John D. Lowrance

25 papers receiving 406 citations

Peers

John D. Lowrance
Comparison fields: 5 of 61
  • Artificial Intelligence 377
  • Management Science and Operations Research 103
  • Computer Networks and Communications 88
  • Computer Vision and Pattern Recognition 75
  • Information Systems 50
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Countries citing papers authored by John D. Lowrance

Since Specialization
Citations

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

Fields of papers citing papers by John D. Lowrance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Lowrance. 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 John D. Lowrance. The network helps show where John D. Lowrance may publish in the future.

Co-authorship network of co-authors of John D. Lowrance

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Lowrance. A scholar is included among the top collaborators of John D. Lowrance 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 John D. Lowrance. John D. Lowrance 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
#WorkIndexed citations
1 8
2
Fostering Collaboration with a Semantic Index over Textual Contributions.
1
3 2
4 1
5 0
6
LAW: A Workbench for Approximate Pattern Matching in Relational Data
15
7 1
8 3
9 31
10 3
11
A generic knowledge-base browser and editor
20
12 11
13
A fuzzy controller for flakey, the robot
0
14 24
15 16
16
A framework for evidential-reasoning systems
12
17
Reasoning About Control: An Evidential Approach
5
18
Evidential Reasoning: An Implementation for Multisensor Integration
29
19
An inference technique for integrating knowledge from disparate sources
143
20
Model-building in the visions system
6

About John D. Lowrance

John D. Lowrance is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications, having authored 27 papers that have together received 505 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Logic, Reasoning, and Knowledge (6 papers) and AI-based Problem Solving and Planning (6 papers). The work is most often cited by research in Artificial Intelligence (377 citations), Management Science and Operations Research (103 citations) and Computer Networks and Communications (88 citations). John D. Lowrance has collaborated with scholars based in United States. Frequent co-authors include Thomas D. Garvey, Martin A. Fischler, David E. Wilkins, Karen L. Myers, Thomas M. Strat, Ian Harrison, Enrique H. Ruspini, Peter D. Karp, Suzanne Paley and Edward M. Riseman. Their work appears in journals such as International Journal of Approximate Reasoning, Journal of Experimental & Theoretical Artificial Intelligence and LISP and Symbolic Computation.

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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