Symeon Papadopoulos

2.0k citations
60 papers · 1.3k indexed · 1 hit paper · h-index 19

Symeon Papadopoulos

57 papers receiving 1.2k citations

Hit Papers

Sensing Trending Topics in Twitter280201320262017202150100150200250

Peers

Symeon Papadopoulos
Comparison fields: 5 of 132
  • Statistical and Nonlinear Physics 171
  • Computer Vision and Pattern Recognition 232
  • Cellular and Molecular Neuroscience 149
  • Cardiology and Cardiovascular Medicine 186
  • Aging 14
Replace Timo Hannay with:
Timo Hannay United Kingdom
Ahmet Saçan United States
Huan Gui China
Xinghua Lu United States
Emek Demir United States
Kevin J. Lynch United States
Gregorio Alanis‐Lobato Germany
Daniel L. Sussman United States
Zhengye Liu United States
Ju Xiang China
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Citations per field
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Citations per year

Countries citing papers authored by Symeon Papadopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Symeon Papadopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20225
4 202214
5 20209
6 20197
7 201958
8 201830
9 201822
10 201853
11 20176
12 20174
13 201716
14 20155
15 201510
16 201417
17 201310
18 20117
19 200820
20 199721

About Symeon Papadopoulos

Symeon Papadopoulos is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (16 papers), Cardiac electrophysiology and arrhythmias (10 papers), Advanced Steganography and Watermarking Techniques (9 papers), Digital Media Forensic Detection (9 papers), Neuroscience and Neural Engineering (8 papers), Pluripotent Stem Cells Research (8 papers), Thyroid Disorders and Treatments (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (171 citations), Computer Vision and Pattern Recognition (232 citations) and Cellular and Molecular Neuroscience (149 citations). Symeon Papadopoulos has collaborated with scholars based in Germany, Greece and United States. Frequent co-authors include Ioannis Kompatsiaris, Markos Zampoglou, Kurt G. Beam, Luca Maria Aiello, Carlos Martin, Ryan Skraba, Georgios Petkos, Ayşe Göker, Alejandro Jaimes and David Corney. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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