A. Mortara

700 citations
27 papers · 519 · h-index 12

Impact in

Papers in

A. Mortara

27 papers receiving 496 citations

Peers

A. Mortara
Comparison fields: 5 of 49
  • Cellular and Molecular Neuroscience 141
  • Electrical and Electronic Engineering 435
  • Statistics, Probability and Uncertainty 41
  • Bioengineering 32
  • Cognitive Neuroscience 92
Replace Antoine Dupret with:
Antoine Dupret France
Nicola Massari Italy
Fabio L. Traversa Italy
Jerald G. Graeme
B. Dierickx Belgium
J. Krämer Switzerland
Jacques C. Rudell United States
M. Schwarz Germany
Huailin Liao China
A. C. Abusleme Hoffman Chile
A. Mortara relative to Antoine Dupret France Antoine Dupret's profile →
Citations per field
00.5×8.2×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199580
2 199471
3 199769
4 200249
5 199245
6 200840
7 201126
8 200223
9 201320
10 201718
11 199715
12 201713
13 202210
14 20127
15 20086
16 19954
17 20124
18 19954
19 19933
20 20123

About A. Mortara

A. Mortara is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Biomedical Engineering, Statistics, Probability and Uncertainty and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Electrical Measurement Techniques (12 papers), Sensor Technology and Measurement Systems (6 papers), Power Quality and Harmonics (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (4 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (141 citations), Electrical and Electronic Engineering (435 citations), Statistics, Probability and Uncertainty (41 citations), Bioengineering (32 citations) and Cognitive Neuroscience (92 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, Pierre‐Yves Burgi, Massimo Barbaro, F. Heitger and Luca Callegaro. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Journal of Solid-State Circuits, Metrologia, Analog Integrated Circuits and Signal Processing 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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