D. Marioli

4.9k citations
206 papers · 3.8k · h-index 32

Impact in

Papers in

D. Marioli

201 papers receiving 3.6k citations

Peers

D. Marioli
Comparison fields: 5 of 108
  • Bioengineering 520
  • Computer Networks and Communications 1.3k
  • Electrical and Electronic Engineering 2.3k
  • Biomedical Engineering 1.6k
  • Hardware and Architecture 166
Replace G.C.M. Meijer with:
G.C.M. Meijer Netherlands
Jong‐Gwan Yook South Korea
Johan H. Huijsing Netherlands
Alexander Mamishev United States
Giuseppe Ferri Italy
P. Malcovati Italy
Ada Fort Italy
Marco Mugnaini Italy
E. Sánchez‐Sinencio United States
Ahmed S. Elwakil United Arab Emirates
D. Marioli relative to G.C.M. Meijer Netherlands G.C.M. Meijer's profile →
Citations per field
00.5×4.6×
G.C.M. Meijer · 1×
Citations per year

Countries citing papers authored by D. Marioli

Since Specialization
Citations

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

Fields of papers citing papers by D. Marioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007348
2 1992249
3 2008163
4 2008125
5 2004102
6 201692
7 200666
8 200557
9 200856
10 200955
11 200951
12 200849
13 199349
14 200648
15 200747
16 200847
17 198845
18 200143
19 200942
20 201042

About D. Marioli

D. Marioli is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Bioengineering, having authored 206 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (57 papers), Advanced MEMS and NEMS Technologies (57 papers), Analytical Chemistry and Sensors (34 papers), Mechanical and Optical Resonators (34 papers), Acoustic Wave Resonator Technologies (33 papers), Network Time Synchronization Technologies (28 papers), Gas Sensing Nanomaterials and Sensors (27 papers) and Advanced Sensor Technologies Research (21 papers). The work is most often cited by research in Bioengineering (520 citations), Computer Networks and Communications (1.3k citations), Electrical and Electronic Engineering (2.3k citations), Biomedical Engineering (1.6k citations) and Hardware and Architecture (166 citations). D. Marioli has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include A. Taroni, Vittorio Ferrari, Alessandra Flammini, Emilio Sardini, Paolo Ferrari, Marco Ferrari, Emiliano Sisinni, Michele Guizzetti, Alessandro Depari and Mauro Serpelloni. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Sensors and Actuators A Physical, Measurement Science and Technology, Electronics Letters and Sensors and Actuators B Chemical.

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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