IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

74.2k citations
1.6k papers · · active since 1950

Impact in

Papers in

IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

1.5k papers receiving 69.5k citations

Peers

IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
Comparison fields: 5 of 229
  • Industrial and Manufacturing Engineering 7.5k
  • Management Science and Operations Research 9.3k
  • Computational Theory and Mathematics 11.3k
  • Control and Systems Engineering 14.7k
  • Artificial Intelligence 19.4k
Replace Artificial Intelligence Review with:
Artificial Intelligence Review China
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) United States
Journal of Artificial Intelligence Research United States
Journal of Machine Learning Research United States
Neural Computation United States
Information Fusion China
Machine Learning United States
SIMULATION United States
Journal of Intelligent Manufacturing China
ACM Computing Surveys United States
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans relative to Artificial Intelligence Review China Artificial Intelligence Review's profile →
Citations per field
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Artificial Intelligence Review · 1×
Citations per year

Countries where authors publish in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 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 IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans more than expected).

Fields of papers published in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 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 IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

About IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans

The 1.6k papers published in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans in the last decades have received a total of 74.2k indexed citations . Papers published in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans usually cover Management Science and Operations Research (237 papers), Software (71 papers), Industrial and Manufacturing Engineering (158 papers), Management Information Systems (136 papers) and Artificial Intelligence (487 papers) specifically the topics of Petri Nets in System Modeling (126 papers), Multi-Criteria Decision Making (100 papers), Business Process Modeling and Analysis (91 papers), Fault Detection and Control Systems (77 papers), Human-Automation Interaction and Safety (76 papers), AI-based Problem Solving and Planning (72 papers), Bayesian Modeling and Causal Inference (71 papers) and Neural Networks and Applications (68 papers). The most active scholars publishing in IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans are MengChu Zhou, T.B. Sheridan, Raja Parasuraman, Christopher D. Wickens, Ronald R. Yager, Jianbo Yang, P.J. Fleming, Carlos M. Fonseca, Anol Bhattacherjee and Zhiwu Li.

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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