Dan R. Ghica

1.3k citations
51 papers · 402 indexed · h-index 13

Dan R. Ghica

47 papers receiving 370 citations

Peers

Dan R. Ghica
Comparison fields: 5 of 34
  • Hardware and Architecture 128
  • Computational Theory and Mathematics 219
  • Artificial Intelligence 326
  • Software 23
  • Computer Networks and Communications 58
Replace Mark D. Aagaard with:
Mark D. Aagaard Canada
Judicaël Courant France
Wouter Swierstra Netherlands
Richard A. Eisenberg United States
John Greiner United States
Eduardo Giménez
Joakim Wright Finland
Dominic Orchard United Kingdom
Sergio Antoy United States
C. Barry Jay Australia
Dan R. Ghica relative to Mark D. Aagaard Canada Mark D. Aagaard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan R. Ghica

Since Specialization
Citations

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

Fields of papers citing papers by Dan R. Ghica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan R. Ghica. 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 Dan R. Ghica. The network helps show where Dan R. Ghica may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Dan R. Ghica, 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 Dan R. Ghica Line = papers co-authored together Dan R. Ghica links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20192
3 20195
4 20177
5 20178
6 20164
7 20166
8 20156
9 20142
10 20141
11
The geometry of synthesis how to make hardware out of software
20120
12 20124
13
Compiling Afï¬ne Recursion into Static Hardware
20111
14 20119
15 20092
16 200916
17 200723
18 200513
19 200431
20 200329

About Dan R. Ghica

Dan R. Ghica is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Artificial Intelligence, having authored 51 papers that have together received 402 indexed citations. Recurring topics across this work include Logic, programming, and type systems (37 papers), Formal Methods in Verification (23 papers), Parallel Computing and Optimization Techniques (22 papers), Embedded Systems Design Techniques (14 papers), Logic, Reasoning, and Knowledge (13 papers), Software Engineering Research (6 papers), Interconnection Networks and Systems (4 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Hardware and Architecture (128 citations), Computational Theory and Mathematics (219 citations) and Artificial Intelligence (326 citations). Dan R. Ghica has collaborated with scholars based in United Kingdom, Canada and Japan. Frequent co-authors include Andrzej S. Murawski, Guy McCusker, C.-H. Luke Ong, Nikos Tzevelekos, Samson Abramsky, Ian Stark, R. D. Tennent, Achim Jung, Satnam Singh and George A. Constantinides. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and ACM SIGPLAN Notices.

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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