Randall W. Hill

1.3k citations
36 papers · 650 indexed · h-index 12
Topics
AI-based Problem Solving and Planning (13 papers)Multi-Agent Systems and Negotiation (6 papers)Spatial Cognition and Navigation (6 papers)
Partner nations
United StatesChina

In The Last Decade

Randall W. Hill

32 papers receiving 521 citations

Peers

Randall W. Hill
Comparison fields: 5 of 80
  • Artificial Intelligence 317
  • Social Psychology 152
  • Control and Systems Engineering 106
  • Computer Vision and Pattern Recognition 106
  • Developmental and Educational Psychology 98
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Citations per field
00.5×4.2×
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Countries citing papers authored by Randall W. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Randall W. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall W. Hill. 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 Randall W. Hill. The network helps show where Randall W. Hill may publish in the future.

Co-authorship network of co-authors of Randall W. Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Randall W. Hill. A scholar is included among the top collaborators of Randall W. Hill 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 Randall W. Hill. Randall W. Hill 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 49
2 112
3
AXL.NET: WEB-ENABLED CASE METHOD INSTRUCTION FOR ACCELERATING TACIT KNOWLEDGE ACQUISITION IN LEADERS
0
4 58
5
Simulation Meets Hollywood: Integrating Graphics, Sound, Story and Character for Immersive Simulation
6
6 3
7
Towards Virtual Humans.
5
8
LEARNING THE LESSONS OF LEADERSHIP EXPERIENCE: TOOLS FOR INTERACTIVE CASE METHOD ANALYSIS
13
9 10
10 3
11 10
12 14
13
Steve Goes to Bosnia: Towards a New Generation of Virtual Humans for Interactive Experiences
41
14 7
15
Continuous Planning and Collaboration for Command and Control in Joint Synthetic Battlespaces
7
16
Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft
36
17
Why real-world planning is difficult: a tale of two applications
17
18
Planning for Deep Space Network Operations
5
19
Situated plan attribution for intelligent tutoring
8
20
Process control and recovery in the Link Monitor and Control Operator Assistant
4

About Randall W. Hill

Randall W. Hill is a scholar working on Artificial Intelligence, Automotive Engineering and Social Psychology, having authored 36 papers that have together received 650 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (13 papers), Multi-Agent Systems and Negotiation (6 papers) and Spatial Cognition and Navigation (6 papers). The work is most often cited by research in Human-Computer Interaction (87 citations), Artificial Intelligence (317 citations) and Developmental and Educational Psychology (98 citations). Randall W. Hill has collaborated with scholars based in United States and China. Frequent co-authors include Jonathan Gratch, Stacy Marsella, Jeff Rickel, William Swartout, David Traum, Eduard Hovy, Eric Forbell, John Hart, H. Chad Lane and Mark G. Core. Their work appears in journals such as Nature Genetics, AI Magazine and International Journal of Artificial Intelligence in Education.

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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