Leemon C. Baird

2.3k total citations
55 papers, 747 citations indexed

About

Leemon C. Baird is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leemon C. Baird has authored 55 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leemon C. Baird's work include Reinforcement Learning in Robotics (8 papers), Neural Networks and Applications (8 papers) and Adaptive Dynamic Programming Control (6 papers). Leemon C. Baird is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Neural Networks and Applications (8 papers) and Adaptive Dynamic Programming Control (6 papers). Leemon C. Baird collaborates with scholars based in United States, United Kingdom and Japan. Leemon C. Baird's co-authors include Andrew Moore, Dino Schweitzer, A. Harry Klopf, Michael D. Collins, Atul Luykx, Sean Weaver, Martin C. Carlisle, Marios M. Polycarpou, Rémi Munos and Leslie Pack Kaelbling and has published in prestigious journals such as Medical Physics, American Journal of Physics and Journal of Mathematical Physics.

In The Last Decade

Leemon C. Baird

47 papers receiving 661 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leemon C. Baird United States 15 355 164 138 135 95 55 747
Guy Lever United Kingdom 9 571 1.6× 107 0.7× 133 1.0× 98 0.7× 53 0.6× 15 792
Ajay Kumar India 13 352 1.0× 88 0.5× 105 0.8× 36 0.3× 73 0.8× 63 731
Bruno Apolloni Italy 14 367 1.0× 110 0.7× 47 0.3× 60 0.4× 41 0.4× 98 690
Lie‐Quan Lee United States 11 139 0.4× 104 0.6× 145 1.1× 28 0.2× 126 1.3× 30 689
Allon G. Percus United States 18 351 1.0× 195 1.2× 197 1.4× 81 0.6× 67 0.7× 38 1.1k
Yuliy Baryshnikov United States 18 130 0.4× 151 0.9× 125 0.9× 54 0.4× 61 0.6× 83 817
Oscar Camacho-Nieto Mexico 19 433 1.2× 44 0.3× 38 0.3× 160 1.2× 78 0.8× 91 926
Mahdi Soltanolkotabi United States 13 428 1.2× 61 0.4× 123 0.9× 57 0.4× 106 1.1× 35 905
Eli Shamir Israel 15 893 2.5× 271 1.7× 143 1.0× 30 0.2× 51 0.5× 32 1.3k
Mark Rowland United States 11 277 0.8× 55 0.3× 60 0.4× 73 0.5× 117 1.2× 34 628

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-authorship network of co-authors of Leemon C. Baird

This figure shows the co-authorship network connecting the top 25 collaborators of Leemon C. Baird. A scholar is included among the top collaborators of Leemon C. Baird 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 Leemon C. Baird. Leemon C. Baird 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
1.
2.
Baird, Leemon C.. (2018). Reinforcement Learning Through Gradient Descent. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 18 indexed citations
3.
Baird, Leemon C., et al.. (2015). A new algorithm for unkeyed jam resistance. 210–216.
4.
Baird, Leemon C. & Barry Fagin. (2008). Conservation Functions for 1-D Automata: Efficient Algorithms, New Results, and a Partial Taxonomy.. 3. 271–288.
5.
Baird, Leemon C., et al.. (2008). A Graph Drawing Algorithm for the Game of Sprouts.. 117–121.
6.
Baird, Leemon C., et al.. (2007). The use of concurrent codes in computer programming and digital signal processing education. Journal of computing sciences in colleges. 23(1). 174–180. 6 indexed citations
7.
Schweitzer, Dino, Jeffrey W. Humphries, & Leemon C. Baird. (2006). Meeting the criteria for a Center of Academic Excellence (CAE) in information assurance education. Journal of computing sciences in colleges. 22(1). 151–160. 10 indexed citations
8.
Schweitzer, Dino & Leemon C. Baird. (2006). The Design and Use of Interactive Visualization Applets for Teaching Ciphers. 46. 69–75. 23 indexed citations
9.
Fagin, Barry, et al.. (2006). Critical thinking and computer science: implicit and explicit connections. Journal of computing sciences in colleges. 21(4). 171–177. 11 indexed citations
10.
Baird, Leemon C., et al.. (2006). One-step neural network inversion with PDF learning and emulation. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 966–971. 5 indexed citations
11.
Weaver, Sean, Leemon C. Baird, & Marios M. Polycarpou. (2001). Using localizing learning to improve supervised learning algorithms. IEEE Transactions on Neural Networks. 12(5). 1037–1046. 8 indexed citations
12.
Baird, Leemon C., et al.. (1999). Clinically shaped fields: Relative outputs for Varian multileaf collimators and tray‐mounted cerrobend blocks. Medical Physics. 26(7). 1257–1259. 1 indexed citations
13.
Baird, Leemon C. & Andrew Moore. (1998). Gradient Descent for General Reinforcement Learning. Neural Information Processing Systems. 11. 968–974. 159 indexed citations
14.
Weaver, Sean, Leemon C. Baird, & Marios M. Polycarpou. (1998). An analytical framework for local feedforward networks. IEEE Transactions on Neural Networks. 9(3). 473–482. 14 indexed citations
15.
Bandera, César, et al.. (1996). Residual Q-Learning Applied to Visual Attention. International Conference on Machine Learning. 20–27. 18 indexed citations
16.
Baird, Leemon C., et al.. (1995). Reinforcement Learning Applied to a Differential Game. Adaptive Behavior. 4(1). 3–28. 26 indexed citations
17.
Baird, Leemon C., et al.. (1994). Advantage Updating Applied to a Differential Game. Neural Information Processing Systems. 7. 353–360. 26 indexed citations
18.
Baird, Leemon C. & A. Harry Klopf. (1993). Extensions of the Associative Control Process (ACP) Network: Hierarchies and Provable Optimality. The MIT Press eBooks. 162–170. 1 indexed citations
19.
Baird, Leemon C. & Patrick S. P. Wang. (1992). <title>Three-dimensional object recognition using gradient descent and the universal 3-D array grammar</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1607. 711–719. 4 indexed citations
20.
Baird, Leemon C.. (1980). How big is a pinhole?. Medical Physics. 7(1). 64–64. 3 indexed citations

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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