Ted Kaehler
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
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- Teaching and Learning Programming
Papers in
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- Logic, programming, and type systems 8
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- Parallel Computing and Optimization Techniques 3
- Co-authors
- Alan C. Kay (4 shared papers)Dan H.H. Ingalls (2 shared papers)John H. Maloney (2 shared papers)Scott A. Wallace (2 shared papers)Aran Lunzer (2 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)Lecture notes in computer science (1 paper)University of Michigan Library Repository (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Morgan Kaufmann Publishers Inc. eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Ted Kaehler
11 papers receiving 460 citations
Peers
Comparison fields: 5 of 30
- Software 71
- Computer Science Applications 60
- Artificial Intelligence 287
- Hardware and Architecture 46
- Information Systems 137
Countries citing papers authored by Ted Kaehler
This map shows the geographic impact of Ted Kaehler'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 Ted Kaehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Kaehler more than expected).
Fields of papers citing papers by Ted Kaehler
This network shows the impact of papers produced by Ted Kaehler. 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 Ted Kaehler. The network helps show where Ted Kaehler may publish in the future.
Co-authors
The 5 scholars most cited alongside Ted Kaehler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 335 | |
| 2 | 1997 | 67 | |
| 3 | 1986 | 39 | |
| 4 | LOOM: large object-oriented memory for Smalltalk-80 systems | 1989 | 33 |
| 5 | 1986 | 23 | |
| 6 | 2011 | 17 | |
| 7 | 2013 | 11 | |
| 8 | 2011 | 9 | |
| 9 | 2009 | 4 | |
| 10 | A TASTE OF SMALLTALK | 1986 | 3 |
| 11 | Some Music at Xerox PARC | 1975 | 1 |
| 12 | Making A pplications in KSWorld | 2013 | 1 |
About Ted Kaehler
Ted Kaehler is a scholar working on Artificial Intelligence, Hardware and Architecture, Software, Computer Science Applications and Human-Computer Interaction, having authored 12 papers that have together received 543 indexed citations. Recurring topics across this work include Logic, programming, and type systems (8 papers), Parallel Computing and Optimization Techniques (3 papers), Usability and User Interface Design (2 papers), Teaching and Learning Programming (2 papers), Web Applications and Data Management (2 papers), Music Technology and Sound Studies (1 paper), Educational Technology and E-Learning (1 paper) and Spreadsheets and End-User Computing (1 paper). The work is most often cited by research in Software (71 citations), Computer Science Applications (60 citations), Artificial Intelligence (287 citations), Hardware and Architecture (46 citations) and Information Systems (137 citations). Ted Kaehler has collaborated with scholars based in United States. Frequent co-authors include Alan C. Kay, Dan H.H. Ingalls, John H. Maloney, Scott A. Wallace and Aran Lunzer. Their work appears in journals such as ACM SIGPLAN Notices, Lecture notes in computer science, University of Michigan Library Repository, HAL (Le Centre pour la Communication Scientifique Directe) and Morgan Kaufmann Publishers Inc. eBooks.
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.