A. Mortara

705 citations
29 papers · 578 · h-index 12

Impact in

Papers in

A. Mortara

29 papers receiving 547 citations

Peers

A. Mortara
Comparison fields: 5 of 50
  • Cellular and Molecular Neuroscience 167
  • Electrical and Electronic Engineering 483
  • Cognitive Neuroscience 109
  • Bioengineering 32
  • Statistics, Probability and Uncertainty 41
Replace Antoine Dupret with:
Antoine Dupret France
Joerg Kramer Switzerland
Nicola Massari Italy
Hayato Wakabayashi Japan
Jerald G. Graeme
S. Vlassis Greece
David San Segundo Bello Belgium
Alan Pugh United Kingdom
Jacques Christophe Rudell United States
Fabio L. Traversa Italy
A. Mortara relative to Antoine Dupret France Antoine Dupret's profile →
Citations per field
00.5×2×4×6×8.2×
Antoine Dupret · 1×
Citations per year

Countries citing papers authored by A. Mortara

Since Specialization
Citations

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

Fields of papers citing papers by A. Mortara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199595
2 199480
3 199774
4 200251
5 199250
6 200840
7 201127
8 200223
9 201321
10 201718
11 199717
12 201713
13 202212
14 20079
15 20127
16 20086
17 19956
18 19955
19 20124
20 19934

About A. Mortara

A. Mortara is a scholar working on Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, Cellular and Molecular Neuroscience, Computer Networks and Communications and Biomedical Engineering, having authored 29 papers that have together received 578 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (12 papers), Power Quality and Harmonics (6 papers), Sensor Technology and Measurement Systems (6 papers), CCD and CMOS Imaging Sensors (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), Neuroscience and Neural Engineering (5 papers), Scientific Measurement and Uncertainty Evaluation (5 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (167 citations), Electrical and Electronic Engineering (483 citations), Cognitive Neuroscience (109 citations), Bioengineering (32 citations) and Statistics, Probability and Uncertainty (41 citations). A. Mortara has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Eric A. Vittoz, F. Overney, Eric W. McFarland, X. Arreguit, B. Jeanneret, Alain Rüfenacht, Marco Agustoni, Pierre‐Yves Burgi, Massimo Barbaro and Friedrich Heitger. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Metrologia, IEEE Journal of Solid-State Circuits, Electronics Letters and Magnetic Resonance Imaging.

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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