Ernest G. Manes

2.1k total citations
40 papers, 1.0k citations indexed

About

Ernest G. Manes is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Ernest G. Manes has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 20 papers in Artificial Intelligence and 7 papers in Mathematical Physics. Recurrent topics in Ernest G. Manes's work include Advanced Algebra and Logic (13 papers), Logic, programming, and type systems (12 papers) and Computability, Logic, AI Algorithms (10 papers). Ernest G. Manes is often cited by papers focused on Advanced Algebra and Logic (13 papers), Logic, programming, and type systems (12 papers) and Computability, Logic, AI Algorithms (10 papers). Ernest G. Manes collaborates with scholars based in United States, Canada and Australia. Ernest G. Manes's co-authors include Michael A. Arbib, Martha Steenstrup, David Benson, F. E. J. Linton, Brian D. O. Anderson, Stephen L. Bloom, Zoltán Ésik, James S. Johnson and Anna Labella and has published in prestigious journals such as Automatica, Journal of the ACM and Journal of the Franklin Institute.

In The Last Decade

Ernest G. Manes

36 papers receiving 865 citations

Peers

Ernest G. Manes
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 652
  • Artificial Intelligence 560
  • Mathematical Physics 183
  • Management Science and Operations Research 147
  • Geometry and Topology 144
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Citations per field, relative to Ernest G. Manes
Ernest G. Manes · 1×
Citations per year, relative to Ernest G. Manes
Ernest G. Manes · 1×

Countries citing papers authored by Ernest G. Manes

Since Specialization
Citations

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

Fields of papers citing papers by Ernest G. Manes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ernest G. Manes. 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 Ernest G. Manes. The network helps show where Ernest G. Manes may publish in the future.

Co-authorship network of co-authors of Ernest G. Manes

This figure shows the co-authorship network connecting the top 25 collaborators of Ernest G. Manes. A scholar is included among the top collaborators of Ernest G. Manes 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 Ernest G. Manes. Ernest G. Manes 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
# Work Indexed citations
1 21
2 14
3 2
4 51
5 16
6 25
7 9
8 13
9 7
10 41
11
Partially-additive semantics: A progress report.
2
12 5
13
Tree transformations and the semantics of loop-free programs.
1
14 10
15 34
16 49
17 0
18 40
19 3
20 10

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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