Byron A. Jacobs

464 total citations
29 papers, 329 citations indexed

About

Byron A. Jacobs is a scholar working on Modeling and Simulation, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Byron A. Jacobs has authored 29 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Modeling and Simulation, 13 papers in Numerical Analysis and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Byron A. Jacobs's work include Fractional Differential Equations Solutions (16 papers), Numerical methods for differential equations (8 papers) and Differential Equations and Numerical Methods (5 papers). Byron A. Jacobs is often cited by papers focused on Fractional Differential Equations Solutions (16 papers), Numerical methods for differential equations (8 papers) and Differential Equations and Numerical Methods (5 papers). Byron A. Jacobs collaborates with scholars based in South Africa, Australia and Denmark. Byron A. Jacobs's co-authors include E. Momoniat, C. Harley, B. I. Henry, Christopher N. Angstmann, Anna V. McGann, Turgay Çelik, Oluwaseun Francis Egbelowo, Phumlani Dlamini, T. A. M. Langlands and I. C. Donnelly and has published in prestigious journals such as Journal of Computational Physics, Antimicrobial Agents and Chemotherapy and Chaos Solitons & Fractals.

In The Last Decade

Byron A. Jacobs

26 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byron A. Jacobs South Africa 12 124 100 70 46 29 29 329
Felix Albrecht United States 9 33 0.3× 40 0.4× 7 0.1× 8 0.2× 21 0.7× 26 252
Krzysztof Krakowski Portugal 6 71 0.6× 29 0.3× 27 0.4× 15 0.3× 75 2.6× 15 268
Tchavdar Marinov United States 11 98 0.8× 8 0.1× 22 0.3× 7 0.2× 7 0.2× 32 233
Arvind Kumar Singh India 9 145 1.2× 12 0.1× 130 1.9× 2 0.0× 34 1.2× 53 351
Burcu Gürbüz Türkiye 10 244 2.0× 11 0.1× 189 2.7× 3 0.1× 72 2.5× 40 335
George Ballinger Canada 5 119 1.0× 22 0.2× 82 1.2× 3 0.1× 239 8.2× 5 576
Xiang Wu China 11 100 0.8× 96 1.0× 29 0.4× 2 0.0× 46 1.6× 32 444
Manal Alqhtani Saudi Arabia 11 281 2.3× 8 0.1× 82 1.2× 6 0.1× 79 2.7× 24 367
N. Azimi-Tafreshi Iran 9 159 1.3× 51 0.5× 17 0.2× 3 0.1× 27 0.9× 14 406
G. P. Szegö United States 5 57 0.5× 13 0.1× 33 0.5× 9 0.2× 25 0.9× 7 326

Countries citing papers authored by Byron A. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Byron A. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byron A. Jacobs. 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 Byron A. Jacobs. The network helps show where Byron A. Jacobs may publish in the future.

Co-authorship network of co-authors of Byron A. Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Byron A. Jacobs. A scholar is included among the top collaborators of Byron A. Jacobs 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 Byron A. Jacobs. Byron A. Jacobs 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.
Jacobs, Byron A., et al.. (2025). A Network Based Model for Predicting Spatial Progression of Metastasis. Bulletin of Mathematical Biology. 87(5). 65–65. 1 indexed citations
2.
Dlamini, Phumlani, et al.. (2024). Solving the Advection Diffusion Reaction Equations by Using the Enhanced Higher-Order Unconditionally Positive Finite Difference Method. Mathematics. 12(7). 1009–1009. 1 indexed citations
3.
Dlamini, Phumlani, et al.. (2024). Developing Higher-Order Unconditionally Positive Finite Difference Methods for the Advection Diffusion Reaction Equations. Axioms. 13(4). 247–247. 1 indexed citations
4.
Jacobs, Byron A., et al.. (2024). Machine learning-based prediction of pharmacokinetic parameters for individualized drug dosage optimization. International Journal of Information Technology. 17(3). 1371–1385. 3 indexed citations
5.
Angstmann, Christopher N., et al.. (2024). An Exact Stochastic Simulation Method for Fractional Order Compartment Models. SIAM Journal on Applied Mathematics. 84(5). 2132–2151. 1 indexed citations
6.
Jacobs, Byron A., et al.. (2023). On the Validation of a Fractional Order Model for Pharmacokinetics Using Clinical Data. Fractal and Fractional. 7(1). 84–84. 6 indexed citations
7.
Jacobs, Byron A.. (2023). Image trinarization using a partial differential equation: A novel approach to automatic sperm image analysis. Applied Mathematical Modelling. 125. 704–727.
8.
Angstmann, Christopher N., et al.. (2023). A Systematic Approach to Delay Functions. Mathematics. 11(21). 4526–4526. 3 indexed citations
9.
Dlamini, Phumlani, et al.. (2022). Enhanced Unconditionally Positive Finite Difference Method for Advection–Diffusion–Reaction Equations. Mathematics. 10(15). 2639–2639. 12 indexed citations
10.
Jacobs, Byron A. & Turgay Çelik. (2021). Unsupervised document image binarization using a system of nonlinear partial differential equations. Applied Mathematics and Computation. 418. 126806–126806. 11 indexed citations
11.
Jacobs, Byron A., et al.. (2020). Numerical Convergence Analysis of the Frank–Kamenetskii Equation. Entropy. 22(1). 84–84.
12.
Jacobs, Byron A., et al.. (2019). Optimising the Vehicle Routing Problem with Time Windows under Standardised Metrics. 1. 111–115. 2 indexed citations
13.
Angstmann, Christopher N., B. I. Henry, Byron A. Jacobs, & Anna V. McGann. (2018). An explicit numerical scheme for solving fractional order compartment models from the master equations of a stochastic process. Communications in Nonlinear Science and Numerical Simulation. 68. 188–202. 11 indexed citations
14.
Angstmann, Christopher N., B. I. Henry, Byron A. Jacobs, & Anna V. McGann. (2017). Integrablization of time fractional PDEs. Computers & Mathematics with Applications. 73(6). 1053–1062. 1 indexed citations
15.
Jacobs, Byron A.. (2015). High‐order compact finite difference and laplace transform method for the solution of time‐fractional heat equations with dirchlet and neumann boundary conditions. Numerical Methods for Partial Differential Equations. 32(4). 1184–1199. 23 indexed citations
16.
Jacobs, Byron A.. (2015). A New Grünwald-Letnikov Derivative Derived from a Second-Order Scheme. Abstract and Applied Analysis. 2015. 1–9. 11 indexed citations
17.
Angstmann, Christopher N., I. C. Donnelly, B. I. Henry, et al.. (2015). From stochastic processes to numerical methods: A new scheme for solving reaction subdiffusion fractional partial differential equations. Journal of Computational Physics. 307. 508–534. 20 indexed citations
18.
Jacobs, Byron A. & E. Momoniat. (2015). A locally adaptive, diffusion based text binarization technique. Applied Mathematics and Computation. 269. 464–472. 20 indexed citations
19.
Jacobs, Byron A. & E. Momoniat. (2013). A novel approach to text binarization via a diffusion-based model. Applied Mathematics and Computation. 225. 446–460. 21 indexed citations
20.
Jacobs, Byron A.. (2003). Carjacking, Streetlife and Offender Motivation. The British Journal of Criminology. 43(4). 673–688. 73 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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