Dan Istrate

64 papers receiving 813 citations

Peers

Dan Istrate
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 267
  • Rehabilitation 87
  • Signal Processing 96
  • Physical Therapy, Sports Therapy and Rehabilitation 33
  • Human-Computer Interaction 36
Replace María Lindén with:
María Lindén Sweden
Mounir Mokhtari France
Thomas Ploetz United States
Yacine Amirat France
Ferhat Attal France
Shing-Hong Liu Taiwan
Victor Cionca Ireland
Atena Roshan Fekr Canada
Che‐Wei Lin Taiwan
Josef Hallberg Sweden
Dan Istrate relative to María Lindén Sweden María Lindén's profile →
Citations per field
00.5×1.6×
María Lindén · 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200985
2 200276
3 200672
4 201167
5 201965
6 201147
7 201641
8 201232
9 201826
10 201821
11 202317
12 201715
13 200915
14 201914
15 201913
16 202213
17 201613
18 201313
19 201612
20 201611

About Dan Istrate

Dan Istrate is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Signal Processing and Pulmonary and Respiratory Medicine, having authored 73 papers that have together received 850 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (19 papers), Non-Invasive Vital Sign Monitoring (10 papers), Music and Audio Processing (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Phonocardiography and Auscultation Techniques (7 papers), Speech and Audio Processing (7 papers), Stroke Rehabilitation and Recovery (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Rehabilitation (87 citations), Signal Processing (96 citations), Physical Therapy, Sports Therapy and Rehabilitation (33 citations) and Human-Computer Interaction (36 citations). Dan Istrate has collaborated with scholars based in France, Romania and United States. Frequent co-authors include Jérôme Boudy, Bernadette Dorizzi, Michel Vacher, Anaïck Perrochon, Jean‐Christophe Daviet, Marie‐Christine Ho Ba Tho, Tien Tuan Dao, Eric Castelli, Jean-François Sérignat and Laurent Besacier. Their work appears in journals such as Sensors, IEEE Journal of Biomedical and Health Informatics, JMIR Serious Games, IEEE Access and Polymer Degradation and Stability.

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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