L. Vékás

4.2k citations
139 papers · 3.3k indexed · h-index 33

L. Vékás

137 papers receiving 3.2k citations

Peers

L. Vékás
Comparison fields: 5 of 124
  • Biomaterials 691
  • Biomedical Engineering 2.1k
  • Renewable Energy, Sustainability and the Environment 514
  • Physiology 109
  • Molecular Medicine 110
Replace R.V. Upadhyay with:
R.V. Upadhyay India
А. П. Сафронов Russia
Jon Otto Fossum Norway
Fabrice Cousin France
Christophe Baravian France
Sabine Rosenfeldt Germany
Olga I. Vinogradova Russia
Qinghua Zeng Australia
Yingxi Zhu United States
S.S. Dukhin Ukraine
L. Vékás relative to R.V. Upadhyay India R.V. Upadhyay's profile →
Citations per field
00.5×5.8×
R.V. Upadhyay · 1×
Citations per year

Countries citing papers authored by L. Vékás

Since Specialization
Citations

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

Fields of papers citing papers by L. Vékás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20230
3 20215
4 202083
5 202022
6 202012
7 201918
8 201951
9 201841
10 201725
11 20155
12 201431
13 201432
14 20142
15 20131
16 201150
17 200945
18 200883
19
Complex characterization of physiology solution based magnetic fluid
20042
20 200322

About L. Vékás

L. Vékás is a scholar working on Biomedical Engineering, Biomaterials, Molecular Medicine, Nuclear and High Energy Physics and Physiology, having authored 139 papers that have together received 3.3k indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (82 papers), Geomagnetism and Paleomagnetism Studies (24 papers), Nanoparticle-Based Drug Delivery (18 papers), NMR spectroscopy and applications (17 papers), Iron oxide chemistry and applications (16 papers), Vibration Control and Rheological Fluids (11 papers), Minerals Flotation and Separation Techniques (11 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). The work is most often cited by research in Biomaterials (691 citations), Biomedical Engineering (2.1k citations), Renewable Energy, Sustainability and the Environment (514 citations), Physiology (109 citations) and Molecular Medicine (110 citations). L. Vékás has collaborated with scholars based in Romania, Russia and Hungary. Frequent co-authors include Doina Bica, М. В. Авдеев, Vlad Socoliuc, Rodica Turcu, Oana Marinică, Etelka Tombácz, Daniela Susan-Resiga, D. Bica, Theodora Krasia‐Christoforou and Vasil M. Garamus. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Journal of Colloid and Interface Science, Soft Matter, Applied Surface Science and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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