Machine Intelligence Research

21.6k citations
1.3k papers · · active since 2016

Impact in

Papers in

    • Adaptive Control of Nonlinear Systems 128
    • Stability and Control of Uncertain Systems 109
    • Fault Detection and Control Systems 95
    • Advanced Control Systems Optimization 80
    • Iterative Learning Control Systems 58
    • Control Systems and Identification 52
    • Robotic Path Planning Algorithms 50

Machine Intelligence Research

1.2k papers receiving 20.8k citations

Peers

Machine Intelligence Research
Comparison fields: 5 of 216
  • Control and Systems Engineering 6.6k
  • Computer Vision and Pattern Recognition 4.6k
  • Computer Networks and Communications 3.1k
  • Artificial Intelligence 4.3k
  • Industrial and Manufacturing Engineering 847
Replace Optimization methods & software with:
Optimization methods & software United States
International Journal of Fuzzy Systems China
Engineering Science and Technology an International Journal India
Frontiers in Robotics and AI United States
International Journal of Applied Mathematics and Computer Science Poland
Frontiers of Information Technology & Electronic Engineering China
Complex & Intelligent Systems China
IET Intelligent Transport Systems China
Archives of Computational Methods in Engineering India
IEEE Transactions on Human-Machine Systems United States
Machine Intelligence Research relative to Optimization methods & software United States Optimization methods & software's profile →
Citations per field
00.5×1.5×2×2.3×
Optimization methods & software · 1×
Citations per year

Countries where authors publish in Machine Intelligence Research

Since Specialization
Citations

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

Fields of papers published in Machine Intelligence Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Machine Intelligence Research. 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 Machine Intelligence Research.

About Machine Intelligence Research

The 1.3k papers published in Machine Intelligence Research in the last decades have received a total of 21.6k indexed citations . Papers published in Machine Intelligence Research usually cover Control and Systems Engineering (467 papers), Computer Vision and Pattern Recognition (333 papers), Computer Networks and Communications (198 papers), Artificial Intelligence (275 papers) and Software (23 papers) specifically the topics of Adaptive Control of Nonlinear Systems (128 papers), Stability and Control of Uncertain Systems (109 papers), Fault Detection and Control Systems (95 papers), Advanced Control Systems Optimization (80 papers), Neural Networks Stability and Synchronization (63 papers), Iterative Learning Control Systems (58 papers), Control Systems and Identification (52 papers) and Robotic Path Planning Algorithms (50 papers). The most active scholars publishing in Machine Intelligence Research are Bidyadhar Subudhi, James M. Gilbert, Guang‐Ren Duan, Diclehan Karakaya, Oguzhan Ulucan, Mehmet Türkan, Bibhuti Bhusan Pati, Bikramaditya Das, Luc Van Gool and Hongnian Yu.

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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