Daniela Micucci

2.0k citations
66 papers · 1.1k indexed · 2 hit papers · h-index 10

Impact in

Papers in

Daniela Micucci

53 papers receiving 1.1k citations

Hit Papers

Automatic Software Repair: A Survey 2017 · 214 citations
2142017202620202023100200300

Peers

Daniela Micucci
Comparison fields: 5 of 77
  • Software 283
  • Computer Vision and Pattern Recognition 584
  • Computer Networks and Communications 307
  • Signal Processing 119
  • Information Systems 248
Replace Gerald Holl with:
Gerald Holl Austria
Pedro C. Diniz United States
Edward T.-H. Chu Taiwan
Eduardo Souto Brazil
Panu Korpipää Finland
Yufei Chen China
Sean Banerjee United States
Per Lindgren Sweden
Ben Greenstein United States
Daniela Micucci relative to Gerald Holl Austria Gerald Holl's profile →
Citations per field
00.5×9.1×
Gerald Holl · 1×
Citations per year

Countries citing papers authored by Daniela Micucci

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Micucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones
Hit paper breakdown →
2017346
2
Automatic Software Repair: A Survey
Hit paper breakdown →
2017214
3 2018100
4 202098
5 202165
6 202247
7 201538
8 201931
9 202114
10 201713
11 20129
12 20198
13 20187
14 20226
15 20186
16 20115
17 20125
18 20244
19 20094
20 20104

About Daniela Micucci

Daniela Micucci is a scholar working on Software, Health Informatics, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (17 papers), Software Testing and Debugging Techniques (11 papers), Software Reliability and Analysis Research (8 papers), Software System Performance and Reliability (8 papers), Advanced Software Engineering Methodologies (6 papers), Software Engineering Research (6 papers), Real-Time Systems Scheduling (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Software (283 citations), Computer Vision and Pattern Recognition (584 citations), Computer Networks and Communications (307 citations), Signal Processing (119 citations) and Information Systems (248 citations). Daniela Micucci has collaborated with scholars based in Italy, Portugal and Switzerland. Frequent co-authors include Paolo Napoletano, Marco Mobilio, Leonardo Mariani, Luca Gazzola, Anna Ferrari, Francesco Tisato, Fabrizio Pastore, Oliviero Riganelli, Fabio Madeddu and Carla Simone. Their work appears in journals such as Journal of Reliable Intelligent Environments, Applied Sciences, IEEE Access, Software Practice and Experience 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.

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