Daniel Kuokka

1.1k citations
17 papers · 671 · h-index 11

Impact in

Papers in

Daniel Kuokka

16 papers receiving 537 citations

Peers

Daniel Kuokka
Comparison fields: 5 of 63
  • Artificial Intelligence 510
  • Computer Networks and Communications 199
  • Management Information Systems 75
  • Management of Technology and Innovation 49
  • Information Systems 137
Replace Steven P. Ketchpel with:
Steven P. Ketchpel United States
Robin McEntire United States
Francis G. McCabe United Kingdom
Jon Siegel Germany
Seán Baker United States
David Rosenblitt United States
Rachid Anane United Kingdom
Dan Harkey United States
Robert Orfali United States
Olivier Gutknecht France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Kuokka

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kuokka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Daniel Kuokka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kuokka Line = papers co-authored together Daniel Kuokka links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1989140
2
Explanation-based learning: a problem solving perspective
1990125
3 1993119
4 199556
5 199651
6 199749
7
On Using KQML for Matchmaking
199547
8
A collaborative parametric design agent
199415
9
The deliberative integration of planning, execution, and learning
199015
10 199514
11
Supporting Information Retrieval via Matchmaking
199512
12 19919
13 19969
14 19954
15
Integrating planning, execution, and learning
19893
16
An Evolution of Collaborative Design Tools
19943
17 20030

About Daniel Kuokka

Daniel Kuokka is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management of Technology and Innovation and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 671 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), AI-based Problem Solving and Planning (4 papers), Advanced Database Systems and Queries (4 papers), Multi-Agent Systems and Negotiation (4 papers), Service-Oriented Architecture and Web Services (3 papers), Manufacturing Process and Optimization (3 papers), Business Process Modeling and Analysis (2 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Artificial Intelligence (510 citations), Computer Networks and Communications (199 citations), Management Information Systems (75 citations), Management of Technology and Innovation (49 citations) and Information Systems (137 citations). Daniel Kuokka has collaborated with scholars based in United States and France. Frequent co-authors include Oren Etzioni, Steven Minton, Jaime Carbonell, Yolanda Gil, Craig A. Knoblock, Jay M. Tenenbaum, Jay C. Weber, James G. McGuire, Thomas Gruber and Gregory R. Olsen. Their work appears in journals such as Artificial intelligence for engineering design analysis and manufacturing, Communications of the ACM, Journal of Intelligent Information Systems, PLoS ONE and Artificial Intelligence.

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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