Guido Matrella

911 citations
45 papers · 589 indexed · h-index 14

Impact in

Papers in

Guido Matrella

42 papers receiving 562 citations

Peers

Guido Matrella
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 159
  • Biomedical Engineering 234
  • Radiation 37
  • Public Health, Environmental and Occupational Health 115
  • Cardiology and Cardiovascular Medicine 77
Replace Massimiliano Donati with:
Massimiliano Donati Italy
Giuliano Grossi Italy
Wen‐Tzeng Huang Taiwan
Hans Weda Netherlands
Jayanta Mukhopadhyay India
Ramin Fallahzadeh United States
Dong Youn Kim South Korea
Rafael Gadea Gironés Spain
Jie Liang China
Guido Matrella relative to Massimiliano Donati Italy Massimiliano Donati's profile →
Citations per field
00.5×9.3×
Massimiliano Donati · 1×
Citations per year

Countries citing papers authored by Guido Matrella

Since Specialization
Citations

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

Fields of papers citing papers by Guido Matrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20257
2 20250
3 20251
4 20240
5 20246
6 20245
7 20235
8 20238
9 20211
10 202022
11 20206
12 202019
13 202019
14 202013
15 201921
16 201917
17 201827
18 201760
19 201723
20
A Custom VLSI Architecture for the Solution of FDTD Equations
200224

About Guido Matrella

Guido Matrella is a scholar working on Computer Vision and Pattern Recognition, Nuclear and High Energy Physics, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Radiation, having authored 45 papers that have together received 589 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (16 papers), Non-Invasive Vital Sign Monitoring (14 papers), ECG Monitoring and Analysis (8 papers), CCD and CMOS Imaging Sensors (7 papers), Particle Detector Development and Performance (6 papers), Healthcare Technology and Patient Monitoring (6 papers), Energy Efficient Wireless Sensor Networks (4 papers) and IoT-based Smart Home Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Biomedical Engineering (234 citations), Radiation (37 citations), Public Health, Environmental and Occupational Health (115 citations) and Cardiology and Cardiovascular Medicine (77 citations). Guido Matrella has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Paolo Ciampolini, Ilaria De Munari, Stefano Cagnoni, Monica Mordonini, Niccolò Mora, P. Ciampolini, P. Placidi, Valentina Bianchi, D. Passeri and A. Marras. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science and Future Internet.

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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