Dimitris Spathis

32 papers receiving 608 citations

Peers

Dimitris Spathis
Comparison fields: 5 of 108
  • Signal Processing 120
  • Medical Laboratory Technology 13
  • Health Information Management 35
  • Applied Psychology 38
  • Artificial Intelligence 216
Replace Álvaro Alesanco with:
Álvaro Alesanco Spain
Faisal Farooq United States
Mobyen Uddin Ahmed Sweden
Otilia Kocsis Greece
Riad Alharbey Saudi Arabia
Ala Saleh Alluhaidan Saudi Arabia
Ascensión Gallardo-Antolín Spain
Dominique Estival Australia
Syed Thouheed Ahmed India
Hongpo Zhang China
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Citations per year

Countries citing papers authored by Dimitris Spathis

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Spathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 201788
3 202163
4 202259
5 201644
6
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening
202128
7 202224
8 202223
9 202222
10 202220
11 201918
12 201917
13 201515
14 202113
15 201713
16 201812
17 202211
18 20248
19 20247
20 20237

About Dimitris Spathis

Dimitris Spathis is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Signal Processing, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 621 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Phonocardiography and Auscultation Techniques (6 papers), Music and Audio Processing (5 papers), Advanced Text Analysis Techniques (4 papers), Ethics and Social Impacts of AI (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Signal Processing (120 citations), Medical Laboratory Technology (13 citations), Health Information Management (35 citations), Applied Psychology (38 citations) and Artificial Intelligence (216 citations). Dimitris Spathis has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Cecilia Mascolo, Panagiotis Vlamos, Ignacio Perez-Pozuelo, Nicholas J. Wareham, Søren Brage, Andreas Grammenos, Apinan Hasthanasombat, Jing Han, Pietro Cicuta and Xia Tong. Their work appears in journals such as Scientific Reports, Journal of Medical Internet Research, npj Digital Medicine, Journal of the American Medical Informatics Association and Knowledge-Based Systems.

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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