Héctor Freytes

557 citations
50 papers · 312 · h-index 10

Impact in

Papers in

Héctor Freytes

44 papers receiving 298 citations

Peers

Héctor Freytes
Comparison fields: 5 of 45
  • Computational Theory and Mathematics 163
  • Algebra and Number Theory 42
  • Artificial Intelligence 176
  • Management Science and Operations Research 56
  • Atomic and Molecular Physics, and Optics 123
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S. Bugajski Poland
Samuel S. Holland United States
Stephen H. Schanuel United States
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Roberto Leporini Italy
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A. R. D. Mathias United States
James P. Jones Canada
Grzegorz Malinowski Poland
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Citations per year

Countries citing papers authored by Héctor Freytes

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Freytes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Héctor Freytes, 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 Héctor Freytes Line = papers co-authored together Héctor Freytes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 200726
3 202221
4
On some properties of quasi-MV algebras and $sqrt{prime}$-MV algebras
200916
5
7 Contextual logic for quantum systems
200514
6 201314
7
"On some properties of quasi-Mv algebras and √′ quasi-Mv algebras"
200813
8 200411
9 201710
10
On some properties of quasi MV algebras and square root quasi MV algebras. Part III.
20099
11 20139
12 20199
13 20099
14 20098
15 20117
16 20147
17 20177
18 20217
19
Quantum Logic in Historical and Philosophical Perspective
20147
20 20196

About Héctor Freytes

Héctor Freytes is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Management Science and Operations Research and Algebra and Number Theory, having authored 50 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Algebra and Logic (32 papers), Quantum Mechanics and Applications (21 papers), Quantum Information and Cryptography (15 papers), Quantum Computing Algorithms and Architecture (14 papers), Logic, Reasoning, and Knowledge (10 papers), Rough Sets and Fuzzy Logic (9 papers), Fuzzy and Soft Set Theory (7 papers) and Rings, Modules, and Algebras (5 papers). The work is most often cited by research in Computational Theory and Mathematics (163 citations), Algebra and Number Theory (42 citations), Artificial Intelligence (176 citations), Management Science and Operations Research (56 citations) and Atomic and Molecular Physics, and Optics (123 citations). Héctor Freytes has collaborated with scholars based in Italy, Argentina and Belgium. Frequent co-authors include Giuseppe Sergioli, Roberto Giuntini, Antonio Ledda, Graciela Domenech, Francesco Paoli, Federico Holik, Félix Bou, Daniel K. Park, Carsten Blank and A. Plastino. Their work appears in journals such as Soft Computing, Scientific Reports, Fuzzy Sets and Systems, New Journal of Physics and Physical review. A.

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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