Daniel Citron

877 citations
28 papers · 444 · h-index 12

Impact in

Papers in

Daniel Citron

27 papers receiving 419 citations

Peers

Daniel Citron
Comparison fields: 5 of 83
  • Hardware and Architecture 179
  • Modeling and Simulation 33
  • Health Informatics 9
  • Computer Networks and Communications 148
  • Software 15
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Citron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Citron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200764
2 200250
3 201443
4 201939
5 199838
6 199831
7 200324
8 202123
9 200621
10 200318
11 201016
12 200413
13 202110
14 202310
15 20239
16 20116
17
Assessing the Applicability of a Combinatorial Testing tool within an Industrial Environment.
20144
18
Test Prioritization based on Change Sensitivity: an Industrial Case Study
20144
19 20054
20 20233

About Daniel Citron

Daniel Citron is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Public Health, Environmental and Occupational Health and Information Systems, having authored 28 papers that have together received 444 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Software System Performance and Reliability (5 papers), Software Testing and Debugging Techniques (3 papers), HIV/AIDS Impact and Responses (3 papers), Distributed and Parallel Computing Systems (3 papers), Advanced Software Engineering Methodologies (3 papers), Advanced Data Storage Technologies (3 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Hardware and Architecture (179 citations), Modeling and Simulation (33 citations), Health Informatics (9 citations), Computer Networks and Communications (148 citations) and Software (15 citations). Daniel Citron has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Larry Rudolph, Dror G. Feitelson, Paul Ginsparg, Sidney R. Nagel, Heinrich M. Jaeger, Xiang Cheng, Germán Varas, David L. Smith, Carlos A. Guerra and Yanbin Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMJ Global Health, Nature Communications, IBM Journal of Research and Development and IEEE Micro.

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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