the first kind by local interpolation. Numerische Mathematik. 48(3). 263–279. 3 indexed citations

16.

Eggermont, P. P. B. & Y. J. Leung. (1986). On a factorization problem for convergent sequences and on Hankel forms in bounded sequences. Proceedings of the American Mathematical Society. 96(2). 269–274. 2 indexed citations

17.

Eggermont, P. P. B.. (1984). Approximation properties of quadrature methods for Volterra integral equations of the first kind. Mathematics of Computation. 43(168). 455–471. 2 indexed citations

18.

Eggermont, P. P. B.. (1981). On a generalization of W.A.J. Luxemburg's asymptotic problem concerning the Laplace transform. Indagationes Mathematicae (Proceedings). 84(3). 257–265. 6 indexed citations

19.

Eggermont, P. P. B., Gábor T. Herman, & Arnold Lent. (1981). Iterative algorithms for large partitioned linear systems, with applications to image reconstruction. Linear Algebra and its Applications. 40. 37–67. 187 indexed citations

20.

Altschuler, Martin D., Yair Censor, P. P. B. Eggermont, et al.. (1980). Demonstration of a software package for the reconstruction of the dynamically changing structure of the human heart from cone beam X-ray projections. Journal of Medical Systems. 4(2). 289–304. 32 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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