P. Kaelo

1.0k total citations
33 papers, 712 citations indexed

About

P. Kaelo is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, P. Kaelo has authored 33 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Numerical Analysis, 21 papers in Computational Theory and Mathematics and 15 papers in Computational Mechanics. Recurrent topics in P. Kaelo's work include Advanced Optimization Algorithms Research (29 papers), Sparse and Compressive Sensing Techniques (15 papers) and Optimization and Variational Analysis (11 papers). P. Kaelo is often cited by papers focused on Advanced Optimization Algorithms Research (29 papers), Sparse and Compressive Sensing Techniques (15 papers) and Optimization and Variational Analysis (11 papers). P. Kaelo collaborates with scholars based in Botswana, South Africa and Oman. P. Kaelo's co-authors include M. Montaz Ali, Maulana Malik, Ibrahim Mohammed Sulaiman, Jamilu Sabi’u and Issam A. R. Moghrabi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

P. Kaelo

28 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Kaelo Botswana 11 345 283 165 109 83 33 712
Giovanni Fasano Italy 16 159 0.5× 333 1.2× 249 1.5× 136 1.2× 74 0.9× 61 684
C. J. Price New Zealand 13 208 0.6× 289 1.0× 325 2.0× 106 1.0× 88 1.1× 54 719
Marat S. Mukhametzhanov Italy 13 185 0.5× 305 1.1× 139 0.8× 62 0.6× 70 0.8× 27 586
Giampaolo Liuzzi Italy 17 219 0.6× 452 1.6× 350 2.1× 118 1.1× 151 1.8× 58 836
Yu. G. Evtushenko Russia 13 73 0.2× 234 0.8× 284 1.7× 69 0.6× 119 1.4× 74 538
Oleg Burdakov Sweden 14 87 0.3× 125 0.4× 155 0.9× 108 1.0× 50 0.6× 44 579
Liansheng Zhang China 13 172 0.5× 298 1.1× 299 1.8× 46 0.4× 167 2.0× 45 582
Claus Hillermeier Germany 6 242 0.7× 380 1.3× 85 0.5× 18 0.2× 142 1.7× 21 666
Matthias Gerdts Germany 19 72 0.2× 277 1.0× 301 1.8× 155 1.4× 573 6.9× 101 1.3k

Countries citing papers authored by P. Kaelo

Since Specialization
Citations

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

Fields of papers citing papers by P. Kaelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Kaelo

This figure shows the co-authorship network connecting the top 25 collaborators of P. Kaelo. A scholar is included among the top collaborators of P. Kaelo 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 P. Kaelo. P. Kaelo 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
2.
Kaelo, P., et al.. (2025). A modified extended Fletcher–Reeves conjugate gradient method with an application in image restoration. International Journal of Computer Mathematics. 102(6). 830–845.
5.
Sulaiman, Ibrahim Mohammed, et al.. (2024). A descent generalized RMIL spectral gradient algorithm for optimization problems. International Journal of Applied Mathematics and Computer Science. 34(2). 3 indexed citations
6.
Kaelo, P., et al.. (2023). A modified nonlinear conjugate gradient algorithm for unconstrained optimization and portfolio selection problems. RAIRO. Operations research. 57(2). 817–835. 4 indexed citations
7.
Sabi’u, Jamilu, et al.. (2023). An optimal choice Dai-Liao conjugate gradient algorithm for unconstrained optimization and portfolio selection. AIMS Mathematics. 9(1). 642–664. 3 indexed citations
8.
Kaelo, P., et al.. (2021). An Efficient Mixed Conjugate Gradient Method for Solving Unconstrained Optimisation Problems. East Asian Journal on Applied Mathematics. 11(2). 421–434. 2 indexed citations
9.
Kaelo, P., et al.. (2021). A Globally Convergent Derivative-Free Projection Method for Nonlinear Monotone Equations with Applications. Bulletin of the Malaysian Mathematical Sciences Society. 44(6). 4335–4356. 2 indexed citations
11.
Kaelo, P., et al.. (2020). Self adaptive spectral conjugate gradient method for solving nonlinear monotone equations. SHILAP Revista de lepidopterología. 28(1). 7 indexed citations
12.
Kaelo, P., et al.. (2019). An efficient modified PRP-FR hybrid conjugate gradient method for solving unconstrained optimization problems. Applied Numerical Mathematics. 145. 111–120. 21 indexed citations
13.
Kaelo, P., et al.. (2019). An efficient hybrid conjugate gradient-based projection method for convex constrained nonlinear monotone equations. Journal of Interdisciplinary Mathematics. 22(6). 1031–1050. 8 indexed citations
14.
Kaelo, P., et al.. (2019). A globally convergent hybrid conjugate gradient method with strong Wolfe conditions for unconstrained optimization. Mathematical sciences. 14(1). 1–9. 16 indexed citations
15.
Kaelo, P., et al.. (2019). A NEW THREE-TERM CONJUGATE GRADIENT-BASED PROJECTION METHOD FOR SOLVING LARGE-SCALE NONLINEAR MONOTONE EQUATIONS. Mathematical Modelling and Analysis. 24(4). 550–563. 13 indexed citations
16.
Kaelo, P., et al.. (2016). Dimension Formulae for the Polynomial Algebra as a Module over the Steenrod Algebra in Degrees Less than or Equal to $12$. Journal of Mathematics Research. 8(5). 92–92. 4 indexed citations
17.
Kaelo, P. & M. Montaz Ali. (2012). NUMERICAL STUDIES OF SOME GENERALIZED CONTROLLED RANDOM SEARCH ALGORITHMS. Asia Pacific Journal of Operational Research. 29(2). 1250016–1250016. 2 indexed citations
18.
Ali, M. Montaz & P. Kaelo. (2007). Improved particle swarm algorithms for global optimization. Applied Mathematics and Computation. 196(2). 578–593. 79 indexed citations
19.
Kaelo, P. & M. Montaz Ali. (2006). Probabilistic adaptations of point generation schemes in some global optimization algorithms. Optimization methods & software. 21(3). 343–357. 3 indexed citations
20.
Kaelo, P. & M. Montaz Ali. (2006). Some Variants of the Controlled Random Search Algorithm for Global Optimization. Journal of Optimization Theory and Applications. 130(2). 253–264. 109 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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