Peter Weiner

28 papers receiving 1.1k citations

Hit Papers

Linear pattern matching algorithms19732026199020081973250500750

Peers

Peter Weiner
Comparison fields: 5 of 75
  • Artificial Intelligence 888
  • Molecular Biology 455
  • Computational Theory and Mathematics 418
  • Hardware and Architecture 321
  • Computer Networks and Communications 242
Replace Dov Harel with:
Dov Harel United States
Moshe Lewenstein Israel
Rajeev Raman United Kingdom
Robert Paige United States
L. Berman United States
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Lawrence T. Kou United States
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Peter Weiner

Since Specialization
Citations

This map shows the geographic impact of Peter Weiner'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 Peter Weiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Weiner more than expected).

Fields of papers citing papers by Peter Weiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Weiner. 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 Peter Weiner. The network helps show where Peter Weiner may publish in the future.

Co-authorship network of co-authors of Peter Weiner

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Weiner. A scholar is included among the top collaborators of Peter Weiner 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 Peter Weiner. Peter Weiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2
Experimental evaluation of V150 grade buttress casing and its use in Arctic offshore drilling operations
1
3 17
4
A Laboratory Evaluation Of Sand Erosion Of Oil Gas Well Producing Equipment
1
5 0
6 1
7 8
8 30
9
Linear pattern matching algorithmsbreakdown →
870
10 2
11 28
12 47
13 2
14 1
15 5
16
On the reduction of non-deterministic automata
4
17
Some unsolvable problems and partial solutions
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18 1
19 11
20 53

About Peter Weiner

Peter Weiner is a scholar working on Computational Theory and Mathematics, Ocean Engineering and Hardware and Architecture, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include semigroups and automata theory (9 papers), Drilling and Well Engineering (7 papers) and Computability, Logic, AI Algorithms (6 papers). The work is most often cited by research in Hardware and Architecture (321 citations), Artificial Intelligence (888 citations) and Computational Theory and Mathematics (418 citations). Peter Weiner has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Daniel J. Kleitman, K. Steiglitz, Edward J. Smith, Tsunehiko Kameda, John E. Hopcroft, A. C. McKellar, A. Bagchi, Ronald E. Smith, Jeffrey D. Ullman and D. Tsichritzis. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Computers and Journal of Computer and System Sciences.

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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