J. Köllerström

408 total citations
15 papers, 307 citations indexed

About

J. Köllerström is a scholar working on Statistics and Probability, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, J. Köllerström has authored 15 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Management Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in J. Köllerström's work include Random Matrices and Applications (8 papers), Advanced Queuing Theory Analysis (8 papers) and Probability and Risk Models (7 papers). J. Köllerström is often cited by papers focused on Random Matrices and Applications (8 papers), Advanced Queuing Theory Analysis (8 papers) and Probability and Risk Models (7 papers). J. Köllerström collaborates with scholars based in United Kingdom. J. Köllerström's co-authors include G. Barrie Wetherill, M. G. Kenward, Satya Paul, P. Duncombe, Robert Mason, T.C. Tozer, Peter H. Welch and Tim Hopkins and has published in prestigious journals such as Journal of the American Statistical Association, Electronics Letters and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

J. Köllerström

13 papers receiving 272 citations

Peers

J. Köllerström
John M. Cozzolino United States
Donald C. McNickle New Zealand
T. C. T. Kotiah United States
Timothy I. Matis United States
Gheorghe Oprişan Romania
Bernd Freimut Germany
A. I. Shawky Saudi Arabia
Florian Simatos France
K. D. S. Young United Kingdom
Edward F. Mykytka United States
John M. Cozzolino United States
J. Köllerström
Citations per year, relative to J. Köllerström J. Köllerström (= 1×) peers John M. Cozzolino

Countries citing papers authored by J. Köllerström

Since Specialization
Citations

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

Fields of papers citing papers by J. Köllerström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Köllerström

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

All Works

15 of 15 papers shown
1.
Mason, Robert, G. Barrie Wetherill, P. Duncombe, et al.. (1988). Regression Analysis with Applications.. Journal of the American Statistical Association. 83(404). 1215–1215. 128 indexed citations
2.
Hopkins, Tim, Peter H. Welch, & J. Köllerström. (1983). Algorithm AS 188: Estimation of the Order of Dependence in Sequences. Journal of the Royal Statistical Society Series C (Applied Statistics). 32(2). 185–185.
3.
Köllerström, J.. (1981). 14. Sampling by Variables with a Normal-Gamma Prior("Workshop on SQC"便り). 11(1). 17.
4.
Köllerström, J.. (1981). A second-order heavy traffic approximation for the queueGI/G/1. Advances in Applied Probability. 13(1). 167–185. 4 indexed citations
5.
Köllerström, J.. (1981). A second-order heavy traffic approximation for the queue GI/G/1. Advances in Applied Probability. 13(1). 167–185. 1 indexed citations
6.
Tozer, T.C. & J. Köllerström. (1980). Penalties of hard decision in signal detection. Electronics Letters. 16(5). 199–200. 6 indexed citations
7.
Köllerström, J. & G. Barrie Wetherill. (1979). SPRT's for the Normal Correlation Coefficient. Journal of the American Statistical Association. 74(368). 815–821. 3 indexed citations
8.
Wetherill, G. Barrie & J. Köllerström. (1979). Sampling Inspection Simplified. Journal of the Royal Statistical Society Series A (General). 142(1). 1–1. 26 indexed citations
9.
Köllerström, J.. (1979). Heavy traffic theory for queues with several servers. II. Journal of Applied Probability. 16(2). 393–401. 2 indexed citations
10.
Köllerström, J.. (1979). Heavy traffic theory for queues with several servers. II. Journal of Applied Probability. 16(2). 393–401. 65 indexed citations
11.
Köllerström, J. & G. Barrie Wetherill. (1979). SPRT's for the Normal Correlation Coefficient. Journal of the American Statistical Association. 74(368). 815–815. 1 indexed citations
12.
Köllerström, J.. (1978). Stochastic bounds for the queue GI/G/1 in heavy traffic. Mathematical Proceedings of the Cambridge Philosophical Society. 84(2). 361–375. 2 indexed citations
13.
Köllerström, J.. (1976). Stochastic bounds for the single-server queue. Mathematical Proceedings of the Cambridge Philosophical Society. 80(3). 521–525. 11 indexed citations
14.
Köllerström, J.. (1974). Heavy traffic theory for queues with several servers. I. Journal of Applied Probability. 11(3). 544–552. 53 indexed citations
15.
Köllerström, J.. (1974). Heavy traffic theory for queues with several servers. I. Journal of Applied Probability. 11(3). 544–552. 5 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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