Michael D. Rychener

691 citations
24 papers · 305 · h-index 8

Impact in

Papers in

Michael D. Rychener

20 papers receiving 275 citations

Peers

Michael D. Rychener
Comparison fields: 5 of 60
  • Control and Systems Engineering 100
  • Catalysis 30
  • Industrial and Manufacturing Engineering 41
  • Artificial Intelligence 106
  • Computational Theory and Mathematics 36
Replace Tomio Umeda with:
Tomio Umeda Japan
Yiqing Luo China
Naonori Nishida Japan
Xiaoyun Qin China
Mattia Vallerio Belgium
Karsten‐Ulrich Klatt Germany
Endre Rév Hungary
Michael L. Luyben United States
Björn D. Tyréus United States
Yuxin Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Rychener

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Rychener

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Michael D. Rychener, 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 Michael D. Rychener Line = papers co-authored together Michael D. Rychener links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198553
2 198248
3 198739
4
Production systems as a programming language for artificial intelligence applications.
197638
5 198535
6 198830
7 19868
8 19778
9 19867
10 19817
11 19906
12
Integration of multiple knowledge sources in ALADIN, an alloy design system
19865
13 19775
14
The Metallurgical Database of Aladin -an Alloy Design System
19875
15 19864
16 20182
17 20182
18
The Development of ALADIN (Aluminum Alloy Design Inventor), an Expert System for Aluminum Alloy Design.
19861
19 20181
20 19871

About Michael D. Rychener

Michael D. Rychener is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Mechanical Engineering, Control and Systems Engineering and Ocean Engineering, having authored 24 papers that have together received 305 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (10 papers), Manufacturing Process and Optimization (10 papers), Semantic Web and Ontologies (4 papers), Reservoir Engineering and Simulation Methods (4 papers), Process Optimization and Integration (3 papers), Scheduling and Optimization Algorithms (3 papers), Design Education and Practice (2 papers) and Material Selection and Properties (2 papers). The work is most often cited by research in Control and Systems Engineering (100 citations), Catalysis (30 citations), Industrial and Manufacturing Engineering (41 citations), Artificial Intelligence (106 citations) and Computational Theory and Mathematics (36 citations). Michael D. Rychener has collaborated with scholars based in United States. Frequent co-authors include Arthur W. Westerberg, René Bañares‐Alcántara, E.I. Ko, D. Sriram, Mark S. Fox, Allen Newell, M. A. Przystupa and Eswaran Subrahmanian. Their work appears in journals such as Computers & Chemical Engineering, IEEE Software, Artificial intelligence for engineering design analysis and manufacturing, Chemical Engineering Communications and Expert Systems.

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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