Michela Antonelli

11.7k total citations
55 papers, 1.1k citations indexed

About

Michela Antonelli is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michela Antonelli has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michela Antonelli's work include Fuzzy Logic and Control Systems (19 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Evolutionary Algorithms and Applications (13 papers). Michela Antonelli is often cited by papers focused on Fuzzy Logic and Control Systems (19 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Evolutionary Algorithms and Applications (13 papers). Michela Antonelli collaborates with scholars based in Italy, United Kingdom and United States. Michela Antonelli's co-authors include Francesco Marcelloni, Pietro Ducange, Beatrice Lazzerini, Sébastien Ourselin, Armando Segatori, Hani Hagras, Shonit Punwani, Pritesh Mehta, David Atkinson and Hashim U. Ahmed and has published in prestigious journals such as NeuroImage, BMJ and Expert Systems with Applications.

In The Last Decade

Michela Antonelli

51 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michela Antonelli Italy 21 596 211 137 134 110 55 1.1k
Pedro Henriques Abreu Portugal 20 895 1.5× 270 1.3× 70 0.5× 27 0.2× 138 1.3× 82 1.7k
Elena Casiraghi Italy 19 377 0.6× 330 1.6× 103 0.8× 45 0.3× 142 1.3× 73 2.0k
Olivier Colot France 12 358 0.6× 63 0.3× 69 0.5× 148 1.1× 68 0.6× 48 877
Andrea Campagner Italy 22 722 1.2× 455 2.2× 51 0.4× 184 1.4× 80 0.7× 67 1.6k
Xianghua Fu China 19 753 1.3× 79 0.4× 76 0.6× 83 0.6× 231 2.1× 67 1.3k
Frank Puppe Germany 20 617 1.0× 119 0.6× 112 0.8× 48 0.4× 262 2.4× 179 1.6k
R. Bharat Rao Germany 14 505 0.8× 74 0.4× 30 0.2× 72 0.5× 87 0.8× 36 882
Rahul Kumar Singh India 14 520 0.9× 687 3.3× 189 1.4× 18 0.1× 128 1.2× 56 1.4k
Cătălin Stoean Romania 19 602 1.0× 91 0.4× 28 0.2× 120 0.9× 92 0.8× 75 1.1k
Mauro Vallati United Kingdom 17 943 1.6× 106 0.5× 30 0.2× 73 0.5× 165 1.5× 132 1.7k

Countries citing papers authored by Michela Antonelli

Since Specialization
Citations

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

Fields of papers citing papers by Michela Antonelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Antonelli

This figure shows the co-authorship network connecting the top 25 collaborators of Michela Antonelli. A scholar is included among the top collaborators of Michela Antonelli 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 Michela Antonelli. Michela Antonelli 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.
Rees, Jessica, Wei Liu, Sébastien Ourselin, et al.. (2025). Understanding the Thoughts and Preferences for Technologies Designed to Detect Feelings of Loneliness: Interview Study Among Older Adults. JMIR Human Factors. 12. e73694–e73694.
2.
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Cheetham, Nathan J., Ruth C. E. Bowyer, JD Carpentieri, et al.. (2025). Social determinants of recovery from ongoing symptoms following COVID-19 in two UK longitudinal studies: a prospective cohort study. BMJ Public Health. 3(1). e001166–e001166. 4 indexed citations
4.
Molteni, Erika, Jessica Rees, Faith Matcham, et al.. (2024). A scoping review on human-centered design approaches and considerations in the design of technologies for loneliness and social isolation in older adults. Design Science. 10. 4 indexed citations
5.
Rees, Jessica, Erika Molteni, Faith Matcham, et al.. (2024). Evaluating a Smart Textile Loneliness Monitoring System for Older People: Co-Design and Qualitative Focus Group Study. JMIR Aging. 7. e57622–e57622. 2 indexed citations
6.
Sudre, Carole H., Michela Antonelli, Nathan J. Cheetham, et al.. (2024). Symptoms before and after COVID-19: a population and case–control study using prospective data. European Respiratory Journal. 64(1). 2301853–2301853. 1 indexed citations
7.
Antonelli, Michela, Rose Penfold, Liane S. Canas, et al.. (2023). SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study. Journal of Infection. 87(6). 506–515. 20 indexed citations
8.
Rees, Jessica, Faith Matcham, Sébastien Ourselin, et al.. (2023). Wearables, sensors and the future of technology to detect and infer loneliness in older adults. Gerontechnology. 22(2). 1–4. 5 indexed citations
9.
Rees, Jessica, Sébastien Ourselin, Yu Shi, et al.. (2023). Understanding the psychological experiences of loneliness in later life: qualitative protocol to inform technology development. BMJ Open. 13(6). e072420–e072420. 8 indexed citations
10.
11.
Mehta, Pritesh, Michela Antonelli, Hashim U. Ahmed, et al.. (2021). Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical Image Analysis. 73. 102153–102153. 29 indexed citations
12.
Canas, Liane S., Marc F. Österdahl, Jie Deng, et al.. (2021). Disentangling post-vaccination symptoms from early COVID-19. EClinicalMedicine. 42. 101212–101212. 10 indexed citations
13.
Canas, Liane S., Carole H. Sudre, Joan Capdevila Pujol, et al.. (2021). Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study. The Lancet Digital Health. 3(9). e587–e598. 53 indexed citations
14.
Antonelli, Michela, Edward W. Johnston, Νικόλαος Δικαίος, et al.. (2019). Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists. European Radiology. 29(9). 4754–4764. 61 indexed citations
15.
Antonelli, Michela, M. Jorge Cardoso, Edward W. Johnston, et al.. (2018). GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Analysis. 52. 97–108. 16 indexed citations
16.
Latifoltojar, Arash, Margaret Hall‐Craggs, Alan Bainbridge, et al.. (2017). Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction. European Radiology. 27(12). 5325–5336. 59 indexed citations
17.
Antonelli, Michela, Pietro Ducange, Beatrice Lazzerini, & Francesco Marcelloni. (2015). Multi-objective evolutionary design of granular rule-based classifiers. Granular Computing. 1(1). 37–58. 85 indexed citations
18.
Antonelli, Michela, Pietro Ducange, Francesco Marcelloni, & Armando Segatori. (2015). On the influence of feature selection in fuzzy rule-based regression model generation. Information Sciences. 329. 649–669. 32 indexed citations
19.
Anastasi, Giuseppe, Michela Antonelli, Alessio Bechini, et al.. (2013). Urban and social sensing for sustainable mobility in smart cities. CINECA IRIS Institutial research information system (University of Pisa). 1–4. 53 indexed citations
20.
Antonelli, Michela, Pietro Ducange, Beatrice Lazzerini, & Francesco Marcelloni. (2009). Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. CINECA IRIS Institutial research information system (University of Pisa). 1033–1038. 4 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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