Daniel Hirschkoff

493 citations
18 papers · 70 · h-index 5

Impact in

Papers in

Daniel Hirschkoff

17 papers receiving 59 citations

Peers

Daniel Hirschkoff
Comparison fields: 5 of 13
  • Computational Theory and Mathematics 47
  • Artificial Intelligence 60
  • Computer Networks and Communications 25
  • Software 4
  • Hardware and Architecture 5
Replace Romain Demangeon with:
Romain Demangeon France
Friedrich Slivovsky Austria
Kaustuv Chaudhuri France
Hans de Nivelle Germany
Samuel Mimram France
Étienne Lozes France
William W. McCune United States
Russell Harmer France
K. Narayan Kumar India
Vitaly Lagoon Australia
Daniel Hirschkoff relative to Romain Demangeon France Romain Demangeon's profile →
Citations per field
00.5×1.7×
Romain Demangeon · 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

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

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 18 papers that have together received 70 indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Logic, Reasoning, and Knowledge (13 papers), Formal Methods in Verification (7 papers), Advanced Algebra and Logic (4 papers), Distributed systems and fault tolerance (3 papers), Security and Verification in Computing (2 papers), Hermeneutics and Narrative Identity (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (47 citations), Artificial Intelligence (60 citations), Computer Networks and Communications (25 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, Arnaud Carayol, Romain Demangeon, Étienne Lozes and Damien Pous. Their work appears in journals such as Theoretical Computer Science, Logical Methods in Computer Science, The Journal of Logic and Algebraic Programming, Journal of Functional Programming and International Journal of Information Security.

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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