Daniela Micucci

2.0k total citations · 2 hit papers
66 papers, 1.1k citations indexed

About

Daniela Micucci is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Daniela Micucci has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 20 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Daniela Micucci's work include Context-Aware Activity Recognition Systems (17 papers), Software Testing and Debugging Techniques (11 papers) and Software Reliability and Analysis Research (8 papers). Daniela Micucci is often cited by papers focused on Context-Aware Activity Recognition Systems (17 papers), Software Testing and Debugging Techniques (11 papers) and Software Reliability and Analysis Research (8 papers). Daniela Micucci collaborates with scholars based in Italy, Luxembourg and Portugal. Daniela Micucci's co-authors include Paolo Napoletano, Marco Mobilio, Leonardo Mariani, Luca Gazzola, Anna Ferrari, Francesco Tisato, Fabrizio Pastore, Oliviero Riganelli, Fabio Marchese and Raffaella Calati and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Daniela Micucci

53 papers receiving 1.1k citations

Hit Papers

UniMiB SHAR: A Dataset for Human Activity Recognition Usi... 2017 2026 2020 2023 2017 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Micucci Italy 10 584 307 283 268 248 66 1.1k
Gerald Holl Austria 8 451 0.8× 190 0.6× 31 0.1× 311 1.2× 127 0.5× 12 687
Pedro C. Diniz United States 19 364 0.6× 798 2.6× 71 0.3× 338 1.3× 210 0.8× 97 1.7k
Eduardo Souto Brazil 18 414 0.7× 522 1.7× 13 0.0× 198 0.7× 120 0.5× 76 1.0k
Edward T.-H. Chu Taiwan 13 142 0.2× 221 0.7× 44 0.2× 61 0.2× 77 0.3× 60 548
Yufei Chen China 14 360 0.6× 231 0.8× 10 0.0× 249 0.9× 205 0.8× 59 908
Panu Korpipää Finland 11 767 1.3× 291 0.9× 10 0.0× 172 0.6× 131 0.5× 18 1.2k
Per Lindgren Sweden 12 462 0.8× 287 0.9× 32 0.1× 99 0.4× 44 0.2× 78 901
Rajeev Gandhi United States 15 127 0.2× 839 2.7× 78 0.3× 213 0.8× 566 2.3× 56 1.1k
René Mayrhofer Austria 18 374 0.6× 381 1.2× 7 0.0× 198 0.7× 603 2.4× 93 1.2k

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-authorship network of co-authors of Daniela Micucci

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Micucci. A scholar is included among the top collaborators of Daniela Micucci 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 Daniela Micucci. Daniela Micucci 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
1.
Clerissi, Diego, et al.. (2025). Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset. BOA (University of Milano-Bicocca). 73–82.
2.
Micucci, Daniela, et al.. (2025). Leveraging dataset integration and continual learning for human activity recognition. International Journal of Machine Learning and Cybernetics. 16(7-8). 5213–5234.
3.
Mobilio, Marco, Oliviero Riganelli, Daniela Micucci, & Leonardo Mariani. (2024). FILO: Automated FIx-LOcus Identification for Android Framework Compatibility Issues. Information. 15(8). 423–423.
4.
Micucci, Daniela, et al.. (2024). Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding. IEEE Journal of Biomedical and Health Informatics. PP. 1–12. 1 indexed citations
5.
Salle, Amleto Di, et al.. (2024). Waste Management Through Digital Twins and Business Process Modeling. BOA (University of Milano-Bicocca). 513–517. 1 indexed citations
6.
Micucci, Daniela, et al.. (2024). The future of human and animal digital health platforms. Journal of Reliable Intelligent Environments. 10(3). 245–256. 4 indexed citations
7.
Realdon, Olivia, Roberta Adorni, Daniela Micucci, et al.. (2023). Embedding the Patient-Citizen Perspective into an Operational Framework for the Development and the Introduction of New Technologies in Rehabilitation Care: The Smart&Touch-ID Model. Healthcare. 11(11). 1604–1604. 1 indexed citations
8.
Madeddu, Fabio, et al.. (2022). Interventi Internet- e Mobile-based rivolti al rischio suicidario: una revisione della letteratura. Recenti Progressi in Medicina. 113(4). 256–262. 1 indexed citations
9.
Ferrari, Anna, Daniela Micucci, Marco Mobilio, & Paolo Napoletano. (2022). Deep learning and model personalization in sensor-based human activity recognition. Journal of Reliable Intelligent Environments. 9(1). 27–39. 47 indexed citations
10.
Madeddu, Fabio, Jorge López‐Castromán, Daniele Romano, et al.. (2022). An Internet-Based Multi-Approach Intervention Targeting University Students Suffering from Psychological Problems: Design, Implementation, and Evaluation. International Journal of Environmental Research and Public Health. 19(5). 2711–2711. 6 indexed citations
11.
Ferrari, Anna, Daniela Micucci, Marco Mobilio, & Paolo Napoletano. (2021). Trends in human activity recognition using smartphones. Journal of Reliable Intelligent Environments. 7(3). 189–213. 65 indexed citations
12.
Ferrari, Anna, Daniela Micucci, Marco Mobilio, & Paolo Napoletano. (2020). On the Personalization of Classification Models for Human Activity Recognition. IEEE Access. 8. 32066–32079. 98 indexed citations
13.
Micucci, Daniela, et al.. (2020). The House of Carbs: Personalized Carbohydrate Dispenser for People with Diabetes. Studies in health technology and informatics. 270. 693–697.
14.
Riganelli, Oliviero, Marco Mobilio, Daniela Micucci, & Leonardo Mariani. (2019). A benchmark of data loss bugs for android apps. BOA (University of Milano-Bicocca). 1 indexed citations
15.
Micucci, Daniela, et al.. (2018). UniMiB AAL: An Android Sensor Data Acquisition and Labeling Suite. Applied Sciences. 8(8). 1265–1265. 2 indexed citations
16.
Micucci, Daniela, et al.. (2014). A Spaces-Based Platform Enabling Responsive Environments. BOA (University of Milano-Bicocca). 7. 179–193. 1 indexed citations
17.
Micucci, Daniela, et al.. (2010). Space integration services. BOA (University of Milano-Bicocca). 489–493. 4 indexed citations
18.
Micucci, Daniela, et al.. (2009). Engineering spatial concepts. The Knowledge Engineering Review. 24(1). 77–93. 4 indexed citations
19.
Micucci, Daniela, et al.. (2008). RA 3 : enabling adaptivity via a reflective architecture. BOA (University of Milano-Bicocca). 214–219. 1 indexed citations
20.
Manzoni, Stefano, et al.. (2003). Knowledge-based support to indoor air quality control. BOA (University of Milano-Bicocca). 5. 1 indexed citations

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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