S.M. Panas

67 papers receiving 1.9k citations

Peers

S.M. Panas
Comparison fields: 5 of 113
  • Signal Processing 366
  • Computer Vision and Pattern Recognition 600
  • Ophthalmology 212
  • Geophysics 297
  • Pulmonary and Respiratory Medicine 524
Replace Victor M. Lubecke with:
Victor M. Lubecke United States
Yasser M. Kadah Egypt
Olga Borić-Lubecke United States
Samarendra Dandapat India
François G. Meyer United States
Vahid Abolghasemi United Kingdom
Rafeef Abugharbieh Canada
Hamid Abrishami Moghaddam Iran
Noboru Sugie Japan
NG Kingsbury United Kingdom
S.M. Panas relative to Victor M. Lubecke United States Victor M. Lubecke's profile →
Citations per field
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Victor M. Lubecke · 1×
Citations per year

Countries citing papers authored by S.M. Panas

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Panas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Panas. 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 S.M. Panas. The network helps show where S.M. Panas may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998306
2 2002234
3 1998193
4 1992135
5 1998114
6 1997113
7 199786
8 199871
9 200164
10 200059
11 200455
12 200143
13 200539
14 200036
15 200635
16 201033
17 200432
18 200329
19 200529
20 199727

About S.M. Panas

S.M. Panas is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Signal Processing, Mechanics of Materials and Cognitive Neuroscience, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (18 papers), Flow Measurement and Analysis (8 papers), Image and Signal Denoising Methods (8 papers), Non-Destructive Testing Techniques (7 papers), Multisensory perception and integration (5 papers), Blind Source Separation Techniques (5 papers), Action Observation and Synchronization (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Signal Processing (366 citations), Computer Vision and Pattern Recognition (600 citations), Ophthalmology (212 citations), Geophysics (297 citations) and Pulmonary and Respiratory Medicine (524 citations). S.M. Panas has collaborated with scholars based in Greece, United Kingdom and Germany. Frequent co-authors include Leontios J. Hadjileontiadis, Y.A. Tolias, Emmanouil E. Kriezis, Theodoros D. Tsiboukis, J.A. Tegopoulos, Ioannis T. Rekanos, R.S.H. Istepanian, Christos Mavrogiannis, Christos Liatsos and Lefteri H. Tsoukalas. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Magnetics, IEEE Antennas and Propagation Magazine, Computers in Biology and Medicine and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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