Erik A. van Doorn

2.2k citations
80 papers · 1.3k indexed · h-index 21

Erik A. van Doorn

77 papers receiving 1.2k citations

Peers

Erik A. van Doorn
Comparison fields: 5 of 84
  • Management Information Systems 627
  • Statistics and Probability 467
  • Mathematical Physics 411
  • Management Science and Operations Research 278
  • Applied Mathematics 180
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Countries citing papers authored by Erik A. van Doorn

Since Specialization
Citations

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

Fields of papers citing papers by Erik A. van Doorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik A. van Doorn. 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 Erik A. van Doorn. The network helps show where Erik A. van Doorn may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Erik A. van Doorn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Erik A. van Doorn Line = papers co-authored together Erik A. van Doorn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Asymptotic period of an aperiodic Markov chain and the strong ratio limit property
20171
2
Weighted sums of orthogonal polynomials related to birth-death processes with killing
20132
3 20129
4
Quasi-stationary distributions
20119
5
Quasi-Stationary Distributions for Reducible Absorbing Markov Chains in Discrete Time
200917
6
Quasi-stationary distributions for reducible absorbing Markov chains in discrete time
200817
7 200822
8 20053
9
Orthogonal polynomials on ℜ+ and birth-death processes with killing
20051
10 200525
11
Representations for the rate of convergence of birth-death processes
200111
12 199813
13
Analysis of a single-server queue interacting with a fluid reservoir
19971
14
Weighted sums of orthogonal polynomials with positive zeros
19951
15 19954
16
Geometric ergodicity, quasi-stationarity and ratio limits for random walks
19921
17
Asymptotics for birth-death polynomials and quasi-limiting distributions for birth-death processes
19921
18 19871
19
Some aspects of the peakedness concept in teletraffic theory
19867
20 198123

About Erik A. van Doorn

Erik A. van Doorn is a scholar working on Management Information Systems, Statistics and Probability, Mathematical Physics, Applied Mathematics and Numerical Analysis, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (47 papers), Stochastic processes and statistical mechanics (22 papers), Mathematical functions and polynomials (18 papers), Probability and Risk Models (17 papers), Random Matrices and Applications (14 papers), Markov Chains and Monte Carlo Methods (11 papers), Wireless Communication Networks Research (5 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Management Information Systems (627 citations), Statistics and Probability (467 citations), Mathematical Physics (411 citations), Management Science and Operations Research (278 citations) and Applied Mathematics (180 citations). Erik A. van Doorn has collaborated with scholars based in Netherlands, United Kingdom and Australia. Frequent co-authors include P. K. Pollett, A. A. Jagers, Alexander Zeifman, Pauline Coolen‐Schrijner, Werner Scheinhardt, J.P.C. Blanc, Masaaki Kijima, P.R. Parthasarathy, Gopalan Nair and Jacques Resing. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, Journal of Computational and Applied Mathematics, Journal of Mathematical Analysis and Applications and Queueing Systems.

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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