Larry Davis

51 papers receiving 647 citations

Peers

Larry Davis
Comparison fields: 5 of 104
  • Human-Computer Interaction 114
  • Language and Linguistics 162
  • Literature and Literary Theory 94
  • Computer Vision and Pattern Recognition 160
  • Media Technology 50
Replace Yu-Ping Wang with:
Yu-Ping Wang China
Nicholas Evans France
Mehdi Nasri Iran
Chunyu Hu China
Adam Janin United States
Noriko Iwasaki Japan
Raj Reddy United States
George Kokkinakis Greece
Dingzeyu Li United States
Reinhard Kneser Germany
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Citations per year

Countries citing papers authored by Larry Davis

Since Specialization
Citations

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

Fields of papers citing papers by Larry Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry Davis. 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 Larry Davis. The network helps show where Larry Davis may publish in the future.

Co-authors

The 25 scholars most cited alongside Larry Davis, 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 Larry Davis Line = papers co-authored together Larry Davis 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 2001116
2 200279
3 200973
4 201571
5 199852
6 200837
7 200237
8 199929
9 198123
10 199319
11 201115
12 199614
13 201912
14 199412
15 199512
16 20159
17 20079
18 20058
19
Hybrid genetic algorithms for machine learning
19908
20 20218

About Larry Davis

Larry Davis is a scholar working on Control and Systems Engineering, Artificial Intelligence, Language and Linguistics, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 55 papers that have together received 743 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (9 papers), Control Systems and Identification (7 papers), Model Reduction and Neural Networks (7 papers), Probabilistic and Robust Engineering Design (6 papers), Second Language Learning and Teaching (5 papers), Augmented Reality Applications (5 papers), Second Language Acquisition and Learning (3 papers) and Spacecraft Design and Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (114 citations), Language and Linguistics (162 citations), Literature and Literary Theory (94 citations), Computer Vision and Pattern Recognition (160 citations) and Media Technology (50 citations). Larry Davis has collaborated with scholars based in United States and Australia. Frequent co-authors include Jannick P. Rolland, Yohan Baillot, Emmanuel G. Collins, Anne Lazaraton, John H. Reif, Akitoshi Yoshida, David C. Hyland, Gary G. Yen, Lin Gu and Alok Das. Their work appears in journals such as Assessment in Education Principles Policy and Practice, IEEE Transactions on Automatic Control, Language Testing, SIAM Journal on Matrix Analysis and Applications and Journal of Voice.

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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