Stephen I. Gallant

2.1k total citations
22 papers, 1.2k citations indexed

About

Stephen I. Gallant is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen I. Gallant has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen I. Gallant's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Speech and dialogue systems (3 papers). Stephen I. Gallant is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Speech and dialogue systems (3 papers). Stephen I. Gallant collaborates with scholars based in United States, Canada and Japan. Stephen I. Gallant's co-authors include John H. L. Hansen, Bryan Pellom, Kathryn H. Arehart, Susan Dumais, W. Dixon Ward, Pongtep Angkititrakul, Umit Yapanel, Wayne Ward, Ronald A. Cole and Robert Hecht-Nielsen and has published in prestigious journals such as Communications of the ACM, Neural Computation and Neural Networks.

In The Last Decade

Stephen I. Gallant

20 papers receiving 1.1k citations

Peers

Stephen I. Gallant
Steven A. Harp United States
Fukunaga Japan
Kenneth W. Bauer United States
Aaron Klein Germany
P.K. Simpson United States
Edward Snelson United Kingdom
Steven A. Harp United States
Stephen I. Gallant
Citations per year, relative to Stephen I. Gallant Stephen I. Gallant (= 1×) peers Steven A. Harp

Countries citing papers authored by Stephen I. Gallant

Since Specialization
Citations

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

Fields of papers citing papers by Stephen I. Gallant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen I. Gallant. 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 Stephen I. Gallant. The network helps show where Stephen I. Gallant may publish in the future.

Co-authorship network of co-authors of Stephen I. Gallant

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen I. Gallant. A scholar is included among the top collaborators of Stephen I. Gallant 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 Stephen I. Gallant. Stephen I. Gallant 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.
Gallant, Stephen I., et al.. (2016). Positional binding with distributed representations. 25. 108–113. 13 indexed citations
3.
Arehart, Kathryn H., et al.. (2003). Evaluation of an auditory masked threshold noise suppression algorithm in normal-hearing and hearing-impaired listeners. Speech Communication. 40(4). 575–592. 26 indexed citations
5.
Hansen, John H. L., Pongtep Angkititrakul, Stephen I. Gallant, et al.. (2001). CU-move": Analysis & corpus development for interactive in-vehicle speech systems. Conference of the International Speech Communication Association. 2023–2026. 21 indexed citations
6.
Hansen, John H. L., Pongtep Angkititrakul, Stephen I. Gallant, et al.. (2001). CU-move : analysis & corpus development for interactive in-vehicle speech systems. 2023–2026. 9 indexed citations
7.
Hansen, John H. L., et al.. (2000). CU-move: robust speech processing for in-vehicle speech systems. vol. 1, 524–527. 24 indexed citations
8.
Gallant, Stephen I.. (1998). Expert systems and decision systems using neural networks. MIT Press eBooks. 377–380. 2 indexed citations
9.
Gallant, Stephen I., et al.. (1993). Feedback and mixing experiments with MatchPlus. Text REtrieval Conference. 101–104. 5 indexed citations
10.
Gallant, Stephen I.. (1993). Neural Network Expert Systems. 253–253. 1 indexed citations
11.
Gallant, Stephen I., et al.. (1993). MatchPlus. 396–396. 1 indexed citations
12.
Gallant, Stephen I.. (1993). Neural Network Learning and Expert Systems. The MIT Press eBooks. 264 indexed citations
13.
Gallant, Stephen I., et al.. (1993). TIPSTER phase I final report. 69–69. 1 indexed citations
14.
Gallant, Stephen I., et al.. (1992). TIPSTER Panel - HNC's MatchPlus System.. Text REtrieval Conference. 16(3). 107–111. 2 indexed citations
15.
Gallant, Stephen I., et al.. (1992). HNC's MatchPlus system. ACM SIGIR Forum. 26(2). 34–38. 8 indexed citations
16.
Gallant, Stephen I.. (1991). A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks. Neural Computation. 3(3). 293–309. 35 indexed citations
17.
Gallant, Stephen I.. (1990). Perceptron-based learning algorithms. IEEE Transactions on Neural Networks. 1(2). 179–191. 340 indexed citations
18.
Gallant, Stephen I.. (1990). A connectionist learning algorithm with provable generalization and scaling bounds. Neural Networks. 3(2). 191–201. 18 indexed citations
19.
Gallant, Stephen I.. (1988). Connectionist expert systems. Communications of the ACM. 31(2). 152–169. 439 indexed citations
20.
Gallant, Stephen I.. (1985). Automatic Generation of Expert Systems from Examples.. 313–319. 11 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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