Davide Morelli

949 total citations
37 papers, 532 citations indexed

About

Davide Morelli is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Davide Morelli has authored 37 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Experimental and Cognitive Psychology and 7 papers in Artificial Intelligence. Recurrent topics in Davide Morelli's work include Heart Rate Variability and Autonomic Control (10 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Green IT and Sustainability (4 papers). Davide Morelli is often cited by papers focused on Heart Rate Variability and Autonomic Control (10 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Green IT and Sustainability (4 papers). Davide Morelli collaborates with scholars based in United Kingdom, Italy and Norway. Davide Morelli's co-authors include David Plans, David A. Clifton, Sonia Ponzo, Alessio Rossi, Geoffrey Bird, Jamie M. Kawadler, Mark Cropley, Michele Colombo, Adam Cunningham and Stefan Sütterlin and has published in prestigious journals such as Scientific Reports, Sensors and Frontiers in Psychology.

In The Last Decade

Davide Morelli

34 papers receiving 520 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Davide Morelli 179 138 93 85 79 37 532
Siniša Popović 174 1.0× 99 0.7× 128 1.4× 23 0.3× 46 0.6× 41 644
Eleni Kazantzaki 207 1.2× 63 0.5× 86 0.9× 22 0.3× 49 0.6× 18 502
Petter Jakobsen 239 1.3× 41 0.3× 117 1.3× 87 1.0× 29 0.4× 19 471
Natàlia Balagué 108 0.6× 181 1.3× 121 1.3× 24 0.3× 109 1.4× 80 1.0k
Antonio R. Hidalgo-Muñoz 139 0.8× 88 0.6× 191 2.1× 26 0.3× 36 0.5× 47 488
Asma Ghandeharioun 211 1.2× 177 1.3× 92 1.0× 12 0.1× 47 0.6× 20 854
Krešimir Ćosić 185 1.0× 61 0.4× 105 1.1× 23 0.3× 27 0.3× 47 639
Niclas Palmius 251 1.4× 33 0.2× 89 1.0× 129 1.5× 45 0.6× 15 468
Dvijesh Shastri 163 0.9× 78 0.6× 126 1.4× 23 0.3× 88 1.1× 26 521
Karen Hovsepian 255 1.4× 135 1.0× 64 0.7× 14 0.2× 101 1.3× 12 587

Countries citing papers authored by Davide Morelli

Since Specialization
Citations

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

Fields of papers citing papers by Davide Morelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Morelli

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Morelli. A scholar is included among the top collaborators of Davide Morelli 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 Davide Morelli. Davide Morelli 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.
Moore, Alexander & Davide Morelli. (2024). conDENSE: Conditional Density Estimation for Time Series Anomaly Detection. Journal of Artificial Intelligence Research. 79. 801–824.
2.
Todd, Jennifer, David Plans, Michael Lee, et al.. (2024). Heightened interoception in adults with fibromyalgia. Biological Psychology. 186. 108761–108761. 9 indexed citations
3.
Morelli, Davide, et al.. (2023). Combining machine learning with Cox models to identify predictors for incident post-menopausal breast cancer in the UK Biobank. Scientific Reports. 13(1). 9221–9221. 10 indexed citations
4.
Lü, Lei, Tingting Zhu, Davide Morelli, et al.. (2023). Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review. IEEE Reviews in Biomedical Engineering. 17. 180–196. 9 indexed citations
5.
Baldrati, Alberto, et al.. (2023). Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. CINECA IRIS Institutial research information system (University of Pisa). 23336–23345. 32 indexed citations
6.
Gkrania‐Klotsas, Effrossyni, Davide Morelli, Alexander Moore, et al.. (2023). Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity. Scientific Reports. 13(1). 10581–10581.
7.
Reed, Angus B., et al.. (2021). Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study. European Heart Journal - Digital Health. 2(4). 658–666. 59 indexed citations
8.
Morelli, Davide, et al.. (2021). Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population. Frontiers in Psychiatry. 12. 689026–689026. 1 indexed citations
9.
Ponzo, Sonia, et al.. (2021). Measuring Interoception: The CARdiac Elevation Detection Task. Frontiers in Psychology. 12. 712896–712896. 16 indexed citations
10.
Rossi, Alessio, Dino Pedreschi, David A. Clifton, & Davide Morelli. (2020). Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts. Sensors. 20(24). 7122–7122. 11 indexed citations
12.
Kawadler, Jamie M., et al.. (2020). Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study. JMIR Formative Research. 4(11). e18067–e18067. 11 indexed citations
13.
14.
Morelli, Davide, David Plans, Alan Brown, et al.. (2019). ComeHere: Exploiting ethereum for secure sharing of health-care data. Lecture notes in computer science. 585–596. 1 indexed citations
15.
Morelli, Davide, et al.. (2019). A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate. Physiological Measurement. 40(9). 95001–95001. 11 indexed citations
16.
Bacciu, Davide, Michele Colombo, Davide Morelli, & David Plans. (2018). Randomized neural networks for preference learning with physiological data. Neurocomputing. 298. 9–20. 10 indexed citations
17.
Bacciu, Davide, Michele Colombo, Davide Morelli, & David Plans. (2017). ELM Preference Learning for Physiological Data. The European Symposium on Artificial Neural Networks. 99–104. 2 indexed citations
18.
Cropley, Mark, David Plans, Davide Morelli, et al.. (2017). The Association between Work-Related Rumination and Heart Rate Variability: A Field Study. Frontiers in Human Neuroscience. 11. 27–27. 48 indexed citations
19.
Cisternino, Antonio, Paolo Ferragina, Davide Morelli, & Massimo Coppola. (2010). Information processing at work: On a theory for experimental algorithm complexity. UnipiEprints Open Archive (Università di Pisa). 1 indexed citations
20.
Plans, David & Davide Morelli. (2007). REMEMBERING THE FUTURE : AN OVERVIEW OF CO-EVOLUTION IN MUSICAL IMPROVISATION.. Brunel University Research Archive (BURA) (Brunel University London). 2007. 6 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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