László Nagy

7.7k total citations
64 papers, 2.0k citations indexed

About

László Nagy is a scholar working on Nature and Landscape Conservation, Plant Science and Global and Planetary Change. According to data from OpenAlex, László Nagy has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nature and Landscape Conservation, 19 papers in Plant Science and 15 papers in Global and Planetary Change. Recurrent topics in László Nagy's work include Ecology and Vegetation Dynamics Studies (16 papers), Botany and Plant Ecology Studies (10 papers) and Forest ecology and management (10 papers). László Nagy is often cited by papers focused on Ecology and Vegetation Dynamics Studies (16 papers), Botany and Plant Ecology Studies (10 papers) and Forest ecology and management (10 papers). László Nagy collaborates with scholars based in Hungary, Brazil and United Kingdom. László Nagy's co-authors include Georg Grabherr, Colin J. Legg, John Proctor, Christian Körner, Erika Buscardo, Steven K. Schmidt, Paulo Artaxo, Edi Mirmanto, Bruce R. Forsberg and Jüergen Kreyling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

László Nagy

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
László Nagy Hungary 21 849 682 562 506 482 64 2.0k
Eva Spehn Switzerland 19 908 1.1× 507 0.7× 549 1.0× 515 1.0× 507 1.1× 34 2.0k
Beth A. Newingham United States 19 1.4k 1.7× 819 1.2× 839 1.5× 877 1.7× 776 1.6× 54 2.6k
Haibao Ren China 22 1.6k 1.8× 566 0.8× 401 0.7× 732 1.4× 684 1.4× 57 2.2k
Kevin M. Potter United States 28 966 1.1× 785 1.2× 282 0.5× 383 0.8× 735 1.5× 87 2.0k
Maria C. Caldeira Portugal 23 1.0k 1.2× 602 0.9× 750 1.3× 467 0.9× 987 2.0× 50 2.3k
Katinka X. Ruthrof Australia 24 1.1k 1.3× 811 1.2× 574 1.0× 267 0.5× 1.4k 2.9× 85 2.6k
Xiaojuan Liu China 24 1.4k 1.6× 496 0.7× 379 0.7× 575 1.1× 777 1.6× 68 2.1k
Leslie W. Powrie South Africa 17 934 1.1× 654 1.0× 372 0.7× 515 1.0× 414 0.9× 33 1.9k
Susan Cordell United States 32 1.7k 2.0× 867 1.3× 704 1.3× 839 1.7× 1.1k 2.4× 87 2.9k
Chengjin Chu China 29 1.5k 1.8× 751 1.1× 731 1.3× 857 1.7× 734 1.5× 121 2.7k

Countries citing papers authored by László Nagy

Since Specialization
Citations

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

Fields of papers citing papers by László Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of László Nagy. A scholar is included among the top collaborators of László Nagy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with László Nagy. László Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nagy, László, Srđan Stojnić, Mladen Ivanković, et al.. (2025). Large‐Scale Genomic SNP Dataset for Central and Southeast European Turkey Oak (Quercus cerris L.) Populations Generated by ddRAD‐Seq Method. Journal of Biogeography. 52(10).
2.
Nagy, László, et al.. (2024). ddRAD-seq generated genomic SNP dataset of Central and Southeast European Turkey oak (Quercus cerris L.) populations. Genetic Resources and Crop Evolution. 71(7). 3193–3203. 4 indexed citations
3.
Borovics, Attila, et al.. (2024). What we know about Turkey oak (Quercus cerris L.) — from evolutionary history to species ecology. Forestry An International Journal of Forest Research. 97(4). 497–511. 2 indexed citations
4.
Campanharo, Wesley A., Marisa Gesteira Fonseca, Maria Isabel Sobral Escada, et al.. (2023). Potential aboveground biomass increase in Brazilian Atlantic Forest fragments with climate change. Global Change Biology. 29(11). 3098–3113. 16 indexed citations
5.
Nagy, László, Cleiton B. Eller, Lina M. Mercado, et al.. (2023). South American mountain ecosystems and global change – a case study for integrating theory and field observations for land surface modelling and ecosystem management. Plant Ecology & Diversity. 16(1-2). 1–27. 5 indexed citations
6.
Vacik, Harald, Marjana Westergren, Gregor Božič, et al.. (2023). Forest managers’ perspectives on environmental changes in the biosphere reserve Mura-Drava-Danube. Frontiers in Forests and Global Change. 6. 2 indexed citations
7.
8.
Buscardo, Erika, József Geml, Steven K. Schmidt, et al.. (2022). Nitrogen pulses increase fungal pathogens in Amazonian lowland tropical rain forests. Journal of Ecology. 110(8). 1775–1789. 3 indexed citations
9.
Farkas, Máté, et al.. (2018). Az időjárási viszonyok hatása mézgás éger és kocsányos tölgy állományok növekedésére talajvízháztartás javítását célzó beavatkozások mellett. Üdvözöljük a Publicatio oldalán (University of West Hungary). 8(2). 9–16.
10.
Buscardo, Erika, et al.. (2018). Spatio-temporal dynamics of soil bacterial communities as a function of Amazon forest phenology. Scientific Reports. 8(1). 4382–4382. 42 indexed citations
11.
Nagy, László, et al.. (2014). Feature Selection Based Root Cause Analysis for Energy Monitoring and Targeting. SHILAP Revista de lepidopterología. 4 indexed citations
12.
Nagy, László, et al.. (2013). The stability of the Pinus sylvestris treeline in the Cairngorms, Scotland over the last millennium. Plant Ecology & Diversity. 6(1). 7–19. 6 indexed citations
13.
Abonyi, János, et al.. (2013). Historical Process Data Based Energy Monitoring - Model Based Time-Series Segmentation to Determine Target Values. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Buscardo, Erika, et al.. (2013). Arbuscular mycorrhizal fungal communities along a pedo-hydrological gradient in a Central Amazonian terra firme forest. Mycorrhiza. 24(1). 21–32. 45 indexed citations
15.
Nagy, László, et al.. (2012). Recurring weather extremes alter the flowering phenology of two common temperate shrubs. International Journal of Biometeorology. 57(4). 579–588. 39 indexed citations
16.
Nagy, László, et al.. (2011). Technical guidelines for the conservation and use of genetic resources: field maple, Montpellier maple and Tatar maple.. 69(9). 409–424. 1 indexed citations
17.
Legg, Colin J. & László Nagy. (2005). Why most conservation monitoring is, but need not be, a waste of time. Journal of Environmental Management. 78(2). 194–199. 343 indexed citations
18.
Nagy, László, et al.. (2002). Monitoring vegetation change caused by trampling: a study in the Cairngorms, Scotland. Botanical Journal of Scotland. 54(2). 191–207. 5 indexed citations
19.
Nagy, László & John Proctor. (1997). Plant growth and reproduction on a toxic alpine ultramafic soil: adaptation to nutrient limitation. New Phytologist. 137(2). 267–274. 55 indexed citations
20.
Nagy, László & John Proctor. (1996). The demography of Lychnis alpina L. on the Meikle Kilrannoch ultramafic site. Botanical Journal of Scotland. 48(2). 155–166. 9 indexed citations

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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