Marco Zanoni

2.5k citations
54 papers · 1.7k · 1 hit paper · h-index 21

Impact in

  • Software top 0.2%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

    • Software Engineering Research 44
    • Software Engineering Techniques and Practices 3
    • Software Reliability and Analysis Research 22
    • Software Testing and Debugging Techniques 4

Marco Zanoni

52 papers receiving 1.6k citations

Marco Zanoni's Hit Papers

Comparing and experimenting machine learning techniques for code smell detection 2015 · 282 citations
2820+3+7Years since publication50100150200250

Peers

Marco Zanoni
Comparison fields: 5 of 68
  • Software 1.1k
  • Information Systems 1.6k
  • Signal Processing 401
  • Computer Science Applications 151
  • Computer Networks and Communications 480
Replace Naouel Moha with:
Naouel Moha Canada
Shinji Kusumoto Japan
Sunghun Kim United States
Fiorella Zampetti Italy
Domenico Amalfitano Italy
Chunrong Fang China
Jaechang Nam South Korea
Marco D’Ambros Switzerland
Fabrizio Pastore Luxembourg
Ke Mao United Kingdom
Marco Zanoni relative to Naouel Moha Canada Naouel Moha's profile →
Citations per field
00.5×1.5×2.1×
Naouel Moha · 1×
Citations per year

Countries citing papers authored by Marco Zanoni

Since Specialization
Citations

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

Fields of papers citing papers by Marco Zanoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Marco Zanoni, 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 Marco Zanoni Line = papers co-authored together Marco Zanoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparing and experimenting machine learning techniques for code smell detection
Hit paper breakdown →
2015282
2 2012144
3 2017118
4 2013108
5 201781
6 201779
7 201573
8 201570
9 201660
10 201056
11 201655
12 201750
13 201545
14 201639
15 201534
16 201632
17 201831
18 201530
19 201223
20 201523

About Marco Zanoni

Marco Zanoni is a scholar working on Information Systems, Software, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Software Engineering Research (44 papers), Software Reliability and Analysis Research (22 papers), Software System Performance and Reliability (20 papers), Advanced Software Engineering Methodologies (11 papers), Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (4 papers), Software Engineering Techniques and Practices (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Software (1.1k citations), Information Systems (1.6k citations), Signal Processing (401 citations), Computer Science Applications (151 citations) and Computer Networks and Communications (480 citations). Marco Zanoni has collaborated with scholars based in Italy, Switzerland and Poland. Frequent co-authors include Francesca Arcelli Fontana, Mika Mäntylä, Alessandro Marino, Riccardo Roveda, Pietro Braione, Vincenzo Ferme, Ilaria Pigazzini, Aiko Yamashita, Bartosz Walter and Andrea De Lucia. Their work appears in journals such as Information Sciences, Knowledge-Based Systems, IEEE Access, Empirical Software Engineering and IEEE Transactions on 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.

Explore authors with similar magnitude of impact