Charalampos Pitsalidis

1.9k citations
45 papers · 1.5k indexed · h-index 24

Charalampos Pitsalidis

43 papers receiving 1.5k citations

Peers

Charalampos Pitsalidis
Comparison fields: 5 of 91
  • Polymers and Plastics 745
  • Bioengineering 152
  • Biomedical Engineering 751
  • Cellular and Molecular Neuroscience 264
  • Electrical and Electronic Engineering 739
Replace Nannan Jian with:
Nannan Jian China
Liangqi Ouyang Sweden
Anneng Yang Hong Kong
Dashen Dong Australia
Jong Seob Choi South Korea
Hyejeong Seong South Korea
Noelle I. Rabiah United States
Songlin Xie China
Anna‐Maria Pappa United Kingdom
Faqi Hu China
Charalampos Pitsalidis relative to Nannan Jian China Nannan Jian's profile →
Citations per field
00.5×9.4×
Nannan Jian · 1×
Citations per year

Countries citing papers authored by Charalampos Pitsalidis

Since Specialization
Citations

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

Fields of papers citing papers by Charalampos Pitsalidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20250
4 20254
5 202411
6 202426
7 202348
8 202311
9 202310
10 202238
11 202213
12 202224
13 2021100
14 202019
15 202041
16 201930
17 201948
18 201745
19 201551
20 200915

About Charalampos Pitsalidis

Charalampos Pitsalidis is a scholar working on Polymers and Plastics, Bioengineering and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Conducting polymers and applications (25 papers), Advanced Sensor and Energy Harvesting Materials (15 papers), Organic Electronics and Photovoltaics (12 papers), Neuroscience and Neural Engineering (12 papers), Analytical Chemistry and Sensors (6 papers), Advanced Memory and Neural Computing (4 papers), Electrochemical Analysis and Applications (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Polymers and Plastics (745 citations), Bioengineering (152 citations) and Biomedical Engineering (751 citations). Charalampos Pitsalidis has collaborated with scholars based in United Kingdom, Greece and United Arab Emirates. Frequent co-authors include S. Logothetidis, Róisı́n M. Owens, Panagiotis Karagiannidis, Anna‐Maria Pappa, S. Kassavetis, Donata Iandolo, A. Laskarakis, N. Kalfagiannis, Chrysanthi‐Maria Moysidou and Magali Ferro. Their work appears in journals such as Chemical Reviews, Advanced Materials and SHILAP Revista de lepidopterología.

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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