Bernd Hitzmann

4.8k total citations
232 papers, 3.5k citations indexed

About

Bernd Hitzmann is a scholar working on Molecular Biology, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Bernd Hitzmann has authored 232 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 70 papers in Analytical Chemistry and 47 papers in Biomedical Engineering. Recurrent topics in Bernd Hitzmann's work include Spectroscopy and Chemometric Analyses (69 papers), Viral Infectious Diseases and Gene Expression in Insects (61 papers) and Advanced Control Systems Optimization (28 papers). Bernd Hitzmann is often cited by papers focused on Spectroscopy and Chemometric Analyses (69 papers), Viral Infectious Diseases and Gene Expression in Insects (61 papers) and Advanced Control Systems Optimization (28 papers). Bernd Hitzmann collaborates with scholars based in Germany, Brazil and Bulgaria. Bernd Hitzmann's co-authors include Thomas Scheper, Viktoria Zettel, Dörte Solle, Jörg Hinrichs, Kenneth F. Reardon, Roland Ulber, K. Schügerl, Ursula Rinas, Sascha Beutel and Thomas Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Bernd Hitzmann

218 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernd Hitzmann Germany 31 1.5k 917 750 491 437 232 3.5k
Eugénio C. Ferreira Portugal 38 2.0k 1.4× 1.1k 1.2× 320 0.4× 260 0.5× 448 1.0× 245 4.9k
Alexey L. Pomerantsev Russia 30 823 0.6× 959 1.0× 1.9k 2.5× 547 1.1× 343 0.8× 102 3.4k
L.A. Sarabia Spain 33 439 0.3× 637 0.7× 1.7k 2.3× 732 1.5× 163 0.4× 167 3.5k
Christoph Herwig Austria 39 3.9k 2.7× 1.5k 1.6× 338 0.5× 221 0.5× 597 1.4× 241 6.0k
Mohammad Goodarzi Belgium 26 623 0.4× 516 0.6× 816 1.1× 259 0.5× 131 0.3× 81 2.3k
Lars Nørgaard Denmark 29 580 0.4× 933 1.0× 2.4k 3.2× 671 1.4× 195 0.4× 67 3.9k
Haiyan Fu China 34 1.3k 0.9× 1.1k 1.2× 1.0k 1.3× 466 0.9× 43 0.1× 287 4.5k
Maria Fernanda Pimentel Brazil 32 341 0.2× 1.0k 1.1× 1.9k 2.6× 269 0.5× 172 0.4× 128 3.2k
Yungang Zhang China 27 516 0.4× 431 0.5× 277 0.4× 150 0.3× 386 0.9× 143 2.6k
Oxana Ye. Rodionova Russia 29 764 0.5× 873 1.0× 1.7k 2.3× 521 1.1× 298 0.7× 96 3.0k

Countries citing papers authored by Bernd Hitzmann

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Hitzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Hitzmann

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Hitzmann. A scholar is included among the top collaborators of Bernd Hitzmann 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 Bernd Hitzmann. Bernd Hitzmann 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.
Scherf, Katharina Anne, et al.. (2025). Improved prediction of wheat baking quality by three novel approaches involving spectroscopic, rheological and analytical measurements and an optimized baking test. Journal of Food Measurement & Characterization. 19(3). 1673–1692. 3 indexed citations
2.
Hassouni, Khaoula El, et al.. (2023). Spectroscopy‐based prediction of 73 wheat quality parameters and insights for practical applications. Cereal Chemistry. 101(1). 144–165. 7 indexed citations
3.
Kohlus, Reinhard, et al.. (2023). Modeling and optimization of bakery production scheduling to minimize makespan and oven idle time. Scientific Reports. 13(1). 235–235. 5 indexed citations
4.
Zettel, Viktoria, et al.. (2023). Online Monitoring of Sourdough Fermentation Using a Gas Sensor Array with Multivariate Data Analysis. Sensors. 23(18). 7681–7681. 2 indexed citations
5.
Zettel, Viktoria, et al.. (2023). Influence of Non-Thermal Plasma Treatment on Structural Network Attributes of Wheat Flour and Respective Dough. Foods. 12(10). 2056–2056. 10 indexed citations
6.
Srivastava, Shubhangi, et al.. (2023). A Comparative Analysis of Partial Replacement of Yeast with CO2 Gas Hydrates as Leavening Agents in Baking of Wheat Bread. Processes. 11(3). 653–653. 6 indexed citations
7.
8.
Zettel, Viktoria, et al.. (2022). Rheological evaluation of wheat dough treated with ozone and ambient air during kneading and dough formation. International Journal of Food Science & Technology. 57(9). 6130–6142.
9.
Pedersen, Line Bjørnskov, et al.. (2022). Application of Non-Dominated Sorting Genetic Algorithm (NSGA-II) to Increase the Efficiency of Bakery Production: A Case Study. Processes. 10(8). 1623–1623. 10 indexed citations
10.
Rosell, Cristina M., et al.. (2021). Optimization of No-Wait Flowshop Scheduling Problem in Bakery Production with Modified PSO, NEH and SA. Processes. 9(11). 2044–2044. 13 indexed citations
11.
Hinrichs, Jörg, et al.. (2021). Establishing a novel procedure to detect deviations from standard milk processing by using online Raman spectroscopy. Food Control. 131. 108442–108442. 10 indexed citations
12.
Hitzmann, Bernd, et al.. (2021). Spectroscopic analysis of chia seeds. Scientific Reports. 11(1). 9253–9253. 4 indexed citations
13.
Hinrichs, Jörg, et al.. (2020). Parameter and state estimation of backers yeast cultivation with a gas sensor array and unscented Kalman filter. Engineering in Life Sciences. 21(3-4). 170–180. 10 indexed citations
14.
Hitzmann, Bernd, et al.. (2017). Artificial neural network for bioprocess monitoring based on fluorescence measurements: Training without offline measurements. Engineering in Life Sciences. 17(8). 874–880. 12 indexed citations
15.
Roeva, Olympia, et al.. (2015). Functional State Modelling of Cultivation Processes: Dissolved Oxygen Limitation State. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Durek, Julia, Volker Heinz, Bernd Hitzmann, et al.. (2011). Minimal processing in automatisierten Prozessketten der Fleischverarbeitung : eine Fallstudie am Beispiel der Feinzerlegung von Schweinefleisch (Schinken). ˜Die œFleischwirtschaft. 91(4). 102–105. 1 indexed citations
17.
Roeva, Olympia, et al.. (2008). A genetic algorithms based approach for identification of Escherichia coli fed-batch fermentation. SHILAP Revista de lepidopterología. 14 indexed citations
18.
Roeva, Olympia, et al.. (2007). Multiple model approach to modelling of Escherichia coli fed-batch cultivation extracellular production of bacterial phytase. Electronic Journal of Biotechnology. 10(4). 592–603. 17 indexed citations
19.
Hitzmann, Bernd & Young‐Lok Cha. (2004). Ultrasonic Measurements and its Evaluation for the Monitoring of Saccharomyces cerevisiae Cultivation. SHILAP Revista de lepidopterología. 6 indexed citations
20.
Pencheva, Tania, et al.. (2004). Functional State Modelling of Saccharomyces cerevisiae Cultivations. SHILAP Revista de lepidopterología. 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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