Lorenzo D’Angelo

906 total citations
49 papers, 628 citations indexed

About

Lorenzo D’Angelo is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Lorenzo D’Angelo has authored 49 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Neurology. Recurrent topics in Lorenzo D’Angelo's work include Context-Aware Activity Recognition Systems (9 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Lorenzo D’Angelo is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Non-Invasive Vital Sign Monitoring (9 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). Lorenzo D’Angelo collaborates with scholars based in Germany, Italy and France. Lorenzo D’Angelo's co-authors include Tim C. Lueth, Houde Dai, Torsten Thiel, Damien Kinet, Julien De Jonckheere, R. Logier, Katerina Krebber, Mathieu Jeanne, Marcus Schukar and Tim Lüth and has published in prestigious journals such as Journal of the American College of Cardiology, Global Environmental Change and IEEE Sensors Journal.

In The Last Decade

Lorenzo D’Angelo

46 papers receiving 583 citations

Peers

Lorenzo D’Angelo
Comparison fields: 5 of 99
  • Biomedical Engineering 271
  • Electrical and Electronic Engineering 157
  • Building and Construction 112
  • Sociology and Political Science 95
  • Neurology 92
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Cecil W. Thomas United States
Ming Ni China
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Sebastian Mellor United Kingdom
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Xiaofang Yuan China
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Ninghua Wang China View profile →
Citations per field, relative to Lorenzo D’Angelo
Lorenzo D’Angelo · 1×
Citations per year, relative to Lorenzo D’Angelo
Lorenzo D’Angelo · 1×

Countries citing papers authored by Lorenzo D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorenzo D’Angelo. 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 Lorenzo D’Angelo. The network helps show where Lorenzo D’Angelo may publish in the future.

Co-authorship network of co-authors of Lorenzo D’Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo D’Angelo. A scholar is included among the top collaborators of Lorenzo D’Angelo 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 Lorenzo D’Angelo. Lorenzo D’Angelo 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
# Work Indexed citations
1 0
2 0
3 0
4 1
5 3
6 4
7 17
8
Changing environments, occult protests, and social memories in Sierra Leone
5
9 9
10 20
11 6
12 21
13 2
14 4
15 11
16 5
17 20
18 25
19 25
20
The badlands of Atri (Abruzzo, Central Italy): Mineralogical, geotechnical and geomorphological characters [I calanchi di Atri (Abruzzo): Caratteri mineralogici, geotecnici e geomorfologici]
1

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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