James R. Slagle

2.1k total citations
79 papers, 1.2k citations indexed

About

James R. Slagle is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, James R. Slagle has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in James R. Slagle's work include Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (12 papers) and AI-based Problem Solving and Planning (12 papers). James R. Slagle is often cited by papers focused on Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (12 papers) and AI-based Problem Solving and Planning (12 papers). James R. Slagle collaborates with scholars based in United States, Poland and Hong Kong. James R. Slagle's co-authors include C. L. Chang, Michael R. Wick, John E. Dixon, Stephen R. Heller, Henry Hamburger, Richard C. T. Lee, Dean F. Hougen, Maria Gini, Henry J. Shine and John Dixon and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and Communications of the ACM.

In The Last Decade

James R. Slagle

74 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James R. Slagle United States	18	840	341	168	107	104	79	1.2k
Yumi Iwasaki United States	18	779 0.9×	101 0.3×	176 1.0×	83 0.8×	25 0.2×	44	1.2k
Se June Hong United States	15	272 0.3×	139 0.4×	142 0.8×	119 1.1×	48 0.5×	33	748
Yves Lespérance Canada	19	1.5k 1.8×	201 0.6×	256 1.5×	336 3.1×	90 0.9×	81	1.7k
Sicco Verwer Netherlands	14	620 0.7×	106 0.3×	237 1.4×	180 1.7×	37 0.4×	62	1.1k
Pietro Torasso Italy	17	872 1.0×	163 0.5×	216 1.3×	278 2.6×	58 0.6×	65	1.2k
Marc Denecker Belgium	18	1.2k 1.5×	197 0.6×	310 1.8×	143 1.3×	78 0.8×	125	1.5k
Christian Bessière France	22	731 0.9×	242 0.7×	1.1k 6.6×	84 0.8×	100 1.0×	93	1.6k
Zhiming Liu China	18	476 0.6×	198 0.6×	194 1.2×	321 3.0×	51 0.5×	126	1.1k
Andreas Veneris Canada	22	303 0.4×	654 1.9×	231 1.4×	386 3.6×	26 0.3×	164	1.9k
Bryan Horling United States	17	667 0.8×	36 0.1×	439 2.6×	164 1.5×	141 1.4×	46	1.1k

Countries citing papers authored by James R. Slagle

Since Specialization

Citations

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

Fields of papers citing papers by James R. Slagle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Slagle. 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 James R. Slagle. The network helps show where James R. Slagle may publish in the future.

Co-authorship network of co-authors of James R. Slagle

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

All Works

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20 of 20 papers shown

Slagle, James R., et al.. (2003). Theorem proving. 1773-1776–1773-1776. 2 indexed citations

Tjan, Bosco S., et al.. (2002). A data-flow graphical user interface for querying a scientific database. 38. 49–54. 5 indexed citations

Hougen, Dean F., Maria Gini, & James R. Slagle. (2000). An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control. International Conference on Machine Learning. 383–390. 3 indexed citations

Slagle, James R., Maria Gini, & Dean F. Hougen. (1998). Connectionist reinforcement learning for control of robotic systems. 2 indexed citations

Slagle, James R., et al.. (1997). Connection based strategies for deciding propositional temporal logic. National Conference on Artificial Intelligence. 172–177. 3 indexed citations

Slagle, James R., et al.. (1996). The use of artificially intelligent agents with bounded rationality in the study of economic markets. National Conference on Artificial Intelligence. 102–107. 4 indexed citations

Slagle, James R., et al.. (1996). A Graphical Data Flow Language for Retrieval, Analysis, and Visualization of a Scientific Database. Journal of Visual Languages & Computing. 7(3). 247–265. 10 indexed citations

Riedl, John, et al.. (1994). TREC-3 : experience with conceptual relations in information retrieval. Text REtrieval Conference. 333–352. 4 indexed citations

Tjan, Bosco S., et al.. (1992). Representing and reasoning with set referents and numerical quantifiers. Ellis Horwood eBooks. 53–66. 2 indexed citations

10.

Tjan, Bosco S., et al.. (1992). Extending conceptual structures: representation issues and reasoning operations. Ellis Horwood eBooks. 67–85. 1 indexed citations

11.

Pong, Ting-Chuen, et al.. (1990). A KNOWLEDGE-BASED SYSTEM FOR THE IMAGE CORRESPONDENCE PROBLEM. International Journal of Pattern Recognition and Artificial Intelligence. 4(1). 45–55. 2 indexed citations

12.

Matts, John P., et al.. (1989). Using Artificial Neural Nets for Statistical Discovery: Observations after Using Backpropogation, Expert Systems, and Multiple-Linear Regression on Clinical Trial Data.. Complex Systems. 3. 2 indexed citations

13.

Slagle, James R. & Michael R. Wick. (1988). A method for evaluating candidate expert system applications. AI Magazine. 9(4). 44–53. 48 indexed citations

14.

Slagle, James R., et al.. (1986). AGNESS: a generalized network-based expert system shell. National Conference on Artificial Intelligence. 996–1002. 16 indexed citations

15.

Slagle, James R., et al.. (1984). An Intelligent Control Strategy for Computer Consultation. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(2). 129–136. 9 indexed citations

16.

Slagle, James R., et al.. (1983). Expert system consultation control strategy. National Conference on Artificial Intelligence. 369–372. 3 indexed citations

17.

Gevarter, William B., et al.. (1977). Federal programs in artificial intelligence. International Joint Conference on Artificial Intelligence. 940–950. 1 indexed citations

18.

Slagle, James R., et al.. (1976). Application of clustering to estimate missing data and improve data integrity. International Conference on Software Engineering. 539–544. 10 indexed citations

19.

Slagle, James R.. (1971). Artificial intelligence : the heuristic programming approach. McGraw-Hill eBooks. 79 indexed citations

20.

Slagle, James R., et al.. (1969). Completeness theorems for semantic resolution in consequence-finding. International Joint Conference on Artificial Intelligence. 281–285. 23 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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