Michele Tufano
- Software top 0.2%
- Software Reliability and Analysis Research 14
- Software Testing and Debugging Techniques 8
- Information Systems top 0.2%
- Software Engineering Research 23
- Signal Processing top 1%
- Advanced Malware Detection Techniques 9
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- Open Source Software Innovations 2
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- Topic Modeling 4
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- Mitochondrial Function and Pathology 2
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- Neurological disorders and treatments 2
- Co-authors
- Denys PoshyvanykGabriele BavotaMartin WhiteMassimiliano Di PentaChristopher VendomeAndrea De LuciaRocco OlivetoFabio Palomba
- Journals
- Nature Communications (1 paper)International Journal of Molecular Sciences (1 paper)Molecules (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Michele Tufano
30 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Software 1.3k
- Information Systems 1.7k
- Signal Processing 528
- Computer Networks and Communications 449
- Computer Science Applications 95
Countries citing papers authored by Michele Tufano
This map shows the geographic impact of Michele Tufano'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 Michele Tufano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Tufano more than expected).
Fields of papers citing papers by Michele Tufano
This network shows the impact of papers produced by Michele Tufano. 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 Michele Tufano. The network helps show where Michele Tufano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michele Tufano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 37 | |
| 12 | 2019 | 130 | |
| 13 | 2018 | 86 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 105 | |
| 16 | 2017 | 162 | |
| 17 | 2016 | 75 | |
| 18 | 2015 | 31 | |
| 19 | 2015 | 34 | |
| 20 | 2015 | 151 |
About Michele Tufano
Michele Tufano is a scholar working on Software, Information Systems and Signal Processing, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Software Engineering Research (23 papers), Software Reliability and Analysis Research (14 papers), Advanced Malware Detection Techniques (9 papers), Software Testing and Debugging Techniques (8 papers), Topic Modeling (4 papers), Mitochondrial Function and Pathology (2 papers), Open Source Software Innovations (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Software (1.3k citations), Information Systems (1.7k citations) and Signal Processing (528 citations). Michele Tufano has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Denys Poshyvanyk, Gabriele Bavota, Martin White, Massimiliano Di Penta, Christopher Vendome, Andrea De Lucia, Rocco Oliveto, Fabio Palomba, Cody Watson and Martin Monperrus. Their work appears in journals such as Nature Communications, International Journal of Molecular Sciences and Molecules.
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.