Jeffrey J. DaCunha

524 total citations
8 papers, 400 citations indexed

About

Jeffrey J. DaCunha is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Jeffrey J. DaCunha has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Computational Theory and Mathematics and 4 papers in Applied Mathematics. Recurrent topics in Jeffrey J. DaCunha's work include Nonlinear Differential Equations Analysis (4 papers), Stability and Controllability of Differential Equations (3 papers) and Numerical methods for differential equations (2 papers). Jeffrey J. DaCunha is often cited by papers focused on Nonlinear Differential Equations Analysis (4 papers), Stability and Controllability of Differential Equations (3 papers) and Numerical methods for differential equations (2 papers). Jeffrey J. DaCunha collaborates with scholars based in United States. Jeffrey J. DaCunha's co-authors include John M. Davis, Ian Gravagne and Robert J. Marks and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Journal of Computational and Applied Mathematics.

In The Last Decade

Jeffrey J. DaCunha

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey J. DaCunha United States 8 221 193 104 59 57 8 400
Ewa Pawłuszewicz Poland 13 340 1.5× 146 0.8× 106 1.0× 102 1.7× 39 0.7× 68 512
Sadashiv G. Deo India 9 119 0.5× 161 0.8× 72 0.7× 39 0.7× 33 0.6× 19 296
George R. Spalding United States 6 115 0.5× 169 0.9× 96 0.9× 36 0.6× 41 0.7× 11 342
Valentina Taddei Italy 11 159 0.7× 221 1.1× 44 0.4× 22 0.4× 83 1.5× 41 315
Massimo Gobbino Italy 14 271 1.2× 260 1.3× 56 0.5× 26 0.4× 294 5.2× 65 580
Jiang Wei China 15 262 1.2× 249 1.3× 140 1.3× 35 0.6× 38 0.7× 43 590
В. И. Слынько Ukraine 10 225 1.0× 135 0.7× 69 0.7× 32 0.5× 26 0.5× 90 402
H. W. Knobloch Germany 11 166 0.8× 123 0.6× 149 1.4× 51 0.9× 117 2.1× 24 438
Yazhou Tian China 12 323 1.5× 132 0.7× 58 0.6× 22 0.4× 33 0.6× 31 470
Małgorzata Wyrwas Poland 13 313 1.4× 129 0.7× 119 1.1× 85 1.4× 37 0.6× 68 547

Countries citing papers authored by Jeffrey J. DaCunha

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. DaCunha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. DaCunha. 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 Jeffrey J. DaCunha. The network helps show where Jeffrey J. DaCunha may publish in the future.

Co-authorship network of co-authors of Jeffrey J. DaCunha

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. DaCunha. A scholar is included among the top collaborators of Jeffrey J. DaCunha 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 Jeffrey J. DaCunha. Jeffrey J. DaCunha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
DaCunha, Jeffrey J. & John M. Davis. (2011). A unified Floquet theory for discrete, continuous, and hybrid periodic linear systems. Journal of Differential Equations. 251(11). 2987–3027. 35 indexed citations
2.
Gravagne, Ian, John M. Davis, & Jeffrey J. DaCunha. (2009). A Unified Approach to High‐Gain Adaptive Controllers. Abstract and Applied Analysis. 2009(1). 15 indexed citations
3.
Marks, Robert J., Ian Gravagne, John M. Davis, & Jeffrey J. DaCunha. (2006). Nonregressivity in switched linear circuits and mechanical systems. Mathematical and Computer Modelling. 43(11-12). 1383–1392. 48 indexed citations
4.
DaCunha, Jeffrey J.. (2006). Instability results for slowly time varying linear dynamic systems on time scales. Journal of Mathematical Analysis and Applications. 328(2). 1278–1289. 18 indexed citations
5.
DaCunha, Jeffrey J.. (2005). Transition matrix and generalized matrix exponential via the Peano-Baker series. The Journal of Difference Equations and Applications. 11(15). 1245–1264. 58 indexed citations
6.
DaCunha, Jeffrey J., et al.. (2004). Existence results for singular three point boundary value problems on time scales. Journal of Mathematical Analysis and Applications. 295(2). 378–391. 50 indexed citations
7.
DaCunha, Jeffrey J.. (2004). Stability for time varying linear dynamic systems on time scales. Journal of Computational and Applied Mathematics. 176(2). 381–410. 141 indexed citations
8.
Gravagne, Ian, John M. Davis, Jeffrey J. DaCunha, & Robert J. Marks. (2004). Bandwidth reduction for controller area networks using adaptive sampling. 9. 5250–5255. 35 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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