Oriol Pont

825 citations
15 papers · 128 · h-index 8

Impact in

Papers in

Oriol Pont

11 papers receiving 123 citations

Peers

Oriol Pont
Comparison fields: 5 of 43
  • Signal Processing 36
  • Oceanography 27
  • Statistical and Nonlinear Physics 22
  • Economics and Econometrics 31
  • Modeling and Simulation 5
Replace Jacopo Grazzini with:
Jacopo Grazzini France
Sergey Demin Russia
Luis M. Rodríguez United States
Teimuraz Matcharashvili Georgia
Stamen Dolaptchiev Germany
Shiraj Khan United States
Yogesh Virkar United States
Riccardo Gatto Switzerland
A. J. Lee New Zealand
F. Posner United States
Oriol Pont relative to Jacopo Grazzini France Jacopo Grazzini's profile →
Citations per field
00.5×2.7×
Jacopo Grazzini · 1×
Citations per year

Countries citing papers authored by Oriol Pont

Since Specialization
Citations

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

Fields of papers citing papers by Oriol Pont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Oriol Pont, 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 Oriol Pont Line = papers co-authored together Oriol Pont links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201422
2 200920
3 200617
4 201214
5 201412
6 201112
7 20119
8 20159
9 20096
10 20154
11 20103
12
Application of the microcanonical multiscale formalism to segmentation of speech signals
20100
13
Application du formalisme multiéchelles microcanonique pour la segmentation des signaux de parole
20100
14 20130
15
A Novel Analysis Method to Characterize Heartbeat Dynamics through the Microcanonical Multiscale Formalism.
20110

About Oriol Pont

Oriol Pont is a scholar working on Signal Processing, Artificial Intelligence, Economics and Econometrics, Molecular Biology and Finance, having authored 15 papers that have together received 128 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Complex Systems and Time Series Analysis (5 papers), Time Series Analysis and Forecasting (3 papers), Financial Risk and Volatility Modeling (3 papers), Theoretical and Computational Physics (2 papers), Image and Signal Denoising Methods (2 papers), Music and Audio Processing (2 papers) and Blind Source Separation Techniques (2 papers). The work is most often cited by research in Signal Processing (36 citations), Oceanography (27 citations), Statistical and Nonlinear Physics (22 citations), Economics and Econometrics (31 citations) and Modeling and Simulation (5 citations). Oriol Pont has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Antonio Turiel, Hussein Yahia, Conrad J. Pérez-Vicente, Khalid Daoudi, Sabir Jacquir, Binbin Xu, S. Binczak, Véronique Garçon, Joël Sudre and Gabriel Laurent. Their work appears in journals such as Journal of Economic Interaction and Coordination, Neurocomputing, Physica A Statistical Mechanics and its Applications, Physiological Measurement and IEEE Transactions on Geoscience and Remote Sensing.

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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