M. Federson

1.0k total citations
54 papers, 679 citations indexed

About

M. Federson is a scholar working on Applied Mathematics, Control and Systems Engineering and Numerical Analysis. According to data from OpenAlex, M. Federson has authored 54 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Applied Mathematics, 28 papers in Control and Systems Engineering and 23 papers in Numerical Analysis. Recurrent topics in M. Federson's work include Nonlinear Differential Equations Analysis (46 papers), Stability and Controllability of Differential Equations (28 papers) and Differential Equations and Numerical Methods (13 papers). M. Federson is often cited by papers focused on Nonlinear Differential Equations Analysis (46 papers), Stability and Controllability of Differential Equations (28 papers) and Differential Equations and Numerical Methods (13 papers). M. Federson collaborates with scholars based in Brazil, Spain and Colombia. M. Federson's co-authors include Everaldo M. Bonotto, Jaqueline G. Mesquita, Antonín Slavík, Štefan Schwabik, Plácido Táboas, Martin Böhner, Rodrigo López Pouso, Jean Mawhin, Carlos Gutiérrez and Daniel C. Biles and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation and Journal of Differential Equations.

In The Last Decade

M. Federson

50 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Federson Brazil 15 545 324 227 181 115 54 679
Antonín Slavík Czechia 14 412 0.8× 197 0.6× 162 0.7× 148 0.8× 90 0.8× 43 556
Bıllûr Kaymakçalan Türkiye 15 756 1.4× 242 0.7× 258 1.1× 270 1.5× 172 1.5× 46 858
Jaqueline G. Mesquita Brazil 12 374 0.7× 231 0.7× 138 0.6× 140 0.8× 75 0.7× 43 444
Mihály Pituk Hungary 16 494 0.9× 204 0.6× 303 1.3× 109 0.6× 96 0.8× 63 701
Hui-Sheng Ding China 18 493 0.9× 228 0.7× 172 0.8× 152 0.8× 285 2.5× 66 727
M. Benchohra United States 8 904 1.7× 413 1.3× 351 1.5× 493 2.7× 106 0.9× 17 997
Milan Medveď Slovakia 15 556 1.0× 168 0.5× 228 1.0× 456 2.5× 67 0.6× 57 738
George L. Karakostas Greece 15 671 1.2× 129 0.4× 324 1.4× 151 0.8× 131 1.1× 48 776
Leonid Berezansky Israel 12 295 0.5× 140 0.4× 217 1.0× 112 0.6× 71 0.6× 37 555
Hong‐Rui Sun China 15 639 1.2× 159 0.5× 290 1.3× 227 1.3× 81 0.7× 57 687

Countries citing papers authored by M. Federson

Since Specialization
Citations

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

Fields of papers citing papers by M. Federson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Federson

This figure shows the co-authorship network connecting the top 25 collaborators of M. Federson. A scholar is included among the top collaborators of M. Federson 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 M. Federson. M. Federson 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.
Bonotto, Everaldo M., et al.. (2024). Stability for generalized stochastic equations. Stochastic Processes and their Applications. 173. 104358–104358.
2.
Federson, M., et al.. (2023). Oscillatory solutions of differential equations with several discrete delays and generalized ODEs. European Journal of Mathematics. 9(2). 1 indexed citations
3.
Bonotto, Everaldo M., et al.. (2022). Boundary Value Problems for Generalized ODEs. Journal of Geometric Analysis. 33(1).
4.
Bonotto, Everaldo M., et al.. (2021). Recursive properties of generalized ordinary differential equations and applications. Journal of Differential Equations. 303. 123–155.
5.
Federson, M., et al.. (2021). Converse Lyapunov theorems for measure functional differential equations. Journal of Differential Equations. 286. 1–46. 3 indexed citations
6.
Federson, M., et al.. (2019). Lyapunov stability for measure differential equations and dynamic equations on time scales. Journal of Differential Equations. 267(7). 4192–4223. 19 indexed citations
7.
Federson, M., et al.. (2017). Boundedness of solutions of measure differential equations and dynamic equations on time scales. Journal of Differential Equations. 263(1). 26–56. 12 indexed citations
8.
Federson, M., et al.. (2015). Lyapunov theorems for measure functional differential equations via Kurzweil‐equations. Mathematische Nachrichten. 288(13). 1487–1511. 7 indexed citations
9.
Biles, Daniel C., M. Federson, & Rodrigo López Pouso. (2014). A Survey of Recent Results for the Generalizations of Ordinary Differential Equations. Abstract and Applied Analysis. 2014. 1–9. 4 indexed citations
10.
Federson, M. & Jaqueline G. Mesquita. (2013). Non-periodic averaging principles for measure functional differential equations and functional dynamic equations on time scales involving impulses. Journal of Differential Equations. 255(10). 3098–3126. 11 indexed citations
11.
Bonotto, Everaldo M., et al.. (2012). Stability of functional differential equations with variable impulsive perturbations via generalized ordinary differential equations. Bulletin des Sciences Mathématiques. 137(2). 189–214. 20 indexed citations
12.
Bonotto, Everaldo M., et al.. (2011). Discontinuous local semiflows for Kurzweil equations leading to LaSalle's invariance principle for differential systems with impulses at variable times. Journal of Differential Equations. 250(7). 2969–3001. 26 indexed citations
13.
Federson, M. & Jaqueline G. Mesquita. (2011). Averaging for retarded functional differential equations. Journal of Mathematical Analysis and Applications. 382(1). 77–85. 6 indexed citations
14.
Federson, M., Jaqueline G. Mesquita, & Antonín Slavík. (2011). Measure functional differential equations and functional dynamic equations on time scales. Journal of Differential Equations. 252(6). 3816–3847. 88 indexed citations
15.
Bonotto, Everaldo M. & M. Federson. (2008). Limit sets and the Poincaré–Bendixson Theorem in impulsive semidynamical systems. Journal of Differential Equations. 244(9). 2334–2349. 53 indexed citations
16.
Federson, M., et al.. (2006). Oscillation by impulses for a second-order delay differential equation. Computers & Mathematics with Applications. 52(6-7). 819–828. 11 indexed citations
17.
Bonotto, Everaldo M. & M. Federson. (2006). Topological conjugation and asymptotic stability in impulsive semidynamical systems. Journal of Mathematical Analysis and Applications. 326(2). 869–881. 38 indexed citations
18.
Federson, M., et al.. (2005). Existence and impulsive stability for second order retarded differential equations. Applied Mathematics and Computation. 177(1). 44–62. 14 indexed citations
19.
Federson, M. & Plácido Táboas. (2003). Topological dynamics of retarded functional differential equations. Journal of Differential Equations. 195(2). 313–331. 14 indexed citations
20.
Federson, M., et al.. (2001). Linear Volterra-Stieltjes integral equations in the sense of the Kurzweil-Henstock integral. Archivum Mathematicum. 37(4). 307–328. 6 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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