Andrea De Marcellis

2.3k citations
122 papers · 1.8k indexed · h-index 24
Topics
Analytical Chemistry and Sensors (50 papers)Analog and Mixed-Signal Circuit Design (32 papers)Sensor Technology and Measurement Systems (30 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsSensors and Actuators B Chemical
Partner nations
ItalySpainUnited Kingdom

In The Last Decade

Andrea De Marcellis

114 papers receiving 1.7k citations

Peers

Andrea De Marcellis
Comparison fields: 5 of 82
  • Electrical and Electronic Engineering 1.3k
  • Biomedical Engineering 943
  • Bioengineering 543
  • Computer Networks and Communications 400
  • Atomic and Molecular Physics, and Optics 277
Replace Yongcai Guo with:
Yongcai Guo China
Edwin C. Kan United States
Tor Sverre Lande Norway
Suhwan Kim South Korea
P. Malcovati Italy
Xiaojin Zhao China
Patrick Merken Belgium
Luca Callegaro Italy
Ming Qin China
Diego P. Morales Spain
Andrea De Marcellis relative to Yongcai Guo China Yongcai Guo's profile →
Citations per field
00.5×2.7×
Yongcai Guo · 1×
Citations per year

Countries citing papers authored by Andrea De Marcellis

Since Specialization
Citations

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

Fields of papers citing papers by Andrea De Marcellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea De Marcellis. 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 Andrea De Marcellis. The network helps show where Andrea De Marcellis may publish in the future.

Co-authorship network of co-authors of Andrea De Marcellis

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea De Marcellis. A scholar is included among the top collaborators of Andrea De Marcellis 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 Andrea De Marcellis. Andrea De Marcellis 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 0
6 2
7 4
8 33
9 21
10 2
11 5
12 8
13 13
14 11
15 70
16 4
17 20
18 20
19 3
20 20

About Andrea De Marcellis

Andrea De Marcellis is a scholar working on Bioengineering, Electrical and Electronic Engineering and Instrumentation, having authored 122 papers that have together received 1.8k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (50 papers), Analog and Mixed-Signal Circuit Design (32 papers) and Sensor Technology and Measurement Systems (30 papers). The work is most often cited by research in Bioengineering (543 citations), Electrical and Electronic Engineering (1.3k citations) and Biomedical Engineering (943 citations). Andrea De Marcellis has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Giuseppe Ferri, E. Palange, Vincenzo Stornelli, Alessandro Depari, Alessandra Flammini, Mohammed Janneh, Claudia Di Carlo, C. Reig, Marco Faccio and María‐Dolores Cubells‐Beltrán. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors 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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