Stan C. Kwasny

575 total citations
26 papers, 345 citations indexed

About

Stan C. Kwasny is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Stan C. Kwasny has authored 26 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Stan C. Kwasny's work include Natural Language Processing Techniques (11 papers), Neural Networks and Applications (8 papers) and Speech and dialogue systems (5 papers). Stan C. Kwasny is often cited by papers focused on Natural Language Processing Techniques (11 papers), Neural Networks and Applications (8 papers) and Speech and dialogue systems (5 papers). Stan C. Kwasny collaborates with scholars based in United States and Saudi Arabia. Stan C. Kwasny's co-authors include Barry L. Kalman, Norman K. Sondheimer, William R. Reinus, Kanaan A. Faisal, Anthony Wilson, Andrew F. Laine, David C. Brown, B. Chandrasekaran and Georg Dorffner and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Investigative Radiology.

In The Last Decade

Stan C. Kwasny

22 papers receiving 314 citations

Peers

Stan C. Kwasny
Comparison fields: 5 of 92
  • Artificial Intelligence 211
  • Computer Vision and Pattern Recognition 45
  • Electrical and Electronic Engineering 37
  • Radiology, Nuclear Medicine and Imaging 27
  • Computational Theory and Mathematics 20
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Citations per field, relative to Stan C. Kwasny
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Citations per year, relative to Stan C. Kwasny
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Countries citing papers authored by Stan C. Kwasny

Since Specialization
Citations

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

Fields of papers citing papers by Stan C. Kwasny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stan C. Kwasny

This figure shows the co-authorship network connecting the top 25 collaborators of Stan C. Kwasny. A scholar is included among the top collaborators of Stan C. Kwasny 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 Stan C. Kwasny. Stan C. Kwasny 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
# Work Indexed citations
1 126
2 6
3 13
4 9
5 5
6 17
7 32
8
Distributed Patterns as Hierarchical Structures
3
9
Symbolic parsing via subsymbolic rules
6
10
Unifying several natural language systems in a connectionist deterministic parser
1
11 3
12
Connectionist deterministic parsing
1
13 3
14
Review of Knowledge systems and prolog: a logical approach to expert systems and natural language processing by Adrian Walker, Michael McCord, John F. Sowa, and Walter G. Wilson. Addison-Wesley 1987.
2
15
A sub-symbolic connectionist model of basic language functions
2
16 50
17 7
18 21
19 9
20 9

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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