Mario Dal Cin

740 citations
68 papers · 533 · h-index 12

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Parallel Computing and Optimization Techniques
    • Real-Time Systems Scheduling

Papers in

Mario Dal Cin

60 papers receiving 483 citations

Peers

Mario Dal Cin
Comparison fields: 5 of 75
  • Software 126
  • Hardware and Architecture 126
  • Computer Networks and Communications 209
  • Computational Theory and Mathematics 114
  • Artificial Intelligence 151
Replace J. I. Zucker with:
J. I. Zucker Canada
Gilles Dowek France
Josef Weidendorfer Germany
William Kramer United States
悦朗 守屋 United States
P. J. Plauger United States
Peter van Rossum Netherlands
Roland Backhouse United Kingdom
Benjamin Horowitz United States
Artur Korniłowicz Poland
Mario Dal Cin relative to J. I. Zucker Canada J. I. Zucker's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mario Dal Cin

Since Specialization
Citations

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

Fields of papers citing papers by Mario Dal Cin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Dal Cin. 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 Mario Dal Cin. The network helps show where Mario Dal Cin may publish in the future.

Co-authors

The 25 scholars most cited alongside Mario Dal Cin, 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 Mario Dal Cin Line = papers co-authored together Mario Dal Cin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197498
2
Dependability analysis in the early phases of UML-based system design
200185
3 200730
4 199126
5 198024
6 199422
7 197914
8 200413
9 198113
10 199312
11 200411
12 197011
13 199410
14
Fault Tolerance in Massively Parallel Systems
199410
15 200210
16 20069
17 19758
18 19988
19 19938
20 20038

About Mario Dal Cin

Mario Dal Cin is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics, Software and Artificial Intelligence, having authored 68 papers that have together received 533 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (18 papers), Parallel Computing and Optimization Techniques (13 papers), Interconnection Networks and Systems (12 papers), Software Reliability and Analysis Research (12 papers), Formal Methods in Verification (11 papers), Real-Time Systems Scheduling (7 papers), Radiation Effects in Electronics (7 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Software (126 citations), Hardware and Architecture (126 citations), Computer Networks and Communications (209 citations), Computational Theory and Mathematics (114 citations) and Artificial Intelligence (151 citations). Mario Dal Cin has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Michael Conrad, W. Güttinger, András Pataricza, Andrea Bondavalli, István Majzik, Volkmar Sieh, Diego Latella, Hermann de Meer, Kishor S. Trivedi and H.A. Kastrup. Their work appears in journals such as Nuclear Physics B, IEEE Transactions on Reliability, Mathematical Biosciences, ACM Transactions on Modeling and Computer Simulation and Theoretical 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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