Dan Istrate

114 papers receiving 1.4k citations

Peers

Dan Istrate
Comparison fields: 5 of 132
  • Signal Processing 334
  • Computer Vision and Pattern Recognition 533
  • Rehabilitation 92
  • Artificial Intelligence 335
  • Human-Computer Interaction 53
Replace Hiroshi Mizoguchi with:
Hiroshi Mizoguchi Japan
Faïcel Chamroukhi France
Dimitrios Giakoumis Greece
Hristijan Gjoreski North Macedonia
Bor-Shing Lin Taiwan
Thomas Ploetz United States
Mohamad Ali Khalil Lebanon
María Lindén Sweden
Yu Guan China
Maheshkumar H. Kolekar India
Dan Istrate relative to Hiroshi Mizoguchi Japan Hiroshi Mizoguchi's profile →
Citations per field
00.5×2×2.7×
Hiroshi Mizoguchi · 1×
Citations per year

Countries citing papers authored by Dan Istrate

Since Specialization
Citations

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

Fields of papers citing papers by Dan Istrate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009102
2 2006100
3 200288
4 201179
5 201976
6 201159
7 201646
8
Sound Detection and Classification for Medical Telesurvey
200441
9 201236
10 201833
11 200431
12 201230
13 200625
14 202324
15 200424
16
Experimental Evaluation of Speech Recognition Technologies for Voice-based Home Automation Control in a Smart Home
201323
17 200923
18 201822
19
A fuzzy logic system for home elderly people monitoring (EMUTEM)
200921
20 201920

About Dan Istrate

Dan Istrate is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 125 papers that have together received 1.5k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (35 papers), Music and Audio Processing (26 papers), Speech and Audio Processing (25 papers), Speech Recognition and Synthesis (20 papers), Non-Invasive Vital Sign Monitoring (14 papers), Phonocardiography and Auscultation Techniques (10 papers), IoT-based Smart Home Systems (10 papers) and ECG Monitoring and Analysis (10 papers). The work is most often cited by research in Signal Processing (334 citations), Computer Vision and Pattern Recognition (533 citations), Rehabilitation (92 citations), Artificial Intelligence (335 citations) and Human-Computer Interaction (53 citations). Dan Istrate has collaborated with scholars based in France, United States and Romania. Frequent co-authors include Michel Vacher, Jérôme Boudy, Bernadette Dorizzi, Jean-François Sérignat, Eric Castelli, Tien Tuan Dao, Marie‐Christine Ho Ba Tho, Laurent Besacier, Anaïck Perrochon and Jean‐Christophe Daviet. Their work appears in journals such as Sensors, IEEE Journal of Biomedical and Health Informatics, Annals of Physical and Rehabilitation Medicine, BMC Pregnancy and Childbirth and Discrete and Continuous Dynamical Systems - S.

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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