Eric Laciar
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 29
- Human-Computer Interaction top 2%
- Signal Processing top 2%
- Blind Source Separation Techniques 11
-
- ECG Monitoring and Analysis 32
- Cardiac electrophysiology and arrhythmias 19
- Heart Rate Variability and Autonomic Control 10
-
- Non-Invasive Vital Sign Monitoring 13
-
- Neuroscience and Neural Engineering 11
-
- Phonocardiography and Auscultation Techniques 6
- Co-authors
- Agustina Garcés CorreaPablo DíezLorena OroscoVicente MutMax E. ValentinuzziR. JanéEnrique ÁvilaH. Daniel Patiño
- Journals
- Computers in Biology and Medicine (3 papers)Robotica (1 paper)Methods of Information in Medicine (1 paper)
- Partner nations
- ArgentinaSpainUnited States
In The Last Decade
Eric Laciar
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 996
- Human-Computer Interaction 186
- Signal Processing 309
- Experimental and Cognitive Psychology 228
- Cardiology and Cardiovascular Medicine 381
Countries citing papers authored by Eric Laciar
This map shows the geographic impact of Eric Laciar'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 Eric Laciar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Laciar more than expected).
Fields of papers citing papers by Eric Laciar
This network shows the impact of papers produced by Eric Laciar. 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 Eric Laciar. The network helps show where Eric Laciar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Laciar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Quaternion Neural Network with Temporal Feedback Calculation: Application to Cardiac Vector Velocity during Myocardial Infarction | 2017 | 1 |
| 2 | 2016 | 12 | |
| 3 | 2016 | 69 | |
| 4 | 2015 | 17 | |
| 5 | 2014 | 31 | |
| 6 | 2013 | 3 | |
| 7 | Study of QRS-loop parameters and conventional ST-T indexes for identification of ischemic and healthy subjects | 2012 | 3 |
| 8 | 2011 | 21 | |
| 9 | 2010 | 42 | |
| 10 | 2010 | 2 | |
| 11 | 2010 | 23 | |
| 12 | 2010 | 11 | |
| 13 | Analysis of ventricular late potentials in high resolution ecg records by time-frequency representations | 2009 | 8 |
| 14 | 2009 | 45 | |
| 15 | 2009 | 37 | |
| 16 | 2009 | 25 | |
| 17 | 2009 | 10 | |
| 18 | Evaluation of myocardial damage in chagasic patients from the signal-averaged and beat-to beat analysis of the high resolution electrocardiogram | 2006 | 7 |
| 19 | Detección y Análisis Latido a Latido de Potenciales Tardíos Ventriculares mediante mapas Espectro-Temporales | 2005 | 0 |
| 20 | 2003 | 30 |
About Eric Laciar
Eric Laciar is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (32 papers), EEG and Brain-Computer Interfaces (29 papers), Cardiac electrophysiology and arrhythmias (19 papers), Non-Invasive Vital Sign Monitoring (13 papers), Blind Source Separation Techniques (11 papers), Neuroscience and Neural Engineering (11 papers), Heart Rate Variability and Autonomic Control (10 papers) and Phonocardiography and Auscultation Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (996 citations), Human-Computer Interaction (186 citations) and Signal Processing (309 citations). Eric Laciar has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Agustina Garcés Correa, Pablo Díez, Lorena Orosco, Vicente Mut, Max E. Valentinuzzi, R. Jané, Enrique Ávila, H. Daniel Patiño, Abel Torres and Pedro David Arini. Their work appears in journals such as Computers in Biology and Medicine, Robotica, Methods of Information in Medicine, Journal of NeuroEngineering and Rehabilitation and IEEE Transactions on Biomedical Engineering.
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.