Péter Szövényi

3.8k citations
67 papers · 2.0k · h-index 28

Impact in

Papers in

Péter Szövényi

66 papers receiving 1.9k citations

Peers

Péter Szövényi
Comparison fields: 5 of 66
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Plant Science 1.3k
  • Ecology 316
  • Molecular Biology 688
  • Ecological Modeling 44
Replace David G. Long with:
David G. Long United Kingdom
Craig F. Barrett United States
Michael Stech Netherlands
José Gabriel Segarra‐Moragues Spain
Benjamin Laenen Sweden
Linley K. Jesson New Zealand
Yasuyuki Watano Japan
Gábor Sramkó Hungary
Mats Töpel Sweden
Patrik Mráz Czechia
Péter Szövényi relative to David G. Long United Kingdom David G. Long's profile →
Citations per field
00.5×3.3×
David G. Long · 1×
Citations per year

Countries citing papers authored by Péter Szövényi

Since Specialization
Citations

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

Fields of papers citing papers by Péter Szövényi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011155
2 2018122
3 202193
4 200874
5 201173
6
UPDATED CHECKLIST AND RED LIST OF HUNGARIAN BRYOPHYTES
201073
7 201969
8 202062
9 201460
10 200958
11 201553
12 202151
13 201750
14 201247
15 201145
16 200941
17 201638
18 201037
19 200835
20 201433

About Péter Szövényi

Péter Szövényi is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Ecology and Genetics, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bryophyte Studies and Records (35 papers), Botany and Plant Ecology Studies (25 papers), Lichen and fungal ecology (15 papers), Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (9 papers), Plant and animal studies (9 papers), Peatlands and Wetlands Ecology (9 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.2k citations), Plant Science (1.3k citations), Ecology (316 citations), Molecular Biology (688 citations) and Ecological Modeling (44 citations). Péter Szövényi has collaborated with scholars based in Switzerland, United States and Hungary. Frequent co-authors include A. Jonathan Shaw, Blanka Shaw, Mariana Ricca, Manuel Waller, Fay‐Wei Li, Elena Conti, Zoltán Tóth, Stefan A. Rensing, Eftychios Frangedakis and Jakob Schneller. Their work appears in journals such as New Phytologist, The Plant Journal, Molecular Biology and Evolution, Molecular Ecology and Molecular Phylogenetics and Evolution.

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.

Explore authors with similar magnitude of impact