Philip Klahr

874 citations
34 papers · 557 indexed · h-index 9
Topics
Simulation Techniques and Applications (7 papers)Semantic Web and Ontologies (6 papers)Advanced Database Systems and Queries (5 papers)
Journals
California Management ReviewAI MagazineOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Partner nations
United States

In The Last Decade

Philip Klahr

28 papers receiving 440 citations

Peers

Philip Klahr
Comparison fields: 5 of 76
  • Artificial Intelligence 181
  • Strategy and Management 170
  • Communication 144
  • Management Science and Operations Research 84
  • Information Systems and Management 61
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Citations per field
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A.R. Venkatachalam · 1×
Citations per year

Countries citing papers authored by Philip Klahr

Since Specialization
Citations

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

Fields of papers citing papers by Philip Klahr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Klahr. 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 Philip Klahr. The network helps show where Philip Klahr may publish in the future.

Co-authorship network of co-authors of Philip Klahr

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Klahr. A scholar is included among the top collaborators of Philip Klahr 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 Philip Klahr. Philip Klahr 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
Getting down to cases: seven principles for an effective CBR strategy
0
2
Developing and Deploying Knowledge on a Global Scale.
1
3 8
4
TIES: An Engineering Design Methodology and System
4
5
A Real-Time Alarm Analysis Advisor
8
6
The Authorizer's Assistant: A Knowledge-Based Credit Authorization System for American Express.
6
7
Exemplary programming: applications and design considerations
4
8 11
9
Expert systems techniques, tools and applications
46
10
ROSS: an object-oriented language for constructing simulations
34
11
Twirl: Tactical Warfare in the Ross Language
17
12 1
13
SWIRL: an object-oriented air battle simulator
12
14 11
15
Learning and abstraction in simulation
3
16
Conditional answers in question-answering systems
0
17
Cognitive economy in artificial intelligence systems
5
18
Deductive methods for large data bases
3
19 6
20
A deductive capability for data management
5

About Philip Klahr

Philip Klahr is a scholar working on Management Science and Operations Research, Development and Artificial Intelligence, having authored 34 papers that have together received 557 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (7 papers), Semantic Web and Ontologies (6 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Communication (144 citations), Strategy and Management (170 citations) and Information Systems and Management (61 citations). Philip Klahr has collaborated with scholars based in United States. Frequent co-authors include Thomas H. Davenport, D. A. Waterman, David McArthur, Frederick Hayes‐Roth, Sanjai Narain, Stanley J. Rosenschein, John W. Ellis, Raymond Scott Turner, Sarah E. Goldin and Douglas B. Lenat. Their work appears in journals such as California Management Review, AI Magazine and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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