Michele Tufano

4.2k citations
32 papers · 2.1k indexed · 4 hit papers · h-index 18
Topics
Software Engineering Research (23 papers)Software Reliability and Analysis Research (14 papers)Advanced Malware Detection Techniques (9 papers)

In The Last Decade

Michele Tufano

30 papers receiving 2.0k citations

Hit Papers

Deep learning code fragments for code clone detection20162026201920222016202120192023100200300

Peers

Michele Tufano
Comparison fields: 5 of 97
  • Information Systems 1.7k
  • Software 1.3k
  • Signal Processing 528
  • Artificial Intelligence 462
  • Computer Networks and Communications 449
Replace Collin McMillan with:
Collin McMillan United States
Haipeng Cai United States
Kai Qian United States
Justyna Petke United Kingdom
Ripon K. Saha United States
Márcio Eduardo Delamaro Brazil
Nicolas Gold United Kingdom
Mukul R. Prasad United States
Hongxu Chen China
Fabiano Cutigi Ferrari Brazil
Michele Tufano relative to Collin McMillan United States Collin McMillan's profile →
Citations per field
00.5×1.5×2.2×
Collin McMillan · 1×
Citations per year

Countries citing papers authored by Michele Tufano

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michele Tufano

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Tufano. A scholar is included among the top collaborators of Michele Tufano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michele Tufano. Michele Tufano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 17
5 1
6 8
7 25
8 31
9 43
10 7
11 37
12 130
13 86
14 9
15 105
16 162
17 75
18 31
19 34
20 151

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) and Advanced Malware Detection Techniques (9 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.

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