János Nagy

780 total citations · 1 hit paper
26 papers, 472 citations indexed

About

János Nagy is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, János Nagy has authored 26 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 10 papers in Agronomy and Crop Science and 3 papers in Molecular Biology. Recurrent topics in János Nagy's work include Crop Yield and Soil Fertility (10 papers), Genetics and Plant Breeding (8 papers) and Leaf Properties and Growth Measurement (4 papers). János Nagy is often cited by papers focused on Crop Yield and Soil Fertility (10 papers), Genetics and Plant Breeding (8 papers) and Leaf Properties and Growth Measurement (4 papers). János Nagy collaborates with scholars based in Hungary, Iran and Canada. János Nagy's co-authors include Judit Oláh, József Popp, Hossam Haddad, Miklós Pakurár, Árpád Illés, Seyed Mohammad Nasir Mousavi, Csaba Bojtor, Endre Harsányi, Safwan Mohammed and Khodadad Mostafavi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainability.

In The Last Decade

János Nagy

21 papers receiving 437 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Service Quality Dimensions that Affect Customer Satisfaction in the Jordanian Banking Sector

2019 290 citations Miklós Pakurár, Hossam Haddad et al. Sustainability profile →

Peers

János Nagy

OBHRM

PS

MARKE

ACS

SPS

Seema Bhardwaj India

Ayesha Khan Pakistan

Michael A. Boland United States

Liang Lu United States

Cheryl J. Wachenheim United States

Ahmad Rezvanfar Iran

Décio Zylbersztajn Brazil

Shi Zheng China

Rajendra Adhikari Australia

Masyhuri Masyhuri Indonesia

Seema Bhardwaj India

János Nagy

18 ×0.1

OBHRM

109 ×0.9

PS

113 ×1.1

MARKE

47 ×0.8

ACS

93 ×1.6

SPS

Citations per year, relative to János Nagy János Nagy (= 1×) peers Seema Bhardwaj

Countries citing papers authored by János Nagy

Since Specialization

Citations

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

Fields of papers citing papers by János Nagy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of János Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of János Nagy. A scholar is included among the top collaborators of János 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 János Nagy. János Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Mousavi, Seyed Mohammad Nasir, Árpád Illés, Csaba Bojtor, et al.. (2025). Effect of harvest time on sugar content and carotenoid composition in different sweet maize hybrids. Scientific Reports. 15(1). 25758–25758.

2.

Bojtor, Csaba, et al.. (2025). Challenges in Precision Sunflower Cultivation: The Impact of the Agronomic Environment on the Quality of Precision Sowing Techniques and Yield Parameters. AgriEngineering. 7(5). 145–145.

3.

Nagy, János, et al.. (2025). Advances in Sweet Corn (Zea mays L. saccharata) Research from 2010 to 2025: Genetics, Agronomy, and Sustainable Production. Agronomy. 15(5). 1260–1260. 2 indexed citations

4.

Mostafavi, Khodadad, M. R. Bihamta, Csaba Bojtor, et al.. (2023). Selection of maize hybrids based on genotype × yield × trait (GYT) in different environments. Brazilian Journal of Biology. 84. e272093–e272093. 5 indexed citations

5.

Mousavi, Seyed Mohammad Nasir, et al.. (2023). Stability yield indices on different sweet corn hybrids based on AMMI analysis. Brazilian Journal of Biology. 84. e270680–e270680. 12 indexed citations

6.

Sipka, Sándor, et al.. (2023). Measurement of chemiluminescence induced by cytochrome c plus hydrogen peroxide to characterize the peroxidase activity of various wines and the Botrytis cinerea related quality of Aszú wines of Tokaj in Hungary. European Food Research and Technology. 250(1). 111–118. 1 indexed citations

7.

Nagy, János, et al.. (2022). Hungarian Participation in JUICE Project of European Space Agency. Acta Polytechnica Hungarica. 19(9). 25–43. 1 indexed citations

8.

Mostafavi, Khodadad, Mohammad Reza Bihamta, Seyed Mohammad Nasir Mousavi, et al.. (2022). Stability on Maize Hybrids Based on GGE Biplot Graphical Technique. Agronomy. 12(2). 394–394. 21 indexed citations

9.

Illés, Árpád, et al.. (2022). Evaluation of Grain Yield Stability in Some Selected Wheat Genotypes Using AMMI and GGE Biplot Methods. Agronomy. 12(5). 1130–1130. 24 indexed citations

10.

Mousavi, Seyed Mohammad Nasir, et al.. (2022). Analysis of Nutrient-Specific Response of Maize Hybrids in Relation to Leaf Area Index (LAI) and Remote Sensing. Plants. 11(9). 1197–1197. 13 indexed citations

11.

Mousavi, Seyed Mohammad Nasir, et al.. (2022). Quantitative and qualitative yield in sweet maize hybrids. Brazilian Journal of Biology. 84. e265735–e265735. 6 indexed citations

12.

Mostafavi, Khodadad, et al.. (2022). Comparison of Maize Genotypes Using Drought-Tolerance Indices and Graphical Analysis under Normal and Humidity Stress Conditions. Plants. 11(7). 942–942. 12 indexed citations

13.

Nyéki, Anikó, Csaba Kerepesi, Bálint Daróczy, et al.. (2021). Application of spatio-temporal data in site-specific maize yield prediction with machine learning methods. Precision Agriculture. 22(5). 1397–1415. 35 indexed citations

14.

Nagy, János, et al.. (2021). Analysis of the Content Values of Sweet Maize (Zea mays L. Convar Saccharata Koern) in Precision Farming. Agronomy. 11(12). 2596–2596. 2 indexed citations

15.

Mohammed, Safwan, et al.. (2019). Syrian crisis repercussions on the agricultural sector: Case study of wheat, cotton and olives. Regional Science Policy & Practice. 12(3). 519–537. 20 indexed citations

16.

Pakurár, Miklós, Hossam Haddad, János Nagy, József Popp, & Judit Oláh. (2019). The Service Quality Dimensions that Affect Customer Satisfaction in the Jordanian Banking Sector. Sustainability. 11(4). 1113–1113. 290 indexed citations breakdown →

17.

Nagy, János, et al.. (2012). Evaluation of the correlation between weather parameters and the normalized difference vegetation index (NDVI) determined with a field measurement method. 3 indexed citations

18.

Nagy, János. (2012). Land use, water management. Acta Agraria Debreceniensis. 81–87. 6 indexed citations

19.

Nemeskéri, Eszter, Éva Sárdi, É. Stefanovits-Bányai, et al.. (2009). Studies on the drought responses of apple trees (Malus domestica Borkh.) grafted on different rootstocks. SHILAP Revista de lepidopterología. 15(1-2). 13 indexed citations

20.

Racskó, J., et al.. (2006). Rootstock effects on fruit drop and quality of 'Arlet' apples. SHILAP Revista de lepidopterología. 12(2). 2 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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