Tamás Párdy

463 citations
31 papers · 309 · h-index 7

Impact in

Papers in

    • Microfluidic and Capillary Electrophoresis Applications 13
    • Innovative Microfluidic and Catalytic Techniques Innovation 12
    • Biosensors and Analytical Detection 8
    • 3D Printing in Biomedical Research 3
    • Electrowetting and Microfluidic Technologies 12
    • Gas Sensing Nanomaterials and Sensors 2

Tamás Párdy

27 papers receiving 300 citations

Peers

Tamás Párdy
Comparison fields: 5 of 62
  • Computer Networks and Communications 121
  • Biomedical Engineering 147
  • Information Systems 55
  • Health Information Management 8
  • Electrical and Electronic Engineering 96
Replace Kangsun Lee with:
Kangsun Lee South Korea
Amna Mughees Malaysia
Paras Chawla India
Mrinmoy Barua Canada
D. Kothandaraman India
Paul Muschamp United Kingdom
Stephen S. Oyewobi South Africa
Marcelo A. Marotta Brazil
Konstantinos Parasyris United States
Mohamed Aymen Chalouf France
Tamás Párdy relative to Kangsun Lee South Korea Kangsun Lee's profile →
Citations per field
00.5×10×15×18.3×
Kangsun Lee · 1×
Citations per year

Countries citing papers authored by Tamás Párdy

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Párdy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Tamás Párdy, 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 Tamás Párdy Line = papers co-authored together Tamás Párdy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018180
2 202123
3 201714
4 201710
5 20198
6 20217
7 20186
8 20156
9 20186
10 20225
11 20165
12 20125
13 20164
14 20224
15 20234
16 20213
17 20223
18 20153
19 20222
20 20222

About Tamás Párdy

Tamás Párdy is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 309 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (13 papers), Electrowetting and Microfluidic Technologies (12 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Biosensors and Analytical Detection (8 papers), 3D Printing in Biomedical Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (121 citations), Biomedical Engineering (147 citations), Information Systems (55 citations), Health Information Management (8 citations) and Electrical and Electronic Engineering (96 citations). Tamás Párdy has collaborated with scholars based in Estonia, Hungary and United States. Frequent co-authors include Yannick Le Moullec, Muhammad Mahtab Alam, Alar Kuusik, Hassan Malik, Muhidul Islam Khan, Toomas Rang, Indrek Tulp, Ott Scheler, Z. Fekete and Dan Cojoc. Their work appears in journals such as IEEE Access, Physics of Fluids, PLoS ONE, Sensors and Langmuir.

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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