Steven E. Hampson

1.3k total citations
17 papers, 322 citations indexed

About

Steven E. Hampson is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Steven E. Hampson has authored 17 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Steven E. Hampson's work include Neural Networks and Applications (10 papers), Neural dynamics and brain function (5 papers) and Fuzzy Logic and Control Systems (4 papers). Steven E. Hampson is often cited by papers focused on Neural Networks and Applications (10 papers), Neural dynamics and brain function (5 papers) and Fuzzy Logic and Control Systems (4 papers). Steven E. Hampson collaborates with scholars based in United States and Taiwan. Steven E. Hampson's co-authors include Dennis Kibler, Pierre Baldi, R. S. Loomis, D. W. Rains, Yung‐Hsiang Chen, Ping H. Wang, Yuexin Shan and Tsun-Jui Liu and has published in prestigious journals such as Bioinformatics, Circulation Research and PLANT PHYSIOLOGY.

In The Last Decade

Steven E. Hampson

17 papers receiving 278 citations

Peers

Steven E. Hampson
Shiwei Ye China
Sharlee Climer United States
Emmanouil Skoufos United States
S. Usui Japan
Chris J. Needham United Kingdom
Philipp Rütimann Switzerland
Shiwei Ye China
Steven E. Hampson
Citations per year, relative to Steven E. Hampson Steven E. Hampson (= 1×) peers Shiwei Ye

Countries citing papers authored by Steven E. Hampson

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Hampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Hampson. 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 Steven E. Hampson. The network helps show where Steven E. Hampson may publish in the future.

Co-authorship network of co-authors of Steven E. Hampson

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Hampson. A scholar is included among the top collaborators of Steven E. Hampson 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 Steven E. Hampson. Steven E. Hampson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Hampson, Steven E., et al.. (2004). Statistical detection of chromosomal homology using shared-gene density alone. Computer applications in the biosciences. 21(8). 1339–1348. 20 indexed citations
2.
Chen, Yung‐Hsiang, Tsun-Jui Liu, Steven E. Hampson, et al.. (2003). Using DNA Microarray to Identify Sp1 as a Transcriptional Regulatory Element of Insulin-Like Growth Factor 1 in Cardiac Muscle Cells. Circulation Research. 93(12). 1202–1209. 38 indexed citations
3.
Hampson, Steven E., Dennis Kibler, & Pierre Baldi. (2002). Distribution patterns of over-represented k-mers in non-coding yeast DNA. Bioinformatics. 18(4). 513–528. 36 indexed citations
4.
Hampson, Steven E. & Dennis Kibler. (1999). Minimum Generalization Via Reflection: A Fast Linear Threshold Learner. Machine Learning. 37(1). 51–73. 1 indexed citations
5.
Hampson, Steven E.. (1994). Problem solving in artificial neural networks. Progress in Neurobiology. 42(2). 229–281. 1 indexed citations
6.
Hampson, Steven E.. (1991). Generalization and specialization in artificial neural networks. Progress in Neurobiology. 37(5). 383–431. 7 indexed citations
7.
Hampson, Steven E.. (1990). Connectionistic Problem Solving. Birkhäuser Boston eBooks. 19 indexed citations
8.
Hampson, Steven E., et al.. (1990). Quadratic function nodes: Use, structure and training. Neural Networks. 3(1). 93–107. 13 indexed citations
9.
Hampson, Steven E., et al.. (1990). Representing and learning Boolean functions of multivalued features. IEEE Transactions on Systems Man and Cybernetics. 20(1). 67–80. 9 indexed citations
10.
Hampson, Steven E., et al.. (1987). Learning and using specific instances. Biological Cybernetics. 57(1-2). 57–71. 17 indexed citations
11.
Hampson, Steven E., et al.. (1987). Disjunctive models of Boolean category learning. Biological Cybernetics. 56(2-3). 121–137. 20 indexed citations
12.
Hampson, Steven E., et al.. (1986). Linear function neurons: Structure and training. Biological Cybernetics. 53(4). 203–217. 48 indexed citations
13.
Hampson, Steven E., et al.. (1986). Connectionistic models of boolean category representation. Biological Cybernetics. 54(6). 393–406. 10 indexed citations
14.
Hampson, Steven E.. (1983). A neural model of adaptive behavior. eScholarship (California Digital Library). 13 indexed citations
15.
Hampson, Steven E. & Dennis Kibler. (1983). A Boolean complete neural model of adaptive behavior. Biological Cybernetics. 49(1). 9–19. 34 indexed citations
16.
Hampson, Steven E., R. S. Loomis, & D. W. Rains. (1978). Characteristics of Sugar Uptake in Hypocotyls of Cotton. PLANT PHYSIOLOGY. 62(6). 846–850. 27 indexed citations
17.
Hampson, Steven E., R. S. Loomis, & D. W. Rains. (1978). Regulation of Sugar Uptake in Hypocotyls of Cotton. PLANT PHYSIOLOGY. 62(6). 851–855. 9 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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