James G. Schmolze
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Molecular Biology
- Signal Processing top 5%
- Topics
- AI-based Problem Solving and Planning (11 papers)Semantic Web and Ontologies (7 papers)Logic, Reasoning, and Knowledge (6 papers)
- Partner nations
- United StatesBritish Virgin Islands
In The Last Decade
James G. Schmolze
18 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 1.7k
- Computer Networks and Communications 484
- Information Systems 288
- Molecular Biology 208
- Signal Processing 174
Countries citing papers authored by James G. Schmolze
This map shows the geographic impact of James G. Schmolze'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 G. Schmolze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James G. Schmolze more than expected).
Fields of papers citing papers by James G. Schmolze
This network shows the impact of papers produced by James G. Schmolze. 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 G. Schmolze. The network helps show where James G. Schmolze may publish in the future.
Co-authorship network of co-authors of James G. Schmolze
This figure shows the co-authorship network connecting the top 25 collaborators of James G. Schmolze. A scholar is included among the top collaborators of James G. Schmolze 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 G. Schmolze. James G. Schmolze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Graphplan Based Conformant Planning with Limited Quantification | 0 |
| 2 | 5 | |
| 3 | PSIPLAN: open world planning with Ψ-forms | 3 |
| 4 | Knowledge representation and open world planning using psi-forms | 1 |
| 5 | 4 | |
| 6 | Detecting redundant production rules | 10 |
| 7 | 1 | |
| 8 | A Tool for Testing Confluence of Production Rules. | 3 |
| 9 | Comparison of three algorithms for ensuring serializable executions in parallel production systems | 2 |
| 10 | 177 | |
| 11 | 28 | |
| 12 | 20 | |
| 13 | A parallel asynchronous distributed production system | 25 |
| 14 | Terminological knowledge representation systems supporting N-ary terms | 16 |
| 15 | Physics for robots | 11 |
| 16 | Physics for robots: representing everday physics for robot planning | 1 |
| 17 | An Overview of the KL‐ONE Knowledge Representation System*breakdown → | 548 |
| 18 | An overview of the KL-ONE Knowledge Representation Systembreakdown → | 898 |
| 19 | Classification in the KL-ONE knowledge representation system | 97 |
| 20 | Proceedings of the 1981 KL-ONE Workshop, | 18 |
About James G. Schmolze
James G. Schmolze is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (11 papers), Semantic Web and Ontologies (7 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Computer Networks and Communications (484 citations) and Signal Processing (174 citations). James G. Schmolze has collaborated with scholars based in United States and British Virgin Islands. Frequent co-authors include R. J. Brachman, Ronald J. Brachman, William A. Woods, Wayne Snyder and Tamara Babaian. Their work appears in journals such as Cognitive Science, Knowledge-Based Systems and Computers & Mathematics with Applications.
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.