Bernd Heidergott

1.8k total citations
95 papers, 1.2k citations indexed

About

Bernd Heidergott is a scholar working on Management Science and Operations Research, Statistics and Probability and Management Information Systems. According to data from OpenAlex, Bernd Heidergott has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 35 papers in Statistics and Probability and 33 papers in Management Information Systems. Recurrent topics in Bernd Heidergott's work include Advanced Queuing Theory Analysis (32 papers), Markov Chains and Monte Carlo Methods (25 papers) and Simulation Techniques and Applications (22 papers). Bernd Heidergott is often cited by papers focused on Advanced Queuing Theory Analysis (32 papers), Markov Chains and Monte Carlo Methods (25 papers) and Simulation Techniques and Applications (22 papers). Bernd Heidergott collaborates with scholars based in Netherlands, United States and China. Bernd Heidergott's co-authors include Jacob van der Woude, Geert Jan Olsder, Arie Hordijk, Felisa J. Vázquez-Abad, Reynard de Vries, Yijie Peng, Michael C. Fu, Hayriye Ayhan, Miranda van Uitert and Georg Ch. Pflug and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

Bernd Heidergott

85 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernd Heidergott Netherlands 18 451 330 239 216 186 95 1.2k
Eugene A. Feinberg United States 19 216 0.5× 421 1.3× 460 1.9× 185 0.9× 106 0.6× 103 1.5k
Adam Shwartz Israel 20 192 0.4× 508 1.5× 483 2.0× 201 0.9× 91 0.5× 63 1.6k
Miklós Telek Hungary 23 348 0.8× 356 1.1× 868 3.6× 209 1.0× 83 0.4× 167 2.2k
V. G. Kulkarni United States 20 152 0.3× 573 1.7× 783 3.3× 148 0.7× 136 0.7× 61 1.4k
E. Fernández-Gaucherand United States 14 105 0.2× 191 0.6× 129 0.5× 128 0.6× 150 0.8× 48 1.1k
Linn I. Sennott United States 15 109 0.2× 242 0.7× 537 2.2× 150 0.7× 142 0.8× 28 1.2k
Arie Hordijk Netherlands 26 446 1.0× 636 1.9× 1.0k 4.4× 431 2.0× 139 0.7× 119 2.1k
Bruno Séricola France 20 216 0.5× 172 0.5× 363 1.5× 103 0.5× 28 0.2× 63 1.1k
Bruno Gaujal France 18 322 0.7× 180 0.5× 345 1.4× 41 0.2× 79 0.4× 120 1.0k
Qi‐Ming He Canada 20 142 0.3× 370 1.1× 978 4.1× 190 0.9× 168 0.9× 103 1.6k

Countries citing papers authored by Bernd Heidergott

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Heidergott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernd Heidergott. 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 Bernd Heidergott. The network helps show where Bernd Heidergott may publish in the future.

Co-authorship network of co-authors of Bernd Heidergott

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Heidergott. A scholar is included among the top collaborators of Bernd Heidergott 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 Bernd Heidergott. Bernd Heidergott 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.
Vázquez-Abad, Felisa J. & Bernd Heidergott. (2025). Optimization and Learning via Stochastic Gradient Search. Princeton University Press eBooks.
2.
Heidergott, Bernd, et al.. (2025). A unifying theory of aging and mortality. Scientific Reports. 15(1). 28766–28766.
3.
Heidergott, Bernd, et al.. (2024). Perturbation and Inverse Problems of Stochastic Matrices. SIAM Journal on Matrix Analysis and Applications. 45(1). 553–584. 2 indexed citations
4.
Li, Haidong, et al.. (2022). Efficient learning for decomposing and optimizing random networks. Fundamental Research. 2(3). 487–495. 1 indexed citations
5.
Peng, Yijie, Li Xiao, Bernd Heidergott, L. Jeff Hong, & Henry Lam. (2021). A New Likelihood Ratio Method for Training Artificial Neural Networks. INFORMS journal on computing. 34(1). 638–655. 6 indexed citations
6.
Xie, Xiaolei, et al.. (2019). optimizing outpatient Department Staffing Level using Multi-Fidelity Models. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 715–720. 1 indexed citations
7.
Daduna, Hans, et al.. (2017). Analysis of Jackson networks with infinite supply and unreliable nodes. Queueing Systems. 87(1-2). 181–207. 5 indexed citations
8.
Hordijk, Wim, Arie Hordijk, & Bernd Heidergott. (2015). A Genetic Algorithm for Finding Good Balanced Sequences in a Customer Assignment Problem with no State Information. Asia Pacific Journal of Operational Research. 32(3). 1550015–1550015. 1 indexed citations
9.
Aı̈ssani, Djamil, et al.. (2014). Non-Parametric Sensitivity Analysis of the Finite M/M/1 Queue. IFAC Proceedings Volumes. 47(2). 498–503. 1 indexed citations
10.
Heidergott, Bernd, et al.. (2013). A Smoothed Perturbation Analysis Approach to Parisian Options. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 1 indexed citations
11.
Heidergott, Bernd & Arie Hordijk. (2009). Measure-valued differentiation for the cycle cost performance in the G/G/1 queue in the presence of heavy-tailed distributions. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 15. 225–253. 1 indexed citations
12.
Heidergott, Bernd, et al.. (2009). A Perturbation Analysis Approach to Phantom Estimators for Waiting Times in the G/G/1 Queue. Discrete Event Dynamic Systems. 20(2). 249–273. 5 indexed citations
13.
Heidergott, Bernd, et al.. (2008). Differentiability of Product Measures. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 3 indexed citations
14.
Heidergott, Bernd, et al.. (2008). Strong bounds on perturbations. Mathematical Methods of Operations Research. 70(1). 99–127. 4 indexed citations
15.
Heidergott, Bernd, et al.. (2008). Derivatives of Markov Kernels and Their Jordan Decomposition. Journal of Applied Analysis. 14(1). 4 indexed citations
16.
Heidergott, Bernd, et al.. (2007). A Note on Gradient Estimation for Maintenance Systems. IEEE Transactions on Automatic Control. 52(11). 2141–2145. 1 indexed citations
17.
Heidergott, Bernd, Geert Jan Olsder, & Jacob van der Woude. (2005). Max Plus at Work: Modeling and Analysis of Synchronized Systems: A Course on Max-Plus Algebra and Its Applications. CERN Document Server (European Organization for Nuclear Research). 160 indexed citations
18.
Heidergott, Bernd, et al.. (2002). Measure-valued differentiation for stationary Markov chains. Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam). 2002027. 3 indexed citations
19.
Heidergott, Bernd, et al.. (2000). Measure valued differentiation for stochastic processes : the finite horizon case. Data Archiving and Networked Services (DANS). 2000033. 11 indexed citations
20.
Heidergott, Bernd. (1999). Analyticity of transient (max,+)-linear stochastic systems. Data Archiving and Networked Services (DANS). 99030.

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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