Alan J. Perlis
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Hardware and Architecture top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Richard J. LiptonK. SamelsonChaim KatzA. van WijngaardenBernard VauquoisFriedrich L. BauerJohn McCarthyJohn Backus
- Topics
- Logic, programming, and type systems (8 papers)Algorithms and Data Compression (7 papers)Parallel Computing and Optimization Techniques (5 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Alan J. Perlis
54 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 972
- Computational Theory and Mathematics 609
- Hardware and Architecture 331
- Information Systems 312
- Computer Networks and Communications 283
Countries citing papers authored by Alan J. Perlis
This map shows the geographic impact of Alan J. Perlis'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 Alan J. Perlis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan J. Perlis more than expected).
Fields of papers citing papers by Alan J. Perlis
This network shows the impact of papers produced by Alan J. Perlis. 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 Alan J. Perlis. The network helps show where Alan J. Perlis may publish in the future.
Co-authorship network of co-authors of Alan J. Perlis
This figure shows the co-authorship network connecting the top 25 collaborators of Alan J. Perlis. A scholar is included among the top collaborators of Alan J. Perlis 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 Alan J. Perlis. Alan J. Perlis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | Software reusability: vol. 2, applications and experience | 16 |
| 5 | Applications and experience | 5 |
| 6 | Concepts and models | 39 |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 23 | |
| 10 | 33 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | An introductory course in computer programming | 3 |
| 17 | Symposium on automatic programming. | 2 |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 41 |
About Alan J. Perlis
Alan J. Perlis is a scholar working on Computer Science Applications, Hardware and Architecture and Computational Theory and Mathematics, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Logic, programming, and type systems (8 papers), Algorithms and Data Compression (7 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Software (260 citations), Hardware and Architecture (331 citations) and Computational Theory and Mathematics (609 citations). Alan J. Perlis has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Richard J. Lipton, K. Samelson, Chaim Katz, A. van Wijngaarden, Bernard Vauquois, Friedrich L. Bauer, John McCarthy, John Backus, Heinz Rutishauser and J. H. Wegstein. Their work appears in journals such as Science, Communications of the ACM and Mathematics of Computation.
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.