James S. Albus

12.5k citations
191 papers · 7.8k indexed · 4 hit papers · h-index 32
Topics
AI-based Problem Solving and Planning (31 papers)Robotic Path Planning Algorithms (20 papers)Robotic Mechanisms and Dynamics (20 papers)

In The Last Decade

James S. Albus

173 papers receiving 7.0k citations

Hit Papers

A theory of cerebellar function1971202619892007197119751975199350010001.5k

Peers

James S. Albus
Comparison fields: 5 of 165
  • Control and Systems Engineering 2.8k
  • Artificial Intelligence 2.3k
  • Neurology 1.4k
  • Cognitive Neuroscience 1.3k
  • Computer Vision and Pattern Recognition 939
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Andrew G. Barto United States
Kenji Doya Japan
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Citations per field
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Citations per year

Countries citing papers authored by James S. Albus

Since Specialization
Citations

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

Fields of papers citing papers by James S. Albus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Albus. 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 James S. Albus. The network helps show where James S. Albus may publish in the future.

Co-authorship network of co-authors of James S. Albus

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Albus. A scholar is included among the top collaborators of James S. Albus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James S. Albus. James S. Albus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Integrating Disparate Knowledge Representations within 4D/RCS.
1
2
Performance Measures for Intelligent Systems: Measures of Technology Readiness PerMIS 03 White Paper
4
3
Autonomy Level Specification for Intelligent Autonomous Vehicles: Interim Progress Report | NIST
14
4
Knowledge Engineering for Real Time Control
0
5
Features of Intelligence Required by Unmanned Ground Vehicles
10
6
4-D/RCS Reference Model Architecture for Unmanned Ground Vehicles
10
7 4
8
A Reference Model Architecture for Design and Implementation of Intelligent Control in Large and Complex Systems
35
9
RCS-Based RoboCrane Integration
11
10
Planning in the Hierarchy of NIST-RCS for Manufacturing
6
11
RCS: A Reference Model Architecture for Intelligent Systems
4
12
Applications of the NIST ROBOCRANE.
51
13
Towards a Reference Model Architecture for Real-Time Intelligent Control Systems (ARTICS)
9
14
Control System Architecture for Intelligent Machine Systems
2
15 23
16 41
17
Theory and Practice of Hierarchical Control
128
18
Brains, Behavior and Robotics
281
19
Federal programs in artificial intelligence
1
20
Theoretical and Experimental Aspects of a Cerebellar Model
47

About James S. Albus

James S. Albus is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 191 papers that have together received 7.8k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (31 papers), Robotic Path Planning Algorithms (20 papers) and Robotic Mechanisms and Dynamics (20 papers). The work is most often cited by research in Neurology (1.4k citations), Control and Systems Engineering (2.8k citations) and Sensory Systems (570 citations). James S. Albus has collaborated with scholars based in United States, Egypt and Australia. Frequent co-authors include Roger Bostelman, Nicholas G. Dagalakis, Lawrence Goldman, Tony Barbera, Elena R. Messina, J. A. Simpson, R.J. Hocken, Huimin Huang, M L. Fitzgerald and Rosemarie Nagel. Their work appears in journals such as The Journal of Physiology, Communications of the ACM and Biophysical Journal.

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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