József Baranyi

9.6k total citations · 2 hit papers
99 papers, 7.3k citations indexed

About

József Baranyi is a scholar working on Biotechnology, Food Science and Molecular Biology. According to data from OpenAlex, József Baranyi has authored 99 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Biotechnology, 48 papers in Food Science and 20 papers in Molecular Biology. Recurrent topics in József Baranyi's work include Listeria monocytogenes in Food Safety (68 papers), Microbial Inactivation Methods (32 papers) and Essential Oils and Antimicrobial Activity (17 papers). József Baranyi is often cited by papers focused on Listeria monocytogenes in Food Safety (68 papers), Microbial Inactivation Methods (32 papers) and Essential Oils and Antimicrobial Activity (17 papers). József Baranyi collaborates with scholars based in United Kingdom, Hungary and Australia. József Baranyi's co-authors include T.A. Roberts, Carmen Pin, T Ross, C. Patrick McClure, Mark L. Tamplin, Aline Métris, Yvan Le Marc, Michael W. Peck, S. M. George and TA McMeekin and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Applied Catalysis B: Environmental.

In The Last Decade

József Baranyi

99 papers receiving 7.0k citations

Hit Papers

A dynamic approach to predicting bacterial growth in food 1994 2026 2004 2015 1994 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
József Baranyi United Kingdom 37 4.5k 3.4k 1.4k 1.3k 720 99 7.3k
T Ross Australia 58 5.2k 1.1× 4.5k 1.3× 1.8k 1.3× 1.7k 1.3× 886 1.2× 252 10.4k
Robert L. Buchanan United States 50 4.7k 1.1× 4.5k 1.3× 1.4k 1.0× 921 0.7× 1.4k 1.9× 210 8.9k
T.A. Roberts United Kingdom 33 4.1k 0.9× 3.3k 1.0× 1.0k 0.7× 1.6k 1.3× 632 0.9× 95 6.6k
Jeffrey M. Farber Canada 46 5.0k 1.1× 5.1k 1.5× 1.1k 0.8× 625 0.5× 726 1.0× 137 9.0k
Johan Debevere Belgium 58 3.6k 0.8× 4.8k 1.4× 1.7k 1.2× 2.0k 1.6× 2.7k 3.7× 213 10.7k
John N. Sofos United States 55 5.1k 1.1× 6.8k 2.0× 1.7k 1.2× 3.1k 2.4× 774 1.1× 312 10.6k
S. Condón Spain 48 4.7k 1.0× 3.2k 0.9× 983 0.7× 643 0.5× 822 1.1× 156 6.8k
Annemie Geeraerd Belgium 41 3.1k 0.7× 2.4k 0.7× 930 0.7× 678 0.5× 2.0k 2.8× 217 6.7k
Daniel Y.C. Fung United States 37 1.7k 0.4× 2.7k 0.8× 1.3k 0.9× 733 0.6× 703 1.0× 250 5.0k
M.H. Zwietering Netherlands 54 5.8k 1.3× 6.5k 1.9× 3.4k 2.4× 1.5k 1.2× 1.2k 1.7× 276 13.4k

Countries citing papers authored by József Baranyi

Since Specialization
Citations

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

Fields of papers citing papers by József Baranyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of József Baranyi

This figure shows the co-authorship network connecting the top 25 collaborators of József Baranyi. A scholar is included among the top collaborators of József Baranyi 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 József Baranyi. József Baranyi 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.
Baranyi, József, et al.. (2025). Variability of growth parameter estimates - The role of rescaling and reparametrization. Food Microbiology. 128. 104726–104726. 1 indexed citations
2.
Baranyi, József, et al.. (2023). Estimating the optimal efflux inhibitor concentration of carvacrol as a function of the bacterial physiological state. Frontiers in Microbiology. 14. 1073798–1073798. 3 indexed citations
3.
Müller, Katalin Eszter, et al.. (2022). A computational approach to nutrition science reveals the dynamics of the protein content of human milk. Innovative Food Science & Emerging Technologies. 82. 103167–103167. 1 indexed citations
4.
Marc, Yvan Le, et al.. (2021). A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato. International Journal of Food Microbiology. 349. 109241–109241. 15 indexed citations
5.
Métris, Aline, Padhmanand Sudhakar, Dávid Fazekas, et al.. (2017). SalmoNet, an integrated network of ten Salmonella enterica strains reveals common and distinct pathways to host adaptation. npj Systems Biology and Applications. 3(1). 31–31. 21 indexed citations
6.
George, S. M., Aline Métris, & József Baranyi. (2015). Integrated Kinetic and Probabilistic Modeling of the Growth Potential of Bacterial Populations. Applied and Environmental Microbiology. 81(9). 3228–3234. 4 indexed citations
7.
Métris, Aline, et al.. (2014). Metabolic Shift of Escherichia coli under Salt Stress in the Presence of Glycine Betaine. Applied and Environmental Microbiology. 80(15). 4745–4756. 51 indexed citations
8.
Rolfe, Matthew D., Christopher J. Rice, Sacha Lucchini, et al.. (2011). Lag Phase Is a Distinct Growth Phase That Prepares Bacteria for Exponential Growth and Involves Transient Metal Accumulation. Journal of Bacteriology. 194(3). 686–701. 499 indexed citations breakdown →
9.
Marc, Yvan Le, et al.. (2008). Modelling the growth of Clostridium perfringens during the cooling of bulk meat. International Journal of Food Microbiology. 128(1). 41–50. 37 indexed citations
10.
Guerzoni, Maria Elisabetta, et al.. (2008). Effect of capric, lauric and α-linolenic acids on the division time distributions of single cells of Staphylococcus aureus. International Journal of Food Microbiology. 128(1). 122–128. 30 indexed citations
11.
Métris, Aline, S. M. George, B.M. Mackey, & József Baranyi. (2008). Modeling the Variability of Single-Cell Lag Times for Listeria innocua Populations after Sublethal and Lethal Heat Treatments. Applied and Environmental Microbiology. 74(22). 6949–6955. 39 indexed citations
12.
Pin, Carmen, Mark Reuter, Bruce M. Pearson, et al.. (2006). Comparison of different approaches for comparative genetic analysis using microarray hybridization. Applied Microbiology and Biotechnology. 72(4). 852–859. 11 indexed citations
14.
Kutalik, Zoltán, M. Razaz, Anders Elfwing, András Ballagi, & József Baranyi. (2005). Stochastic modelling of individual cell growth using flow chamber microscopy images. International Journal of Food Microbiology. 105(2). 177–190. 37 indexed citations
15.
Baranyi, József, Mark L. Tamplin, & T Ross. (2004). The ComBase initiative. Microbiology Australia. 25(3). 32–33. 1 indexed citations
16.
Masana, Marcelo & József Baranyi. (2000). Growth/no growth interface of Brochothrix thermosphacta as a function of pH and water activity. Food Microbiology. 17(5). 485–493. 48 indexed citations
17.
Bovill, Richard, et al.. (2000). Predictions of growth for Listeria monocytogenes and Salmonella during fluctuating temperature. International Journal of Food Microbiology. 59(3). 157–165. 76 indexed citations
18.
Baranyi, József, T Ross, TA McMeekin, & T.A. Roberts. (1996). Effects of parameterization on the performance of empirical models used in `predictive microbiology'. Food Microbiology. 13(1). 83–91. 112 indexed citations
19.
Baranyi, József & T.A. Roberts. (1995). Mathematics of predictive food microbiology. International Journal of Food Microbiology. 26(2). 199–218. 344 indexed citations
20.
Gibson, Angela M., József Baranyi, John I. Pitt, M.J. Eyles, & T.A. Roberts. (1994). Predicting fungal growth: the effect of water activity on Aspergillus flavus and related species. International Journal of Food Microbiology. 23(3-4). 419–431. 186 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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