Urszula Ledzewicz

4.2k citations
118 papers · 2.2k indexed · h-index 23

Urszula Ledzewicz

113 papers receiving 2.0k citations

Peers

Urszula Ledzewicz
Comparison fields: 5 of 115
  • Modeling and Simulation 1.5k
  • Numerical Analysis 184
  • Cancer Research 343
  • Oncology 511
  • Cell Biology 289
Replace Heinz Schättler with:
Heinz Schättler United States
Andrzej Świerniak Poland
Ami Radunskaya United States
Willi Jäger Germany
L. G. de Pillis United States
Alberto Gandolfi Italy
Miguel A. Herrero Spain
Yongjin Li China
Xiaoming Zheng United States
Hermann B. Frieboes United States
Urszula Ledzewicz relative to Heinz Schättler United States Heinz Schättler's profile →
Citations per field
00.5×1.5×
Heinz Schättler · 1×
Citations per year

Countries citing papers authored by Urszula Ledzewicz

Since Specialization
Citations

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

Fields of papers citing papers by Urszula Ledzewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Urszula Ledzewicz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Urszula Ledzewicz Line = papers co-authored together Urszula Ledzewicz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20232
5 202014
6 201617
7 20168
8 201575
9 20141
10 20121
11 201164
12
Singular controls and chattering arcs in optimal control problems arising in biomedicine
200913
13 200918
14
Effect of the objective on optimal controls for a system describing tumor anti-angiogenesis
20081
15
Singular controls in systems describing tumor anti-angiogenesis
20061
16
Finite dimensional models of drug resistant and phase specific cancer chemotherapy
20044
17
Application of Control Theory in Modelling Cancer Chemotherapy
20042
18
OPTIMAL CONTROL FOR A CLASS OF COMPARTMENTAL MODELS IN CANCER CHEMOTHERAPY
200391
19 19883
20 19876

About Urszula Ledzewicz

Urszula Ledzewicz is a scholar working on Modeling and Simulation, Numerical Analysis and Computational Theory and Mathematics, having authored 118 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (79 papers), Angiogenesis and VEGF in Cancer (20 papers), Gene Regulatory Network Analysis (19 papers), Microtubule and mitosis dynamics (17 papers), Cancer Cells and Metastasis (16 papers), Optimization and Variational Analysis (13 papers), Chronic Myeloid Leukemia Treatments (12 papers) and Differential Equations and Numerical Methods (11 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Numerical Analysis (184 citations) and Cancer Research (343 citations). Urszula Ledzewicz has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Heinz Schättler, Helmut Maurer, Alberto d’Onofrio, Andrzej Świerniak, Stanisław Walczak, Helen Moore, Avner Friedman, H. Maurer, Lewis C. Strauss and Maria do Rosário de Pinho. Their work appears in journals such as Discrete and Continuous Dynamical Systems - B, Journal of Optimization Theory and Applications, Mathematical Biosciences & Engineering, Nonlinear Analysis and Journal of Mathematical Analysis and Applications.

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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