Z. Máthé

25 papers receiving 199 citations

Peers

Z. Máthé
Comparison fields: 5 of 76
  • Transplantation 9
  • Radiological and Ultrasound Technology 17
  • Information Systems and Management 22
  • Inorganic Chemistry 34
  • Geochemistry and Petrology 13
Replace E. A. Gusmano with:
E. A. Gusmano United States
Julie Lucey Ireland
Mariam Thomas United States
Chong Liu China
G. Pittomvils Belgium
Félix Más Milián Brazil
L. D. Marinelli United States
Donata Bellis Italy
J.C. Nénot France
Michael Bailey Australia
Z. Máthé relative to E. A. Gusmano United States E. A. Gusmano's profile →
Citations per field
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E. A. Gusmano · 1×
Citations per year

Countries citing papers authored by Z. Máthé

Since Specialization
Citations

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

Fields of papers citing papers by Z. Máthé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Z. Máthé, 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 Z. Máthé Line = papers co-authored together Z. Máthé 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 200435
2 201032
3 200824
4 200621
5 200617
6 201216
7 200411
8 201111
9 20157
10 20127
11 20153
12 20153
13 19593
14 20103
15 20152
16 20082
17
Isolation of influenza a virus strains from cattle. Preliminary report.
19742
18 20032
19
Mineralogical and petrographic study of some Neogene tuff layers of the Mecsek Mountains (South Hungary) and their K-Ar dating
19921
20
Diffusion of anionic species in borecore samples of Boda claystone formation
20071

About Z. Máthé

Z. Máthé is a scholar working on Geochemistry and Petrology, Computer Networks and Communications, Surgery, Information Systems and Management and Epidemiology, having authored 28 papers that have together received 208 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (5 papers), Scientific Computing and Data Management (4 papers), Geochemistry and Elemental Analysis (3 papers), Viral-associated cancers and disorders (2 papers), Hepatitis C virus research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Transplantation (9 citations), Radiological and Ultrasound Technology (17 citations), Information Systems and Management (22 citations), Inorganic Chemistry (34 citations) and Geochemistry and Petrology (13 citations). Z. Máthé has collaborated with scholars based in Hungary, Switzerland and Germany. Frequent co-authors include K. Lázár, Pascal Bucher, Léo H. Bühler, P. Morel, Michael Chilcott, Pascal Gervaz, A Casajús Ramo, E. Lanciotti, R. Graciani Diaz and R. Nandakumar. Their work appears in journals such as Transplantation, Journal of Radioanalytical and Nuclear Chemistry, Digestion, Scandinavian Journal of Gastroenterology and Transplantation Proceedings.

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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