Daniel Hirschkoff

537 citations
20 papers · 84 · h-index 6

Impact in

Papers in

Daniel Hirschkoff

19 papers receiving 72 citations

Peers

Daniel Hirschkoff
Comparison fields: 5 of 15
  • Computational Theory and Mathematics 56
  • Artificial Intelligence 71
  • Computer Networks and Communications 31
  • Software 4
  • Hardware and Architecture 5
Replace Jean-Marc Talbot with:
Jean-Marc Talbot France
Elio Giovannetti Italy
Étienne Lozes France
Hans de Nivelle Germany
William W. McCune United States
Kaustuv Chaudhuri France
Dimitris Mostrous Portugal
Romain Demangeon France
Eduardo Bonelli Argentina
Friedrich Slivovsky Austria
Daniel Hirschkoff relative to Jean-Marc Talbot France Jean-Marc Talbot's profile →
Citations per field
00.5×1.5×
Jean-Marc Talbot · 1×
Citations per year

Countries citing papers authored by Daniel Hirschkoff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hirschkoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Daniel Hirschkoff, 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 Hirschkoff Line = papers co-authored together Daniel Hirschkoff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200315
2 200414
3 20069
4 20086
5 20106
6 19986
7 20085
8 20074
9
Using Ambients to Control Resources
20013
10 20043
11 20042
12 20192
13 20012
14 20151
15 20191
16 20151
17 20161
18 20221
19 20091
20 20111

About Daniel Hirschkoff

Daniel Hirschkoff is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, General Health Professions and Information Systems, having authored 20 papers that have together received 84 indexed citations. Recurring topics across this work include Logic, programming, and type systems (16 papers), Logic, Reasoning, and Knowledge (15 papers), Formal Methods in Verification (7 papers), Advanced Algebra and Logic (5 papers), Distributed systems and fault tolerance (4 papers), Advanced Database Systems and Queries (2 papers), Security and Verification in Computing (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Computational Theory and Mathematics (56 citations), Artificial Intelligence (71 citations), Computer Networks and Communications (31 citations), Software (4 citations) and Hardware and Architecture (5 citations). Daniel Hirschkoff has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Davide Sangiorgi, Étienne Lozes, Arnaud Carayol, Damien Pous and Romain Demangeon. Their work appears in journals such as Logical Methods in Computer Science, Theoretical Computer Science, The Journal of Logic and Algebraic Programming, Information and Computation and Journal of Functional Programming.

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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