道夫 菅野

1.5k citations
3 papers · 1.1k · 1 hit paper · h-index 2

Impact in

    • Advanced Control Systems Optimization
    • Fault Detection and Control Systems
    • Adaptive Control of Nonlinear Systems
    • Advanced Control Systems Design
    • Fuzzy Logic and Control Systems
    • Neural Networks and Applications

Papers in

Journals
Elsevier eBooks (1 paper)Medical Entomology and Zoology (1 paper)

In The Last Decade

道夫 菅野

3 papers receiving 1.1k citations

道夫 菅野's Hit Papers

Industrial applications of fuzzy control 1985 · 1.1k citations
1.1k0+13+27Years since publication2505007501000

Peers

道夫 菅野
Comparison fields: 5 of 124
  • Control and Systems Engineering 413
  • Artificial Intelligence 571
  • Statistics and Probability 98
  • Management Science and Operations Research 109
  • Computational Theory and Mathematics 71
Replace Ferenc Szeifert with:
Ferenc Szeifert Hungary
Chen‐Chia Chuang Taiwan
Chilukuri K. Mohan India
Hiromitsu Kumamoto Japan
Eiji Mizutani Taiwan
Laurent Foulloy France
H.B. Verbruggen Netherlands
Michael Reinfrank Germany
V. Petridis Greece
Qun Song China
道夫 菅野 relative to Ferenc Szeifert Hungary Ferenc Szeifert's profile →
Citations per field
00.5×1.5×1.9×
Ferenc Szeifert · 1×
Citations per year

Countries citing papers authored by 道夫 菅野

Since Specialization
Citations

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

Fields of papers citing papers by 道夫 菅野

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside 道夫 菅野, 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 道夫 菅野 Line = papers co-authored together 道夫 菅野 links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Industrial applications of fuzzy control
Hit paper breakdown →
19851110
2
Advances in Soft Computing - AFSS 2002: 2002 AFSS International Conference on Fuzzy Systems. Calcutta, India, February 3-6, 2002. Proceedings
20024
3
Object Understanding Using Case-Based Reasoning with Fuzzy Attributed Graphs and Genetic Algorithms
19971

About 道夫 菅野

道夫 菅野 is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (3 papers), Industrial Technology and Control Systems (1 paper), AI-based Problem Solving and Planning (1 paper), Advanced Algebra and Logic (1 paper) and Rough Sets and Fuzzy Logic (1 paper). The work is most often cited by research in Control and Systems Engineering (413 citations), Artificial Intelligence (571 citations), Statistics and Probability (98 citations), Management Science and Operations Research (109 citations) and Computational Theory and Mathematics (71 citations). Frequent co-authors include Nikhil R. Pal. Their work appears in journals such as Elsevier eBooks and Medical Entomology and Zoology.

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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