J. Th. Runnenburg
- Management Information Systems top 5%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Topics
- Statistical Distribution Estimation and Applications (4 papers)Bayesian Methods and Mixture Models (3 papers)Advanced Queuing Theory Analysis (3 papers)
- Cited by
- Management Information SystemsStatistics and ProbabilityManagement Science and Operations Research
- Journals
- Journal of the American Statistical AssociationInsurance Mathematics and EconomicsStatistica Neerlandica
- Partner nations
- NetherlandsUnited States
In The Last Decade
J. Th. Runnenburg
20 papers receiving 317 citations
Peers
Comparison fields: 5 of 88
- Management Information Systems 92
- Statistics and Probability 79
- Management Science and Operations Research 76
- Artificial Intelligence 70
- Computer Networks and Communications 49
Countries citing papers authored by J. Th. Runnenburg
This map shows the geographic impact of J. Th. Runnenburg'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 J. Th. Runnenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Th. Runnenburg more than expected).
Fields of papers citing papers by J. Th. Runnenburg
This network shows the impact of papers produced by J. Th. Runnenburg. 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 J. Th. Runnenburg. The network helps show where J. Th. Runnenburg may publish in the future.
Co-authorship network of co-authors of J. Th. Runnenburg
This figure shows the co-authorship network connecting the top 25 collaborators of J. Th. Runnenburg. A scholar is included among the top collaborators of J. Th. Runnenburg 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 J. Th. Runnenburg. J. Th. Runnenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 174 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 32 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | On markov chains, the transition function of which is a finite sum of products of functions on one variable : Preliminary report | 2 |
| 11 | 13 | |
| 12 | 11 | |
| 13 | Renewal theory for markov-dependent random variables | 2 |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | A probabilistic interpretation of some formulae in queueing theory | 2 |
| 18 | 52 | |
| 19 | 10 | |
| 20 | Priority in waiting line problems : Prepublication | 3 |
About J. Th. Runnenburg
J. Th. Runnenburg is a scholar working on Statistics and Probability, Management Information Systems and Discrete Mathematics and Combinatorics, having authored 20 papers that have together received 361 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (4 papers), Bayesian Methods and Mixture Models (3 papers) and Advanced Queuing Theory Analysis (3 papers). The work is most often cited by research in Management Information Systems (92 citations), Statistics and Probability (79 citations) and Management Science and Operations Research (76 citations). J. Th. Runnenburg has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Harry Kesten, Wim Vervaat, Constance van Eeden, Marc Goovaerts, Laurens de Haan and F. W. Steutel. Their work appears in journals such as Journal of the American Statistical Association, Insurance Mathematics and Economics and Statistica Neerlandica.
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.