Dan Ingalls
- Software top 5%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 2
- Information Systems top 2%
- Web Data Mining and Analysis 2
- Human-Computer Interaction top 10%
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- Distributed and Parallel Computing Systems 5
- Peer-to-Peer Network Technologies 2
- Advanced Database Systems and Queries 2
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- Algorithms and Data Compression 3
- Evolutionary Algorithms and Applications 2
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- Mathematics, Computing, and Information Processing 2
- Co-authors
- Scott WallaceAlan KayJohn MaloneyTed KaehlerKrzysztof PalaczTommi MikkonenAntero TaivalsaariRobert Hirschfeld
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Dan Ingalls
14 papers receiving 461 citations
Peers
Comparison fields: 5 of 47
- Software 136
- Hardware and Architecture 117
- Computer Science Applications 84
- Information Systems 278
- Human-Computer Interaction 54
Countries citing papers authored by Dan Ingalls
This map shows the geographic impact of Dan Ingalls'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 Dan Ingalls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ingalls more than expected).
Fields of papers citing papers by Dan Ingalls
This network shows the impact of papers produced by Dan Ingalls. 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 Dan Ingalls. The network helps show where Dan Ingalls may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Dan Ingalls, 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 | 2015 | 2 | |
| 2 | 2014 | 9 | |
| 3 | 2014 | 9 | |
| 4 | 2012 | 14 | |
| 5 | 2009 | 22 | |
| 6 | 2009 | 10 | |
| 7 | Web browser as an application platform: the lively Kernel experience | 2008 | 35 |
| 8 | 2008 | 34 | |
| 9 | 2008 | 8 | |
| 10 | Proposal to NSF - Granted on August 31st 2006 Steps Toward The Reinvention of Programming A Compact And Practical Model of Personal Computing As A Self-Exploratorium | 2006 | 7 |
| 11 | 1997 | 279 | |
| 12 | 1997 | 48 | |
| 13 | 1988 | 26 | |
| 14 | 1988 | 103 |
About Dan Ingalls
Dan Ingalls is a scholar working on Software, Hardware and Architecture, Computer Networks and Communications, Information Systems and Management and Signal Processing, having authored 14 papers that have together received 606 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Algorithms and Data Compression (3 papers), Mathematics, Computing, and Information Processing (2 papers), Peer-to-Peer Network Technologies (2 papers), Evolutionary Algorithms and Applications (2 papers), Parallel Computing and Optimization Techniques (2 papers), Advanced Database Systems and Queries (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Software (136 citations), Hardware and Architecture (117 citations), Computer Science Applications (84 citations), Information Systems (278 citations) and Human-Computer Interaction (54 citations). Dan Ingalls has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Scott Wallace, Alan Kay, John Maloney, Ted Kaehler, Krzysztof Palacz, Tommi Mikkonen, Antero Taivalsaari, Robert Hirschfeld, Robert Krahn and Jens Lincke. Their work appears in journals such as ACM SIGPLAN Notices and ACM SIGMETRICS Performance Evaluation Review.
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.