Probability in the Engineering and Informational Sciences

13.6k citations
1.2k papers · indexed · active since 1950

Probability in the Engineering and Informational Sciences

1.1k papers receiving 12.7k citations

Peers

Probability in the Engineering and Informational Sciences
Comparison fields: 5 of 153
  • Statistics and Probability 4.7k
  • Management Information Systems 4.5k
  • Statistics, Probability and Uncertainty 2.4k
  • Management Science and Operations Research 3.5k
  • Safety, Risk, Reliability and Quality 2.3k
Replace Mathematical Methods of Operations Research with:
Mathematical Methods of Operations Research Germany
International Statistical Review United States
Applied Stochastic Models in Business and Industry United States
Methodology And Computing In Applied Probability United States
Queueing Systems United States
Statistical Science United States
Statistics and Computing United Kingdom
INFORMS journal on computing United States
Journal of Computational and Graphical Statistics United States
Performance Evaluation United States
Probability in the Engineering and Informational Sciences relative to Mathematical Methods of Operations Research Germany Mathematical Methods of Operations Research's profile →
Citations per field
00.5×2.7×
Mathematical Methods of Operations Research · 1×
Citations per year

Countries where authors publish in Probability in the Engineering and Informational Sciences

Since Specialization
Citations

This map shows the geographic impact of research published in Probability in the Engineering and Informational Sciences. 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 Probability in the Engineering and Informational Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Probability in the Engineering and Informational Sciences more than expected).

Fields of papers published in Probability in the Engineering and Informational Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Probability in the Engineering and Informational Sciences. 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 Probability in the Engineering and Informational Sciences.

About Probability in the Engineering and Informational Sciences

The 1.2k papers published in Probability in the Engineering and Informational Sciences in the last decades have received a total of 13.6k indexed citations . Papers published in Probability in the Engineering and Informational Sciences usually cover Management Information Systems (437 papers), Statistics and Probability (403 papers) and Management Science and Operations Research (405 papers) specifically the topics of Advanced Queuing Theory Analysis (416 papers), Probability and Risk Models (261 papers), Statistical Distribution Estimation and Applications (260 papers), Reliability and Maintenance Optimization (169 papers), Probabilistic and Robust Engineering Design (112 papers), Stochastic processes and statistical mechanics (112 papers), Simulation Techniques and Applications (88 papers) and Advanced Wireless Network Optimization (86 papers). The most active scholars publishing in Probability in the Engineering and Informational Sciences are Linn I. Sennott, J. George Shanthikumar, Erol Gelenbe, Michel Mandjes, Sheldon M. Ross, Taizhong Hu, Ger Koole, Rhonda Righter, Uri Yechiali and Moshe Shaked.

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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