Daniel Hirschkoff

537 citations
41 papers · 317 · h-index 11

Impact in

Papers in

Daniel Hirschkoff

37 papers receiving 286 citations

Peers

Daniel Hirschkoff
Comparison fields: 5 of 28
  • Computational Theory and Mathematics 206
  • Artificial Intelligence 274
  • Computer Networks and Communications 107
  • Software 15
  • Hardware and Architecture 22
Replace Panos Rondogiannis with:
Panos Rondogiannis Greece
Romain Demangeon France
Kurt Sieber Germany
Silvia Ghilezan Serbia
Wilmer Ricciotti Italy
Kevin Watkins United States
J. C. Bradfield United Kingdom
Jean-Marc Talbot France
Paula Severi United Kingdom
Witold Charatonik Poland
Daniel Hirschkoff relative to Panos Rondogiannis Greece Panos Rondogiannis's profile →
Citations per field
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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 10 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

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199749
2 200128
3 200221
4 200321
5 200318
6 200417
7 200415
8 200611
9 200511
10 200911
11 201011
12 200810
13 19989
14 20088
15 20108
16 20077
17 20086
18 20075
19 19995
20 20105

About Daniel Hirschkoff

Daniel Hirschkoff is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture and General Health Professions, having authored 41 papers that have together received 317 indexed citations. Recurring topics across this work include Logic, programming, and type systems (34 papers), Logic, Reasoning, and Knowledge (30 papers), Formal Methods in Verification (18 papers), Advanced Algebra and Logic (8 papers), Distributed systems and fault tolerance (7 papers), Security and Verification in Computing (5 papers), Advanced Database Systems and Queries (3 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (206 citations), Artificial Intelligence (274 citations), Computer Networks and Communications (107 citations), Software (15 citations) and Hardware and Architecture (22 citations). Daniel Hirschkoff has collaborated with scholars based in France, Italy and China. Frequent co-authors include Davide Sangiorgi, Romain Demangeon, Damien Pous, Étienne Lozes, Stefan Berghofer, Arnaud Carayol, Naoki Kobayashi, Alan Schmitt, Jean‐Bernard Stefani and Mario Coppo. Their work appears in journals such as Logical Methods in Computer Science, Theoretical Computer Science, Lecture notes in computer science, The Journal of Logic and Algebraic Programming and Mathematical Structures in Computer Science.

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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