Dániel András Drexler

1.3k total citations
116 papers, 951 citations indexed

About

Dániel András Drexler is a scholar working on Modeling and Simulation, Molecular Biology and Oncology. According to data from OpenAlex, Dániel András Drexler has authored 116 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Modeling and Simulation, 41 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Dániel András Drexler's work include Mathematical Biology Tumor Growth (60 papers), Angiogenesis and VEGF in Cancer (18 papers) and Gene Regulatory Network Analysis (18 papers). Dániel András Drexler is often cited by papers focused on Mathematical Biology Tumor Growth (60 papers), Angiogenesis and VEGF in Cancer (18 papers) and Gene Regulatory Network Analysis (18 papers). Dániel András Drexler collaborates with scholars based in Hungary, Austria and Romania. Dániel András Drexler's co-authors include Levente Kovács, Johanna Sápi, István Harmati, Zoltàn Sápi, Tamás Ferenci, Imre J. Rudas, Pál Kocsis, Tamás Haidegger, András Füredi and Anna Lovrics and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Dániel András Drexler

103 papers receiving 944 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dániel András Drexler Hungary 16 453 323 200 160 127 116 951
Marco Antoniotti Italy 17 60 0.1× 482 1.5× 79 0.4× 211 1.3× 42 0.3× 78 888
Eric Bullinger Germany 16 45 0.1× 624 1.9× 95 0.5× 30 0.2× 224 1.8× 66 1.1k
Leili Shahriyari United States 16 176 0.4× 213 0.7× 245 1.2× 134 0.8× 3 0.0× 33 811
Vijay Mohan India 16 37 0.1× 181 0.6× 36 0.2× 32 0.2× 142 1.1× 51 664
Fengjie Li China 12 21 0.0× 147 0.5× 31 0.2× 77 0.5× 82 0.6× 76 511
Jelena Pješivac–Grbović United States 8 184 0.4× 105 0.3× 98 0.5× 44 0.3× 5 0.0× 9 535
Kensuke Tanaka Japan 14 16 0.0× 108 0.3× 96 0.5× 34 0.2× 45 0.4× 80 749
Mengjiao Cai China 12 17 0.0× 244 0.8× 97 0.5× 154 1.0× 16 0.1× 21 1.1k
Yufan Zhao United States 18 18 0.0× 255 0.8× 674 3.4× 95 0.6× 17 0.1× 38 1.4k
José A. Seoane Spain 21 11 0.0× 839 2.6× 396 2.0× 372 2.3× 10 0.1× 55 1.6k

Countries citing papers authored by Dániel András Drexler

Since Specialization
Citations

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

Fields of papers citing papers by Dániel András Drexler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dániel András Drexler. 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 Dániel András Drexler. The network helps show where Dániel András Drexler may publish in the future.

Co-authorship network of co-authors of Dániel András Drexler

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel András Drexler. A scholar is included among the top collaborators of Dániel András Drexler 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 Dániel András Drexler. Dániel András Drexler 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.
Kovács, Levente, et al.. (2025). Mixed-effects Model Fitting Based on in vivo Data from Animal Experiments. Acta Polytechnica Hungarica. 22(10). 47–64. 1 indexed citations
2.
Füredi, András, et al.. (2025). Tumor Model Fitting using Markov Chain Monte Carlo Method. Acta Polytechnica Hungarica. 22(12). 183–196.
3.
Kovács, Levente, et al.. (2025). Cost-Effectiveness Analysis of Optimized Chemotherapy Treatments. 501–508.
4.
Drexler, Dániel András, et al.. (2025). Modeling the Error of Caliper Measurements in Animal Experiments. IEEE Access. 13. 54836–54852. 1 indexed citations
5.
Drexler, Dániel András, et al.. (2024). Stability analysis of the singular points and Hopf bifurcations of a tumor growth control model. Mathematical Methods in the Applied Sciences. 47(7). 5677–5691. 1 indexed citations
6.
Kovács, Levente, et al.. (2024). Detecting critical supervision intervals during in silico chemotherapy treatments. Acta Polytechnica Hungarica. 21(9). 247–261. 3 indexed citations
7.
Drexler, Dániel András, et al.. (2024). Personalized therapy using drug delivery devices. IFAC-PapersOnLine. 58(24). 550–555. 2 indexed citations
8.
Kovács, Levente, et al.. (2024). Artificial Neural Networks Based Cell Counting Techniques Using Microscopic Images: A Review. 327–332. 4 indexed citations
9.
Kovács, Levente, et al.. (2024). Anomaly Detection of Time Series Containing Tumor Volumes. 67–72.
10.
Kovács, Levente, et al.. (2024). Multi-Objective Chemotherapy Optimization Using NSGA-II and Epsilon-Constraint Method. 179–184. 2 indexed citations
11.
Drexler, Dániel András, Simona Panunzi, András Füredi, et al.. (2024). Modeling the development of drug resistance during chemotherapy treatment. 4804–4810.
12.
Zrubka, Zsombor, et al.. (2023). Exploring a Markov Model Framework to Quantify Societal Preferences, Concerning Age and Severity of Disease, for Health Resource Allocation. Acta Polytechnica Hungarica. 20(8). 175–195. 1 indexed citations
14.
Drexler, Dániel András, et al.. (2023). Model predictive fuzzy control in chemotherapy optimization. 6 indexed citations
15.
Kovács, Levente, et al.. (2023). Population-Based Chemotherapy Optimization Using Genetic Algorithm. 7 indexed citations
16.
17.
Drexler, Dániel András, Tamás Ferenci, Anna Lovrics, & Levente Kovács. (2019). Tumor dynamics modeling based on formalreaction kinetics. Acta Polytechnica Hungarica. 16(10). 31–44. 42 indexed citations
18.
Drexler, Dániel András, et al.. (2019). Handover Process of Autonomous Vehicles – Technology and Application Challenges. Acta Polytechnica Hungarica. 16(9). 235–256. 22 indexed citations
19.
Drexler, Dániel András, Tamás Ferenci, Anna Lovrics, & Levente Kovács. (2019). Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling. 27–32. 3 indexed citations
20.
Sápi, Johanna, et al.. (2015). Tumor Volume Estimation and Quasi-Continuous Administration for Most Effective Bevacizumab Therapy. PLoS ONE. 10(11). e0142190–e0142190. 119 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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