R. Syski

677 citations
34 papers · 538 · h-index 10

Impact in

Papers in

R. Syski

27 papers receiving 472 citations

Peers

R. Syski
Comparison fields: 5 of 73
  • Management Information Systems 201
  • Statistics and Probability 116
  • Management Science and Operations Research 124
  • Mathematical Physics 56
  • Computational Theory and Mathematics 80
Replace L. C. M. Kallenberg with:
L. C. M. Kallenberg Netherlands
Ralph E. Strauch United States
Clifford W. Marshall United States
Austin J. Lemoine United States
J.P.C. Blanc Netherlands
Haya Kaspi Israel
V.F. Nicola United States
Werner Scheinhardt Netherlands
Michael Orkin United States
Shun‐Chen Niu United States
R. Syski relative to L. C. M. Kallenberg Netherlands L. C. M. Kallenberg's profile →
Citations per field
00.5×2×2.9×
L. C. M. Kallenberg · 1×
Citations per year

Countries citing papers authored by R. Syski

Since Specialization
Citations

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

Fields of papers citing papers by R. Syski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside R. Syski, 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 R. Syski Line = papers co-authored together R. Syski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975180
2 1999147
3 199253
4
Queueing theory and its applications : liber amicorum for J.W. Cohen
198836
5 197522
6 197312
7 198210
8 19789
9 19779
10 19749
11 19797
12 19887
13 19826
14 19795
15 19944
16 19792
17 19862
18 19822
19 19882
20
Markovian functionals in teletraffic analysis
19862

About R. Syski

R. Syski is a scholar working on Mathematical Physics, Management Science and Operations Research, Statistics and Probability, Management Information Systems and Condensed Matter Physics, having authored 34 papers that have together received 538 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Advanced Queuing Theory Analysis (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Mathematical Dynamics and Fractals (3 papers), Probability and Risk Models (3 papers), Stochastic processes and financial applications (2 papers), Theoretical and Computational Physics (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Management Information Systems (201 citations), Statistics and Probability (116 citations), Management Science and Operations Research (124 citations), Mathematical Physics (56 citations) and Computational Theory and Mathematics (80 citations). R. Syski has collaborated with scholars based in United States and Israel. Frequent co-authors include Arie Hordijk, Onno Boxma, M. Yadin, Julian Keilson, Jewgeni H. Dshalalow and H. C. P. Berbee. Their work appears in journals such as Advances in Applied Probability, Technometrics, Stochastic Processes and their Applications, Biometrics and SIAM Review.

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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