Árpád Ámbrus

2.3k total citations
77 papers, 1.7k citations indexed

About

Árpád Ámbrus is a scholar working on Food Science, Plant Science and Analytical Chemistry. According to data from OpenAlex, Árpád Ámbrus has authored 77 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Food Science, 27 papers in Plant Science and 23 papers in Analytical Chemistry. Recurrent topics in Árpád Ámbrus's work include Pesticide Residue Analysis and Safety (63 papers), Analytical chemistry methods development (17 papers) and Pesticide and Herbicide Environmental Studies (17 papers). Árpád Ámbrus is often cited by papers focused on Pesticide Residue Analysis and Safety (63 papers), Analytical chemistry methods development (17 papers) and Pesticide and Herbicide Environmental Studies (17 papers). Árpád Ámbrus collaborates with scholars based in Hungary, Austria and United States. Árpád Ámbrus's co-authors include Denis Hamilton, Sue‐Sun Wong, Caroline Harris, Allan S. Felsot, Zsuzsa Farkas, Patrick T. Holland, John Unsworth, Norio Kurihara, Arata Katayama and Jan Linders and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Journal of Chromatography A.

In The Last Decade

Árpád Ámbrus

74 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Árpád Ámbrus Hungary 20 930 591 425 400 211 77 1.7k
Martha B. Adaime Brazil 25 966 1.0× 326 0.6× 709 1.7× 402 1.0× 246 1.2× 72 1.7k
Jeong‐Heui Choi South Korea 25 1.2k 1.3× 389 0.7× 617 1.5× 404 1.0× 474 2.2× 93 1.9k
Jiye Hu China 21 741 0.8× 378 0.6× 231 0.5× 392 1.0× 308 1.5× 78 1.3k
Piotr Kaczyński Poland 30 1.5k 1.6× 986 1.7× 516 1.2× 646 1.6× 632 3.0× 137 2.7k
Magdalena Jankowska Poland 16 773 0.8× 423 0.7× 255 0.6× 244 0.6× 292 1.4× 50 1.1k
Mingrong Qian China 25 468 0.5× 295 0.5× 328 0.8× 604 1.5× 176 0.8× 98 1.8k
Jiyun Nie China 25 517 0.6× 599 1.0× 397 0.9× 220 0.6× 183 0.9× 52 1.5k
Yongtao Han China 25 899 1.0× 270 0.5× 547 1.3× 278 0.7× 338 1.6× 37 1.4k
Xinglu Pan China 26 675 0.7× 354 0.6× 273 0.6× 620 1.6× 453 2.1× 89 1.7k
Despina Tsipi Greece 17 537 0.6× 133 0.2× 511 1.2× 421 1.1× 160 0.8× 25 1.2k

Countries citing papers authored by Árpád Ámbrus

Since Specialization
Citations

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

Fields of papers citing papers by Árpád Ámbrus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Árpád Ámbrus

This figure shows the co-authorship network connecting the top 25 collaborators of Árpád Ámbrus. A scholar is included among the top collaborators of Árpád Ámbrus 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 Árpád Ámbrus. Árpád Ámbrus 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.
Ámbrus, Árpád, et al.. (2023). Quality Control of Pesticide Residue Measurements and Evaluation of Their Results. Molecules. 28(3). 954–954. 9 indexed citations
2.
Ámbrus, Árpád, et al.. (2023). Assessment of Hungarian Consumers’ Exposure to Pesticide Residues Based on the Results of Pesticide Residue Monitoring between 2017 and 2021. SHILAP Revista de lepidopterología. 2(3). 458–483. 2 indexed citations
3.
Ámbrus, Árpád, et al.. (2023). Evaluation of Monitoring Data in Foods. SHILAP Revista de lepidopterología. 2(1). 69–95. 7 indexed citations
4.
Farkas, Zsuzsa, Andrea Zentai, Miklós Süth, et al.. (2022). A Systematic Review of the Efficacy of Interventions to Control Aflatoxins in the Dairy Production Chain—Feed Production and Animal Feeding Interventions. Toxins. 14(2). 115–115. 9 indexed citations
5.
Farkas, Zsuzsa, Árpád Ámbrus, Miklós Süth, et al.. (2022). Probabilistic modeling and risk characterization of the chronic aflatoxin M1 exposure of Hungarian consumers. Frontiers in Microbiology. 13. 1000688–1000688. 9 indexed citations
6.
Ámbrus, Árpád, Attila Nagy, Andrea Zentai, et al.. (2020). Detection of Aflatoxins in Different Matrices and Food-Chain Positions. Frontiers in Microbiology. 11. 1916–1916. 76 indexed citations
7.
Serraino, Andrea, Paolo Bonilauri, Zsuzsa Farkas, et al.. (2019). Occurrence of Aflatoxin M1 in Raw Milk Marketed in Italy: Exposure Assessment and Risk Characterization. Frontiers in Microbiology. 10. 2516–2516. 74 indexed citations
8.
Bonilauri, Paolo, Andrea Serraino, Federica Giacometti, et al.. (2016). An effective self-control strategy for the reduction of aflatoxin M1 content in milk and to decrease the exposure of consumers. Food Additives & Contaminants Part A. 33(12). 1840–1849. 7 indexed citations
9.
Farkas, Zsuzsa, Marcello Trevisani, Zsuzsanna Horváth, et al.. (2014). Analysis of industry-generated data. Part 2: Risk-based sampling plan for efficient self-control of aflatoxin M 1 contamination in raw milk. Food Additives & Contaminants Part A. 31(7). 1257–1273. 2 indexed citations
10.
Karasali, Helen, Konstantinos M. Kasiotis, Kyriaki Machera, & Árpád Ámbrus. (2014). Case Study To Illustrate an Approach for Detecting Contamination and Impurities in Pesticide Formulations. Journal of Agricultural and Food Chemistry. 62(47). 11347–11352. 14 indexed citations
11.
Farkas, Zsuzsa, et al.. (2013). Estimation of sampling uncertainty for pesticide residues in root vegetable crops. Journal of Environmental Science and Health Part B. 49(1). 1–14. 12 indexed citations
12.
Horváth, Zsuzsanna, et al.. (2013). Limitations in the determination of maximum residue limits and highest residues of pesticides: Part I. Journal of Environmental Science and Health Part B. 49(3). 143–152. 9 indexed citations
13.
Ömeroğlu, Perihan Yolcı, Árpád Ámbrus, & Dilek Boyacıoğlu. (2012). Estimation of the uncertainties of extraction and clean-up steps in pesticide residue analysis of plant commodities. Food Additives & Contaminants Part A. 30(2). 308–320. 2 indexed citations
14.
Caldas, Eloísa Dutra, et al.. (2006). Variability of organophosphorus insecticide residues in large size crops grown in commercial farms in Brazil. Food Additives & Contaminants. 23(2). 148–158. 12 indexed citations
15.
Ámbrus, Árpád, et al.. (2006). Estimation of Efficiency of Processing Soil Samples for Pesticide Residues Analysis. Journal of Environmental Science and Health Part B. 41(5). 531–552. 11 indexed citations
16.
17.
Ámbrus, Árpád, et al.. (2004). Estimation of uncertainty of analytical results based on multiple peaks. Journal of Chromatography A. 1029(1-2). 161–166. 10 indexed citations
18.
Ámbrus, Árpád, et al.. (2003). Application of a system suitability test for quality assurance and performance optimisation of a gas chromatographic system for pesticide residue analysis. Journal of Chromatography A. 1027(1-2). 55–65. 17 indexed citations
19.
Ámbrus, Árpád. (2000). Within and between field variability of residue data and sampling implications. Food Additives & Contaminants. 17(7). 519–537. 43 indexed citations
20.
Holland, Patrick T., et al.. (1997). Pesticides Report 39. Optimum use of available residue data in the estimation of dietary intake of pesticides (Technical Report). Pure and Applied Chemistry. 69(6). 1373–1410. 14 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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