Djalil Kateb

40 total papers · 458 total citations
25 papers, 285 citations indexed

About

Djalil Kateb is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Djalil Kateb has authored 25 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mathematical Physics, 10 papers in Computational Theory and Mathematics and 7 papers in Computational Mechanics. Recurrent topics in Djalil Kateb's work include Numerical methods in inverse problems (11 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Image and Signal Denoising Methods (5 papers). Djalil Kateb is often cited by papers focused on Numerical methods in inverse problems (11 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Image and Signal Denoising Methods (5 papers). Djalil Kateb collaborates with scholars based in France, United States and Algeria. Djalil Kateb's co-authors include Marc Dambrine, Lekbir Afraites, Gérard Bourdaud, Pierre Gilles Lemarié–Rieusset, R. E. Long, Yacine Chitour, Karsten Eppler, Frédérique Le Louër, Nathalie Verdière and Karine Beauchard and has published in prestigious journals such as IEEE Transactions on Signal Processing, Journal of Mathematical Analysis and Applications and SIAM Journal on Control and Optimization.

In The Last Decade

Djalil Kateb

25 papers receiving 249 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Djalil Kateb	174	120	91	72	60	25	285
H.-J. Reinhardt	198 1.1×	78 0.7×	99 1.1×	53 0.7×	74 1.2×	20	304
Timo Tiihonen	142 0.8×	105 0.9×	67 0.7×	61 0.8×	180 3.0×	29	329
Grégory Vial	111 0.6×	184 1.5×	112 1.2×	32 0.4×	69 1.1×	29	274
G. Peichl	109 0.6×	164 1.4×	98 1.1×	30 0.4×	133 2.2×	23	306
S. V. Rumyantsev	174 1.0×	22 0.2×	79 0.9×	21 0.3×	112 1.9×	20	303
Eva Sincich	193 1.1×	92 0.8×	87 1.0×	30 0.4×	21 0.3×	27	244
M. L. Mascarenhas	73 0.4×	260 2.2×	168 1.8×	98 1.4×	108 1.8×	21	323
Barbara Zwicknagl	41 0.2×	74 0.6×	56 0.6×	37 0.5×	48 0.8×	24	206
L.-E. Andersson	76 0.4×	127 1.1×	124 1.4×	25 0.3×	77 1.3×	21	296
Yi Yan	57 0.3×	49 0.4×	168 1.8×	58 0.8×	37 0.6×	19	330

Countries citing papers authored by Djalil Kateb

Since Specialization

Citations

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

Fields of papers citing papers by Djalil Kateb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djalil Kateb

This figure shows the co-authorship network connecting the top 25 collaborators of Djalil Kateb. A scholar is included among the top collaborators of Djalil Kateb 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 Djalil Kateb. Djalil Kateb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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