Shay Artzi

1.9k citations
26 papers · 1.2k · h-index 18

Impact in

  • Software top 0.5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Web Application Security Vulnerabilities

Papers in

    • Software Engineering Research 9
    • Web Application Security Vulnerabilities 9
    • Software Testing and Debugging Techniques 15
    • Software Reliability and Analysis Research 8

Shay Artzi

26 papers receiving 1.1k citations

Peers

Shay Artzi
Comparison fields: 5 of 78
  • Software 793
  • Information Systems 786
  • Signal Processing 233
  • Computer Networks and Communications 206
  • Artificial Intelligence 270
Replace Shigeru Chiba with:
Shigeru Chiba Japan
Ruizhi Gao United States
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María García de la Banda Australia
Yu Qu China
Ana B. Sánchez Spain
Mark Marron United States
Miltiadis Allamanis United Kingdom
Shay Artzi relative to Shigeru Chiba Japan Shigeru Chiba's profile →
Citations per field
00.5×4.2×
Shigeru Chiba · 1×
Citations per year

Countries citing papers authored by Shay Artzi

Since Specialization
Citations

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

Fields of papers citing papers by Shay Artzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011148
2 2008112
3 2010111
4 201098
5 200591
6 201284
7 201171
8 201065
9 201263
10 201256
11 201354
12 200745
13 201236
14
Finding the needles in the haystack: Generating legal test inputs for object-oriented programs
200632
15 201628
16 200722
17 201121
18 201619
19 201114
20 200812

About Shay Artzi

Shay Artzi is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (15 papers), Software Engineering Research (9 papers), Web Application Security Vulnerabilities (9 papers), Software Reliability and Analysis Research (8 papers), Ubiquitin and proteasome pathways (3 papers), Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Software (793 citations), Information Systems (786 citations), Signal Processing (233 citations), Computer Networks and Communications (206 citations) and Artificial Intelligence (270 citations). Shay Artzi has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Frank Tip, Julian Dolby, Michael D. Ernst, Adam Kieżun, Marco Pistoia, Danny Dig, Amit Paradkar, Simon Holm Jensen, Anders Møller and Jeff Perkins. Their work appears in journals such as IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Nature Communications, Nature Methods and Automated Software Engineering.

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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