Ted Kaehler
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Software top 5%
Papers in
-
- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 3
- Distributed systems and fault tolerance 2
-
- Parallel Computing and Optimization Techniques 4
- Co-authors
- Alan Kay (4 shared papers)Scott Wallace (2 shared papers)Dan Ingalls (2 shared papers)John Maloney (2 shared papers)Aran Lunzer (2 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)Clinical Chemistry (1 paper)Lecture notes in computer science (1 paper)The Journal of the Abraham Lincoln Association (1 paper)Morgan Kaufmann Publishers Inc. eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Ted Kaehler
11 papers receiving 462 citations
Peers
Comparison fields: 5 of 71
- Hardware and Architecture 151
- Software 90
- Computer Science Applications 68
- Computer Networks and Communications 246
- Information Systems 208
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 | 330 | |
| 2 | 1997 | 60 | |
| 3 | 1994 | 44 | |
| 4 | 1986 | 42 | |
| 5 | LOOM: large object-oriented memory for Smalltalk-80 systems | 1989 | 32 |
| 6 | 1986 | 24 | |
| 7 | 2011 | 15 | |
| 8 | 2013 | 11 | |
| 9 | 2011 | 9 | |
| 10 | 2009 | 4 | |
| 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 Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Software and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 573 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (3 papers), Model-Driven Software Engineering Techniques (2 papers), Algorithms and Data Compression (2 papers), Evolutionary Algorithms and Applications (2 papers), Advanced Software Engineering Methodologies (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Hardware and Architecture (151 citations), Software (90 citations), Computer Science Applications (68 citations), Computer Networks and Communications (246 citations) and Information Systems (208 citations). Ted Kaehler has collaborated with scholars based in United States. Frequent co-authors include Alan Kay, Scott Wallace, Dan Ingalls, John Maloney and Aran Lunzer. Their work appears in journals such as ACM SIGPLAN Notices, Clinical Chemistry, Lecture notes in computer science, The Journal of the Abraham Lincoln Association 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.