Daniel Okunbor

482 citations
33 papers · 326 indexed · h-index 9

Impact in

Papers in

Daniel Okunbor

31 papers receiving 302 citations

Peers

Daniel Okunbor
Comparison fields: 5 of 59
  • Numerical Analysis 148
  • Statistical and Nonlinear Physics 69
  • Computational Mechanics 98
  • Computational Theory and Mathematics 40
  • Aerospace Engineering 56
Replace Robert Speck with:
Robert Speck Germany
Kjell Gustafsson Sweden
Markus Bachmayr Germany
N. Ben Abdallah France
Robert Altmann Germany
Xiaofei Zhao China
Anita Mayo United States
Philippe Chartier France
V. A. Trenogin Russia
Daniel Okunbor relative to Robert Speck Germany Robert Speck's profile →
Citations per field
00.5×1.5×2.3×
Robert Speck · 1×
Citations per year

Countries citing papers authored by Daniel Okunbor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Okunbor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Daniel Okunbor, 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 Daniel Okunbor Line = papers co-authored together Daniel Okunbor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199259
2 199848
3 199432
4 199932
5 199428
6 199227
7 199615
8 199512
9 19999
10 19947
11
ANALYSIS OF A MOBILE LEARNING PILOT STUDY
20086
12 20225
13 20025
14 20025
15 19925
16 19934
17 19924
18 20154
19 19953
20
Canonical integration methods for Hamiltonian dynamical systems
19933

About Daniel Okunbor

Daniel Okunbor is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 33 papers that have together received 326 indexed citations. Recurring topics across this work include Numerical methods for differential equations (11 papers), Quantum chaos and dynamical systems (6 papers), Model Reduction and Neural Networks (5 papers), Distributed and Parallel Computing Systems (3 papers), Chaos-based Image/Signal Encryption (3 papers), Parallel Computing and Optimization Techniques (3 papers), Matrix Theory and Algorithms (3 papers) and Antenna Design and Analysis (2 papers). The work is most often cited by research in Numerical Analysis (148 citations), Statistical and Nonlinear Physics (69 citations), Computational Mechanics (98 citations), Computational Theory and Mathematics (40 citations) and Aerospace Engineering (56 citations). Daniel Okunbor has collaborated with scholars based in United States, Nigeria and India. Frequent co-authors include Robert D. Skeel, Walter Eversman, Eric Jui‐Lin Lu, David J. Hardy, Shivani Arora, Victor Chukwudi Osamor, R. K. Bhatnagar, Wei Wang, Rakesh Kumar Sharma and Dinesh K. Sharma. Their work appears in journals such as Journal of Computational and Applied Mathematics, Mathematics of Computation, SIAM Journal on Numerical Analysis, The Journal of Chemical Physics and Journal of Computational Physics.

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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