Jayme Vaz

46 papers receiving 612 citations

Peers

Jayme Vaz
Comparison fields: 5 of 61
  • Modeling and Simulation 243
  • Applied Mathematics 366
  • Numerical Analysis 94
  • Statistical and Nonlinear Physics 202
  • Algebra and Number Theory 46
Replace Adri B. Olde Daalhuis with:
Adri B. Olde Daalhuis United Kingdom
José L. López Spain
T. M. Dunster United States
Lee-Peng Teo Malaysia
Harold Exton United Kingdom
K. Górska Poland
C. J. Howls United Kingdom
S. Lorenzutta Italy
Natig M. Atakishiyev Mexico
B. L. J. Braaksma Netherlands
Jayme Vaz relative to Adri B. Olde Daalhuis United Kingdom Adri B. Olde Daalhuis's profile →
Citations per field
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Adri B. Olde Daalhuis · 1×
Citations per year

Countries citing papers authored by Jayme Vaz

Since Specialization
Citations

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

Fields of papers citing papers by Jayme Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jayme Vaz, 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 Jayme Vaz Line = papers co-authored together Jayme Vaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201197
2 201677
3 201057
4 200937
5 201133
6 201432
7 199329
8 201824
9 199322
10 199619
11
Theorem for Series in Three-Parameter Mittag-Leffler Function
201018
12 200518
13 201514
14 200312
15 200711
16 199311
17 200611
18 199711
19 20179
20 19959

About Jayme Vaz

Jayme Vaz is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics, Modeling and Simulation, Atomic and Molecular Physics, and Optics and Numerical Analysis, having authored 48 papers that have together received 648 indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (29 papers), Fractional Differential Equations Solutions (13 papers), Noncommutative and Quantum Gravity Theories (10 papers), Advanced Topics in Algebra (8 papers), Iterative Methods for Nonlinear Equations (7 papers), Nonlinear Differential Equations Analysis (5 papers), Quantum Mechanics and Non-Hermitian Physics (5 papers) and Relativity and Gravitational Theory (4 papers). The work is most often cited by research in Modeling and Simulation (243 citations), Applied Mathematics (366 citations), Numerical Analysis (94 citations), Statistical and Nonlinear Physics (202 citations) and Algebra and Number Theory (46 citations). Jayme Vaz has collaborated with scholars based in Brazil, Italy and Canada. Frequent co-authors include E. Capelas de Oliveira, Roldão da Rocha, Francesco Mainardi, Waldyr A. Rodrigues, Rubens de Figueiredo Camargo, Erasmo Recami, Giovanni Salesi, Pertti Lounesto, Stephen Mann and Nikolai Leonenko. Their work appears in journals such as Physics Letters B, International Journal of Geometric Methods in Modern Physics, Fractional Calculus and Applied Analysis, Communications in Nonlinear Science and Numerical Simulation and Meccanica.

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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