Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator
2019277 citationsDumitru Bǎleanu, Amin Jajarmi et al.Chaos An Interdisciplinary Journal of Nonlinear Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Dorota Mozyrska
Since
Specialization
Citations
This map shows the geographic impact of Dorota Mozyrska'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 Dorota Mozyrska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorota Mozyrska more than expected).
This network shows the impact of papers produced by Dorota Mozyrska. 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 Dorota Mozyrska. The network helps show where Dorota Mozyrska may publish in the future.
Co-authorship network of co-authors of Dorota Mozyrska
This figure shows the co-authorship network connecting the top 25 collaborators of Dorota Mozyrska.
A scholar is included among the top collaborators of Dorota Mozyrska 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 Dorota Mozyrska. Dorota Mozyrska is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bǎleanu, Dumitru, Amin Jajarmi, Samaneh Sadat Sajjadi, & Dorota Mozyrska. (2019). A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(8). 83127–83127.277 indexed citations breakdown →
Girejko, Ewa & Dorota Mozyrska. (2013). Cone Solutions of Multi-Order Fractional Difference Systems. Control and Cybernetics. 42(2). 419–429.
9.
Mozyrska, Dorota, et al.. (2011). Approximation of spectroradiometric data by fractional model. PRZEGLĄD ELEKTROTECHNICZNY. 255–257.4 indexed citations
Bastos, Nuno R. O., Dorota Mozyrska, & Delfim F. M. Torres. (2010). Fractional Derivatives and Integrals on Time Scales via the Inverse Generalized Laplace Transform. arXiv (Cornell University). 11. 1–9.47 indexed citations
15.
Mozyrska, Dorota, et al.. (2009). Dokładność wyznaczania wartości pośrednich w zmierzonym rozkładzie egzytancji widmowej promieniowania optycznego a przyjęta metoda interpolacji i aproksymacji. PRZEGLĄD ELEKTROTECHNICZNY. 253–256.1 indexed citations
16.
Mozyrska, Dorota & Delfim F. M. Torres. (2009). The Natural Logarithm on Time Scales. arXiv (Cornell University). 7(1). 41–48.12 indexed citations
17.
Mozyrska, Dorota & Ewa Pawłuszewicz. (2009). Hermite’s equations on time scales. Applied Mathematics Letters. 22(8). 1217–1219.6 indexed citations
18.
Mozyrska, Dorota & Delfim F. M. Torres. (2008). Diamond-alpha Polynomial Series on Time Scales ∗. 5. 92–101.5 indexed citations
19.
Mozyrska, Dorota, et al.. (2008). Functional series on time scales. 2. 94–105.7 indexed citations
20.
Mozyrska, Dorota & Zbigniew Bartosiewicz. (2006). Dualities for linear control differential systems with infinite matrices. Control and Cybernetics. 35(4). 887–904.8 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.