Discrete Event Dynamic Systems

568 papers and 10.0k indexed citations i.

About

The 568 papers published in Discrete Event Dynamic Systems in the last decades have received a total of 10.0k indexed citations. Papers published in Discrete Event Dynamic Systems usually cover Computational Theory and Mathematics (392 papers), Computer Networks and Communications (159 papers) and Management Information Systems (139 papers) specifically the topics of Petri Nets in System Modeling (341 papers), Formal Methods in Verification (255 papers) and Distributed systems and fault tolerance (94 papers). The most active scholars publishing in Discrete Event Dynamic Systems are Stéphane Lafortune, Sridhar Mahadevan, Andrew G. Barto, Feng Lin, W.M. Wonham, Edwin K. P. Chong, Demosthenis Teneketzis, K.C. Wong, Alessandro Giua and Enver Yücesan.

In The Last Decade

Fields of papers published in Discrete Event Dynamic Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Discrete Event Dynamic Systems. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Discrete Event Dynamic Systems.

Countries where authors publish in Discrete Event Dynamic Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Discrete Event Dynamic Systems. 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 papers published in Discrete Event Dynamic Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Discrete Event Dynamic Systems more than expected).

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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