R. Syski

674 citations
27 papers · 418 · h-index 8

Impact in

Papers in

R. Syski

23 papers receiving 367 citations

Peers

R. Syski
Comparison fields: 5 of 63
  • Management Information Systems 172
  • Statistics and Probability 91
  • Management Science and Operations Research 99
  • Mathematical Physics 42
  • Computer Networks and Communications 96
Replace L. C. M. Kallenberg with:
L. C. M. Kallenberg Netherlands
J.P.C. Blanc Netherlands
Ralph E. Strauch United States
Shun‐Chen Niu United States
Clifford W. Marshall United States
Austin J. Lemoine United States
V.F. Nicola United States
A. V. Gafarian United States
Michael Orkin United States
Y. S. Chow Singapore
R. Syski relative to L. C. M. Kallenberg Netherlands L. C. M. Kallenberg's profile →
Citations per field
00.5×2.6×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975151
2 1999143
3
Queueing theory and its applications : liber amicorum for J.W. Cohen
198833
4 197522
5 19789
6 19778
7 19748
8 19828
9 19826
10 19795
11 19885
12 19943
13 19793
14 19922
15 19882
16
Markovian functionals in teletraffic analysis
19862
17
MANAGEMENT SCIENCES RESEARCH GROUP
19611
18 19761
19 19951
20 19821

About R. Syski

R. Syski is a scholar working on Mathematical Physics, Statistics and Probability, Management Information Systems, Management Science and Operations Research and Condensed Matter Physics, having authored 27 papers that have together received 418 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Advanced Queuing Theory Analysis (4 papers), Mathematical Dynamics and Fractals (3 papers), Markov Chains and Monte Carlo Methods (3 papers), Probability and Risk Models (3 papers), Random Matrices and Applications (2 papers), Theoretical and Computational Physics (2 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Management Information Systems (172 citations), Statistics and Probability (91 citations), Management Science and Operations Research (99 citations), Mathematical Physics (42 citations) and Computer Networks and Communications (96 citations). R. Syski has collaborated with scholars based in United States and Israel. Frequent co-authors include Arie Hordijk, Onno Boxma, Julian Keilson, M. Yadin, 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 International Journal of Stochastic Analysis.

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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