J.K. Djoko

518 citations
45 papers · 369 indexed · h-index 10
Topics
Advanced Numerical Methods in Computational Mathematics (31 papers)Numerical methods in engineering (17 papers)Advanced Mathematical Modeling in Engineering (15 papers)

In The Last Decade

J.K. Djoko

39 papers receiving 346 citations

Peers

J.K. Djoko
Comparison fields: 5 of 38
  • Computational Mechanics 224
  • Mechanics of Materials 182
  • Computational Theory and Mathematics 137
  • Numerical Analysis 63
  • Biomedical Engineering 61
Replace Lina Song with:
Lina Song China
Mejdi Azaïez France
Jintao Cui China
Lina Zhao Hong Kong
M.I.M. Copetti Brazil
Neela Nataraj India
Christian Constanda United States
Liyong Zhu China
Friedhelm Schieweck Germany
H.T. Rathod India
J.K. Djoko relative to Lina Song China Lina Song's profile →
Citations per field
00.5×5.4×
Lina Song · 1×
Citations per year

Countries citing papers authored by J.K. Djoko

Since Specialization
Citations

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

Fields of papers citing papers by J.K. Djoko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.K. Djoko. 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 J.K. Djoko. The network helps show where J.K. Djoko may publish in the future.

Co-authorship network of co-authors of J.K. Djoko

This figure shows the co-authorship network connecting the top 25 collaborators of J.K. Djoko. A scholar is included among the top collaborators of J.K. Djoko 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 J.K. Djoko. J.K. Djoko 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
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 0
6 4
7 5
8 3
9 1
10 1
11 3
12 3
13 7
14 3
15 1
16
ON THE TIME APPROXIMATION OF THE STOKES EQUATIONS WITH NONLINEAR SLIP BOUNDARY CONDITIONS
4
17 19
18 7
19 13
20 37

About J.K. Djoko

J.K. Djoko is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis, having authored 45 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (31 papers), Numerical methods in engineering (17 papers) and Advanced Mathematical Modeling in Engineering (15 papers). The work is most often cited by research in Numerical Analysis (63 citations), Computational Mechanics (224 citations) and Computational Theory and Mathematics (137 citations). J.K. Djoko has collaborated with scholars based in South Africa, Cameroon and France. Frequent co-authors include B.D. Reddy, François Ebobisse, Andrew McBride, Jonas Koko, Jean Lubuma, Appanah Rao Appadu, P. Lamichhane, Barbara Wohlmuth, Gabriel Deugoué and Roumen Anguelov. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Applied Mathematics and Computation and Computers & Mathematics with Applications.

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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