Leemon C. Baird

2.3k citations
55 papers · 757 · h-index 15

Impact in

Papers in

Leemon C. Baird

48 papers receiving 672 citations

Peers

Leemon C. Baird
Comparison fields: 5 of 100
  • Artificial Intelligence 355
  • Computational Theory and Mathematics 164
  • Computer Networks and Communications 139
  • Control and Systems Engineering 136
  • Computer Science Applications 30
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Bruno Apolloni Italy
Ajay Kumar India
Eli Shamir Israel
Oscar Camacho-Nieto Mexico
Dawei Wang China
Mahdi Soltanolkotabi United States
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Manuel Alfonseca Spain
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Citations per field
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Citations per year

Countries citing papers authored by Leemon C. Baird

Since Specialization
Citations

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

Fields of papers citing papers by Leemon C. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leemon C. Baird. 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 Leemon C. Baird. The network helps show where Leemon C. Baird may publish in the future.

Co-authors

The 25 scholars most cited alongside Leemon C. Baird, 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 Leemon C. Baird Line = papers co-authored together Leemon C. Baird links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gradient Descent for General Reinforcement Learning
1998160
2 1994115
3 200740
4 198130
5 202027
6 199526
7
Advantage Updating Applied to a Differential Game
199426
8 200326
9
GRASP: A Visualization Tool for Teaching Security Protocols
200625
10
JAM-RESISTANT COMMUNICATION WITHOUT SHARED SECRETS THROUGH THE USE OF CONCURRENT CODES
200724
11 200623
12 197221
13
Multi-value-functions: efficient automatic action hierarchies for multiple goal MDPs
199921
14
Residual Q-Learning Applied to Visual Attention
199618
15 201818
16 199814
17 197012
18 200611
19
Meeting the criteria for a Center of Academic Excellence (CAE) in information assurance education
200610
20 20018

About Leemon C. Baird

Leemon C. Baird is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 55 papers that have together received 757 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Reinforcement Learning in Robotics (8 papers), Adaptive Dynamic Programming Control (6 papers), Teaching and Learning Programming (6 papers), Wireless Communication Security Techniques (5 papers), Advanced Malware Detection Techniques (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Cryptographic Implementations and Security (4 papers). The work is most often cited by research in Artificial Intelligence (355 citations), Computational Theory and Mathematics (164 citations), Computer Networks and Communications (139 citations), Control and Systems Engineering (136 citations) and Computer Science Applications (30 citations). Leemon C. Baird has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Andrew Moore, Dino Schweitzer, A. Harry Klopf, Michael D. Collins, Atul Luykx, Martin C. Carlisle, Sean Weaver, Marios M. Polycarpou, Rémi Munos and Leslie Pack Kaelbling. Their work appears in journals such as Medical Physics, Adaptive Behavior, Pediatric Anesthesia, Journal of Mathematical Imaging and Vision and SIAM Journal on Mathematical Analysis.

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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