Alan J. Perlis

3.7k citations
58 papers · 1.9k · 1 hit paper · h-index 18

Impact in

Papers in

Alan J. Perlis

54 papers receiving 1.4k citations

Alan J. Perlis's Hit Papers

Revised report on the algorithmic language ALGOL 60 1963 · 561 citations
5610+21+42Years since publication100200300400500

Peers

Alan J. Perlis
Comparison fields: 5 of 129
  • Software 264
  • Hardware and Architecture 333
  • Computational Theory and Mathematics 615
  • Artificial Intelligence 971
  • Computer Science Applications 158
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Citations per year

Countries citing papers authored by Alan J. Perlis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Alan J. Perlis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan J. Perlis Line = papers co-authored together Alan J. Perlis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Revised report on the algorithmic language ALGOL 60
Hit paper breakdown →
1963561
2 1979307
3 1960266
4 198268
5 196264
6 196056
7 196046
8 195842
9 196741
10
Concepts and models
198939
11 197732
12 197030
13 197228
14 195924
15 197923
16 196423
17 195823
18 196717
19
Software reusability: vol. 2, applications and experience
198916
20 198012

About Alan J. Perlis

Alan J. Perlis is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and Computer Science Applications, having authored 58 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), Parallel Computing and Optimization Techniques (5 papers), Computability, Logic, AI Algorithms (5 papers), Teaching and Learning Programming (5 papers), Distributed and Parallel Computing Systems (4 papers), semigroups and automata theory (4 papers) and Embedded Systems Design Techniques (3 papers). The work is most often cited by research in Software (264 citations), Hardware and Architecture (333 citations), Computational Theory and Mathematics (615 citations), Artificial Intelligence (971 citations) and Computer Science Applications (158 citations). Alan J. Perlis has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Richard J. Lipton, K. Samelson, Richard A. De Millo, J. H. Wegstein, Chaim Katz, Bernard Vauquois, Heinz Rutishauser, John McCarthy, A. van Wijngaarden and M. Woodger. Their work appears in journals such as Communications of the ACM, ACM SIGPLAN Notices, Numerische Mathematik, Journal of the ACM and Science.

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.

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