The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lawrence D. Jackel sits on this spectrum.
This scientist: 74 publications — 2nd percentile
2% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lawrence D. Jackel sits on this spectrum.
This scientist: 35 D-Index — 20th percentile
20% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Lawrence D. Jackel is affiliated with the Toyota Research Institute in the United States. Their research contributions span the fields of microscience and machine learning, with particular emphasis on increasing scientific understanding and the development of technology applied to systems of commercial and industrial significance.
Jackel has been recognized with two major professional distinctions during their career. They were named a Fellow of the American Physical Society (APS) in 1997 for sustained contributions to the combined areas of microscience and machine learning. The citation highlighted their role in advancing scientific knowledge and applying this knowledge to real-world technological systems.
Earlier, in 1992, Jackel was honored as an IEEE Fellow. This award was given for leadership in applying neural networks to pattern recognition as well as for developing electronic systems that implement these neural networks. These contributions reflect a focus on both theoretical and practical aspects of neural network technology within electronic hardware frameworks.
The scientist's work integrates interdisciplinary approaches, linking physical sciences with computational methods. Their expertise lies in areas involving neural networks, pattern recognition, and their application to electronic and industrial systems.
Y. LeCun;B. Boser;J. S. Denker;D. Henderson
Yann LeCun;Bernhard E. Boser;John S. Denker;John S. Denker;Donnie Henderson
Mariusz Bojarski;Davide Del Testa;Daniel Dworakowski;Bernhard Firner
L. Bottou;C. Cortes;C. Cortes;J.S. Denker;J.S. Denker;H. Drucker;H. Drucker
Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;Corinna Cortes;Corinna Cortes
Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;A. Brunot
Y. Le Cun;L.D. Jackel;B. Boser;J.S. Denker
John S. Denker;Daniel B. Schwartz;Ben S. Wittner;Sara A. Solla
Harris Drucker;Corinna Cortes;L. D. Jackel;Yann LeCun
Mariusz Bojarski;Philip Yeres;Anna Choromanska;Krzysztof Choromanski
H. P. Graf;L. D. Jackel;R. E. Howard;B. Straughn
Evelyn L. Hu;Lawrence D. Jackel
Hans P. Graf;Lawrence D. Jackel;Wayne E. Hubbard
B.E. Boser;E. Sackinger;J. Bromley;Y. Le Cun
John S. Denker;W. R. Gardner;Hans Peter Graf;Donnie Henderson
E. Sackinger;B.E. Boser;J. Bromley;Y. LeCun
Corinna Cortes;L. D. Jackel;Sara A. Solla;Vladimir Vapnik
John S. Denker;Hans P. Graf;Donnie Henderson;Richard E. Howard
John S. Denker;Richard E. Howard;Lawrence D. Jackel;Yann Lecun
Ronald J. Brachman;Donnie Henderson;Lawrence David Jackel;Frederick Kenneth Schmidt
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Exploring these online degrees not only broadens your skills but also enhances your career opportunities in technology and engineering fields worldwide.
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