Fasma Diele

718 citations
49 papers · 487 · h-index 14

Impact in

    • Numerical methods for differential equations
    • Differential Equations and Numerical Methods
    • Fractional Differential Equations Solutions
    • Mathematical Biology Tumor Growth

Papers in

Fasma Diele

45 papers receiving 443 citations

Peers

Fasma Diele
Comparison fields: 5 of 88
  • Numerical Analysis 175
  • Modeling and Simulation 89
  • Computational Theory and Mathematics 146
  • Computational Mathematics 4
  • Statistical and Nonlinear Physics 63
Replace Xin Lü with:
Xin Lü China
Stefania Ragni Italy
Xiaohua Ding China
Barnabás M. Garay Hungary
Hans‐Jürgen Schmeißer Germany
Adam Bobrowski Poland
Cătălin Trenchea United States
Mohammad Sajid Saudi Arabia
A. El Jai France
Jiang-Lun Wu United Kingdom
Fasma Diele relative to Xin Lü China Xin Lü's profile →
Citations per field
00.5×1.5×
Xin Lü · 1×
Citations per year

Countries citing papers authored by Fasma Diele

Since Specialization
Citations

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

Fields of papers citing papers by Fasma Diele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fasma Diele, 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 Fasma Diele Line = papers co-authored together Fasma Diele links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199855
2 200433
3 201028
4 199825
5 201824
6 201620
7 200818
8 202118
9 200316
10 201916
11 199815
12 201415
13 201914
14 201813
15 201912
16 200511
17 200411
18 201511
19 200410
20 201910

About Fasma Diele

Fasma Diele is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Ecology and Modeling and Simulation, having authored 49 papers that have together received 487 indexed citations. Recurring topics across this work include Numerical methods for differential equations (19 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Matrix Theory and Algorithms (13 papers), Differential Equations and Numerical Methods (6 papers), Animal Ecology and Behavior Studies (6 papers), Evolution and Genetic Dynamics (5 papers), Ecology and Vegetation Dynamics Studies (5 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Numerical Analysis (175 citations), Modeling and Simulation (89 citations), Computational Theory and Mathematics (146 citations), Computational Mathematics (4 citations) and Statistical and Nonlinear Physics (63 citations). Fasma Diele has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Carmela Marangi, Stefania Ragni, L. Lopez, Deborah Lacitignola, Ivonne Sgura, Moody T. Chu, Denise Aregba-Driollet, Roberto Natalini, Sergio Blanes and Tiziano Politi. Their work appears in journals such as Mathematics and Computers in Simulation, Journal of Computational and Applied Mathematics, Linear Algebra and its Applications, Mathematical Biosciences and Applied Numerical Mathematics.

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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