Edson Pindza

1.1k total citations · 1 hit paper
67 papers, 807 citations indexed

About

Edson Pindza is a scholar working on Modeling and Simulation, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Edson Pindza has authored 67 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Modeling and Simulation, 19 papers in Numerical Analysis and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Edson Pindza's work include Fractional Differential Equations Solutions (28 papers), Stochastic processes and financial applications (13 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). Edson Pindza is often cited by papers focused on Fractional Differential Equations Solutions (28 papers), Stochastic processes and financial applications (13 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). Edson Pindza collaborates with scholars based in South Africa, Nigeria and Türkiye. Edson Pindza's co-authors include Kolade M. Owolabi, Kolade M. Owolabi, Manal Alqhtani, Khaled M. Saad, Afeez Abidemi, Berat Karaağaç, Kailash C. Patidar, Abdon Atangana, Coenraad C.A. Labuschagne and Ravi P. Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.

In The Last Decade

Edson Pindza

55 papers receiving 763 citations

Hit Papers

Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edson Pindza South Africa 16 446 204 201 145 104 67 807
A.Q.M. Khaliq United States 29 874 2.0× 1.3k 6.2× 97 0.5× 328 2.3× 56 0.5× 137 2.1k
Sérgio Adriani David Brazil 16 205 0.5× 46 0.2× 41 0.2× 103 0.7× 28 0.3× 45 603
Mehdi Salimi Germany 18 382 0.9× 324 1.6× 126 0.6× 164 1.1× 41 0.4× 75 1.1k
Hemen Dutta India 21 525 1.2× 335 1.6× 223 1.1× 233 1.6× 113 1.1× 139 1.4k
Sanyang Liu China 19 192 0.4× 483 2.4× 167 0.8× 52 0.4× 130 1.3× 83 1.0k
Rohanin Ahmad Malaysia 7 174 0.4× 73 0.4× 221 1.1× 109 0.8× 29 0.3× 35 655
Bruno Antonio Pansera Italy 16 136 0.3× 61 0.3× 45 0.2× 95 0.7× 75 0.7× 54 749

Countries citing papers authored by Edson Pindza

Since Specialization
Citations

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

Fields of papers citing papers by Edson Pindza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edson Pindza

This figure shows the co-authorship network connecting the top 25 collaborators of Edson Pindza. A scholar is included among the top collaborators of Edson Pindza 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 Edson Pindza. Edson Pindza 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.
Owolabi, Kolade M., et al.. (2025). Resurgence in focus: Covid-19 dynamics and optimal control frameworks. PubMed. 9. 100200–100200.
3.
Pindza, Edson, et al.. (2025). Sentiment-driven cryptocurrency forecasting: analyzing LSTM, GRU, Bi-LSTM, and temporal attention model (TAM). Social Network Analysis and Mining. 15(1). 4 indexed citations
4.
Saad, Khaled M., Kolade M. Owolabi, Edson Pindza, & Waleed M. Hamanah. (2025). Simulating natural patterns via space-time accurate barycentric collocation methods for nonlinear PDEs. Computers & Mathematics with Applications. 199. 378–402.
5.
Owolabi, Kolade M., et al.. (2025). Turing patterns across geometries: A proven DSC-ETDRK4 solver from plane to sphere. Results in Applied Mathematics. 27. 100631–100631.
6.
Pindza, Edson, et al.. (2024). Optimizing Cryptocurrency Returns: A Quantitative Study on Factor-Based Investing. Mathematics. 12(9). 1351–1351. 1 indexed citations
7.
Pindza, Edson, et al.. (2024). Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting. SHILAP Revista de lepidopterología. 7(1). 2–2.
8.
Pindza, Edson, et al.. (2024). Neural Network for Valuing Bitcoin Options Under Jump-Diffusion and Market Sentiment Model. Computational Economics. 66(3). 2305–2342.
9.
Owolabi, Kolade M., Ravi P. Agarwal, Edson Pindza, Swanhild Bernstein, & M.S. Osman. (2023). Complex Turing patterns in chaotic dynamics of autocatalytic reactions with the Caputo fractional derivative. Neural Computing and Applications. 35(15). 11309–11335. 36 indexed citations
10.
Karaağaç, Berat, Kolade M. Owolabi, & Edson Pindza. (2023). A computational technique for the Caputo fractal-fractional diabetes mellitus model without genetic factors. International Journal of Dynamics and Control. 11(5). 2161–2178. 25 indexed citations
11.
Pindza, Edson, et al.. (2023). Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach. Fractal and Fractional. 7(2). 203–203. 80 indexed citations breakdown →
12.
Karaağaç, Berat, Alaattin Esen, Kolade M. Owolabi, & Edson Pindza. (2023). A Trigonometric Quintic B-Spline Basis Collocation Method for the KdV–Kawahara Equation. Numerical Analysis and Applications. 16(3). 216–228. 4 indexed citations
13.
Owolabi, Kolade M. & Edson Pindza. (2022). Adaptive techniques for solving chaotic system of parabolic-type. Scientific African. 19. e01490–e01490. 4 indexed citations
14.
Alqhtani, Manal, Kolade M. Owolabi, Khaled M. Saad, & Edson Pindza. (2022). Efficient numerical techniques for computing the Riesz fractional-order reaction-diffusion models arising in biology. Chaos Solitons & Fractals. 161. 112394–112394. 43 indexed citations
15.
Owolabi, Kolade M. & Edson Pindza. (2022). Spatiotemporal chaos in diffusive systems with the Riesz fractional order operator. Chinese Journal of Physics. 77. 2258–2275. 7 indexed citations
16.
Karaağaç, Berat, Kolade M. Owolabi, & Edson Pindza. (2022). Analysis and new simulations of fractional Noyes-Field model using Mittag-Leffler kernel. Scientific African. 17. e01384–e01384. 6 indexed citations
17.
Pindza, Edson. (2018). A Robust Spectral Method for Pricing of American Put Options on Zero-Coupon Bonds. East Asian Journal on Applied Mathematics. 8(1). 126–138. 2 indexed citations
18.
Owolabi, Kolade M. & Edson Pindza. (2018). Mathematical and computational studies of fractional reaction-diffusion system modelling predator-prey interactions. Journal of Numerical Mathematics. 0(0). 6 indexed citations
19.
Pindza, Edson, et al.. (2014). Robust spectral method for numerical valuation of european options under Merton's jump‐diffusion model. Numerical Methods for Partial Differential Equations. 30(4). 1169–1188. 10 indexed citations
20.
Pindza, Edson & Kailash C. Patidar. (2012). Spectral method for pricing options in illiquid markets. AIP conference proceedings. 1403–1406. 1 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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