Daniel F. Carson

649 citations
4 papers · 304 · h-index 3

Impact in

    • Formal Methods in Verification
    • Computability, Logic, AI Algorithms
    • semigroups and automata theory
    • Advanced Algebra and Logic
    • Logic, programming, and type systems
    • Logic, Reasoning, and Knowledge
    • AI-based Problem Solving and Planning
    • Semantic Web and Ontologies

Papers in

Daniel F. Carson

4 papers receiving 243 citations

Peers

Daniel F. Carson
Comparison fields: 5 of 27
  • Computational Theory and Mathematics 192
  • Artificial Intelligence 287
  • Software 14
  • Hardware and Architecture 10
  • Computer Networks and Communications 28
Replace Horst Reichel with:
Horst Reichel Germany
G. Huet France
Irène Guessarian France
Alessandro Giacalone United States
Franklin L. DeRemer United States
Reinhold Letz Germany
Michael Kharitonov United States
Eyal Yardeni Israel
Mario Rodríguez-Artalejo Spain
P. H. B. Gardiner United Kingdom
Daniel F. Carson relative to Horst Reichel Germany Horst Reichel's profile →
Citations per field
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Horst Reichel · 1×
Citations per year

Countries citing papers authored by Daniel F. Carson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Carson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Carson. 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 Daniel F. Carson. The network helps show where Daniel F. Carson may publish in the future.

Co-authors

The 2 scholars most cited alongside Daniel F. Carson, 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 Daniel F. Carson Line = papers co-authored together Daniel F. Carson links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Daniel F. Carson

Daniel F. Carson is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Aerospace Engineering, Materials Chemistry and Infectious Diseases, having authored 4 papers that have together received 304 indexed citations. Recurring topics across this work include Logic, programming, and type systems (3 papers), Formal Methods in Verification (2 papers), Logic, Reasoning, and Knowledge (2 papers), Nuclear Materials and Properties (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Fusion materials and technologies (1 paper), Nuclear reactor physics and engineering (1 paper) and semigroups and automata theory (1 paper). The work is most often cited by research in Computational Theory and Mathematics (192 citations), Artificial Intelligence (287 citations), Software (14 citations), Hardware and Architecture (10 citations) and Computer Networks and Communications (28 citations). Daniel F. Carson has collaborated with scholars based in United States. Frequent co-authors include L. Wos and George Robinson. Their work appears in journals such as Journal of the ACM and Nuclear Science and Engineering.

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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