László Baranyai

974 total citations · 1 hit paper
63 papers, 685 citations indexed

About

László Baranyai is a scholar working on Plant Science, Analytical Chemistry and Food Science. According to data from OpenAlex, László Baranyai has authored 63 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 26 papers in Analytical Chemistry and 16 papers in Food Science. Recurrent topics in László Baranyai's work include Spectroscopy and Chemometric Analyses (25 papers), Postharvest Quality and Shelf Life Management (13 papers) and Horticultural and Viticultural Research (11 papers). László Baranyai is often cited by papers focused on Spectroscopy and Chemometric Analyses (25 papers), Postharvest Quality and Shelf Life Management (13 papers) and Horticultural and Viticultural Research (11 papers). László Baranyai collaborates with scholars based in Hungary, Vietnam and Germany. László Baranyai's co-authors include Manuela Zude-Sasse, Lien Le Phuong Nguyen, Thanh Tung Pham, Dam Sao, Giuseppe Romano, József Felföldi, Klaus Gottschalk, Géza Hitka, L. Helyes and Rimfiel Janius and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Sensors.

In The Last Decade

László Baranyai

55 papers receiving 656 citations

Hit Papers

Application of Edible Coating in Extension of Fruit Shelf... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Baranyai Hungary 12 340 242 209 124 89 63 685
Lingxia Huang China 16 218 0.6× 279 1.2× 257 1.2× 193 1.6× 206 2.3× 34 848
P. Rajkumar India 12 241 0.7× 259 1.1× 386 1.8× 25 0.2× 113 1.3× 49 810
Mette Marie Løkke Denmark 16 177 0.5× 148 0.6× 214 1.0× 63 0.5× 159 1.8× 22 794
M. Grassi Italy 19 676 2.0× 441 1.8× 154 0.7× 44 0.4× 163 1.8× 76 1.0k
Xingqi Ou China 15 257 0.8× 209 0.9× 114 0.5× 29 0.2× 140 1.6× 36 622
Peiqiang Yang China 12 157 0.5× 121 0.5× 334 1.6× 41 0.3× 82 0.9× 24 688
Ann Schenk Belgium 21 810 2.4× 227 0.9× 412 2.0× 27 0.2× 97 1.1× 53 1.2k
Sandra Landahl United Kingdom 18 628 1.8× 558 2.3× 255 1.2× 32 0.3× 182 2.0× 43 1.0k
Rasool Khodabakhshian Iran 14 205 0.6× 281 1.2× 115 0.6× 19 0.2× 90 1.0× 56 514
Piotr Zapotoczny Poland 18 408 1.2× 291 1.2× 310 1.5× 15 0.1× 89 1.0× 45 860

Countries citing papers authored by László Baranyai

Since Specialization
Citations

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

Fields of papers citing papers by László Baranyai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Baranyai

This figure shows the co-authorship network connecting the top 25 collaborators of László Baranyai. A scholar is included among the top collaborators of László Baranyai 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 Baranyai. László Baranyai 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.
Sao, Dam, et al.. (2025). Review of Factors Affecting Development of Sensory Attributes of Coffee. Journal of Sensory Studies. 40(6).
2.
Nguyen, Lien Le Phuong, et al.. (2025). LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices. AgriEngineering. 7(2). 39–39.
3.
Tóth, Ferenc, Robert Horvath, Zoltán Gillay, et al.. (2025). Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT. Journal of Sensor and Actuator Networks. 14(1). 21–21. 8 indexed citations
4.
Pham, Tung Thanh, Dam Sao, László Friedrich, et al.. (2024). Assessment of plum quality changes during postharvest storage using multispectral NIR technique. Journal of Agriculture and Food Research. 18. 101476–101476. 1 indexed citations
5.
Allegro, Gianluca, Ilaria Filippetti, Chiara Pastore, et al.. (2024). Prediction of berry sunburn damage with machine learning: Results on grapevine (Vitis vinifera L.). Biosystems Engineering. 250. 62–67. 4 indexed citations
6.
Deák, Tamás, et al.. (2024). Smartphone-Based Leaf Colorimetric Analysis of Grapevine (Vitis vinifera L.) Genotypes. Horticulturae. 10(11). 1179–1179.
7.
Baranyai, László, et al.. (2024). Evaluation of Color and Pigment Changes in Tomato after 1-Methylcyclopropene (1-MCP) Treatment. Sensors. 24(8). 2426–2426. 3 indexed citations
8.
Kiskó, Gabriella, et al.. (2024). Recognition of environmental contaminant and pathogenic bacteria by means of redox potential methodology. MethodsX. 13. 102811–102811. 1 indexed citations
9.
Pham, Thanh Tung, Lien Le Phuong Nguyen, Dam Sao, & László Baranyai. (2023). Application of Edible Coating in Extension of Fruit Shelf Life: Review. AgriEngineering. 5(1). 520–536. 113 indexed citations breakdown →
10.
Pham, Thanh Tung, et al.. (2023). Non‐destructive monitoring of asparagus ( Asparagus officinalis , L) quality changes during storage using NIR spectroscopy. International Journal of Food Science & Technology. 58(11). 5972–5981. 3 indexed citations
11.
Pham, Thanh Tung, Lien Le Phuong Nguyen, Quang D. Nguyen, et al.. (2023). Evaluation of the Effect of 1-MCP Treatment on Flesh and Surface Color of Selected European and Asian Plum Fruit Using Machine Vision. Horticulturae. 9(3). 341–341. 2 indexed citations
13.
Pham, Thanh Tung, et al.. (2023). Current Techniques for Fruit Juice and Wine Adulterant Detection and Authentication. Beverages. 9(4). 84–84. 14 indexed citations
14.
Nguyen, Lien Le Phuong, et al.. (2023). Correlation of the Grapevine (Vitis vinifera L.) Leaf Chlorophyll Concentration with RGB Color Indices. Horticulturae. 9(8). 899–899. 10 indexed citations
15.
Pham, Thanh Tung, et al.. (2023). Monitoring of banana’s optical properties by laser light backscattering imaging technique during drying. Journal of Food Measurement & Characterization. 17(5). 5268–5287. 6 indexed citations
16.
Pham, Thanh Tung, et al.. (2023). Detection of fruit juice adulteration by laser backscattering imaging. Acta Horticulturae. 69–76.
17.
Nagy, Dávid, et al.. (2021). Development of a Novel Ultrasonic Spectroscopy Method for Estimation of Viscosity Change during Milk Clotting. Molecules. 26(19). 5906–5906. 1 indexed citations
18.
Nguyen, Lien Le Phuong, et al.. (2021). Color analysis of horticultural produces using hue spectra fingerprinting. MethodsX. 8. 101594–101594. 12 indexed citations
19.
Gillay, Zoltán, Zoltán Kovács, Andreas Zitek, et al.. (2020). Application of hyperspectral imaging to detect toxigenic Fusarium infection on cornmeal. Research Portal (Queen's University Belfast). 16(1). 51–60. 9 indexed citations
20.
Jóźwiak, Ákos, et al.. (2007). Redox potential measurement as a rapid method for microbiological testing and its validation for coliform determination. International Journal of Food Microbiology. 114(2). 143–148. 42 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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