Margit Varga

542 citations
28 papers · 452 · h-index 14

Impact in

Papers in

Margit Varga

28 papers receiving 423 citations

Peers

Margit Varga
Comparison fields: 5 of 60
  • Pollution 151
  • Analytical Chemistry 101
  • Water Science and Technology 114
  • Biophysics 40
  • Health, Toxicology and Mutagenesis 72
Replace Huan He with:
Huan He China
Geng Leng China
Ebbe R. Still Finland
YU Li-ju China
G. Den Boef Netherlands
P. U. Ashvin Iresh Fernando United States
Preeti S. Kulkarni India
Jingci Li China
Nilgün Tokman Türkiye
Margit Varga relative to Huan He China Huan He's profile →
Citations per field
00.5×10×13.3×
Huan He · 1×
Citations per year

Countries citing papers authored by Margit Varga

Since Specialization
Citations

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

Fields of papers citing papers by Margit Varga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Margit Varga, 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 Margit Varga Line = papers co-authored together Margit Varga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201060
2 201138
3 200933
4 198831
5 201527
6 199327
7 201926
8 201224
9 201224
10 198523
11 198922
12 201418
13 198418
14 201917
15 198711
16 198511
17 19828
18 20196
19 20135
20 19865

About Margit Varga

Margit Varga is a scholar working on Computer Networks and Communications, Pollution, Analytical Chemistry, Water Science and Technology and Catalysis, having authored 28 papers that have together received 452 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Analytical chemistry methods development (7 papers), Adsorption and biosorption for pollutant removal (6 papers), Chemical and Physical Studies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Ionic liquids properties and applications (4 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Recycling and Waste Management Techniques (2 papers). The work is most often cited by research in Pollution (151 citations), Analytical Chemistry (101 citations), Water Science and Technology (114 citations), Biophysics (40 citations) and Health, Toxicology and Mutagenesis (72 citations). Margit Varga has collaborated with scholars based in Hungary, China and Nepal. Frequent co-authors include E. Kőrös, Gyula Záray, Imre Varga, Peter Ruoff, László Györgyi, Jun Yao, Horst Dieter Foersterling, Victor G. Mihucz, Laura Jurecska and Enikő Tatár. Their work appears in journals such as The Journal of Physical Chemistry, Microchemical Journal, Accounts of Chemical Research, Microporous and Mesoporous Materials and Journal of the American Chemical Society.

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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