Karl Sigman

71 papers receiving 1.6k citations

Peers

Karl Sigman
Comparison fields: 5 of 88
  • Management Information Systems 1.1k
  • Management Science and Operations Research 666
  • Statistics and Probability 291
  • Computer Networks and Communications 528
  • Mathematical Physics 150
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Richard F. Serfozo United States
Bert Zwart Netherlands
Wolfgang Stadje Germany
N. U. Prabhu United States
Assaf Zeevi United States
Jewgeni H. Dshalalow United States
Winfried K. Grassmann Canada
Tomasz Rolski Poland
Ushio Sumita United States
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Citations per year

Countries citing papers authored by Karl Sigman

Since Specialization
Citations

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

Fields of papers citing papers by Karl Sigman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karl Sigman, 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 Karl Sigman Line = papers co-authored together Karl Sigman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007152
2 1991130
3 1996109
4 1992102
5 199998
6 199979
7
Stationary marked point processes : an intuitive approach
199578
8 200268
9 200365
10 199062
11 199748
12 199347
13 199041
14 199632
15 199731
16 199231
17 198829
18 199126
19 199126
20 198925

About Karl Sigman

Karl Sigman is a scholar working on Management Information Systems, Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications and Mathematical Physics, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (57 papers), Probability and Risk Models (30 papers), Stochastic processes and statistical mechanics (14 papers), Markov Chains and Monte Carlo Methods (12 papers), Network Traffic and Congestion Control (8 papers), Stochastic processes and financial applications (7 papers), Random Matrices and Applications (7 papers) and Advanced Wireless Network Optimization (6 papers). The work is most often cited by research in Management Information Systems (1.1k citations), Management Science and Operations Research (666 citations), Statistics and Probability (291 citations), Computer Networks and Communications (528 citations) and Mathematical Physics (150 citations). Karl Sigman has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Mor Harchol‐Balter, Peter W. Glynn, Erol Gelenbe, David Simchi‐Levi, Ward Whitt, Søren Asmussen, Varun Gupta, Lalith Munasinghe, Claudia Klüppelberg and Ronald W. Wolff. Their work appears in journals such as Journal of Applied Probability, Queueing Systems, Stochastic Processes and their Applications, Probability in the Engineering and Informational Sciences and Advances in Applied Probability.

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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