J.L.A. Yebra

23 papers receiving 291 citations

Peers

J.L.A. Yebra
Comparison fields: 5 of 37
  • Discrete Mathematics and Combinatorics 141
  • Geometry and Topology 185
  • Computational Theory and Mathematics 182
  • Computer Networks and Communications 124
  • Algebra and Number Theory 13
Replace K.M. Koh with:
K.M. Koh Singapore
Stephen C. Locke United States
Norbert Seifter Austria
Michel Mollard France
Yoshimi Egawa Japan
Mohamed H. El-Zahar Canada
Francesco Barioli Canada
A. Nilli Israel
Balázs Patkós Hungary
Hian Poh Yap Singapore
J.L.A. Yebra relative to K.M. Koh Singapore K.M. Koh's profile →
Citations per field
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Citations per year

Countries citing papers authored by J.L.A. Yebra

Since Specialization
Citations

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

Fields of papers citing papers by J.L.A. Yebra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.L.A. Yebra. 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.L.A. Yebra. The network helps show where J.L.A. Yebra may publish in the future.

Co-authors

The 8 scholars most cited alongside J.L.A. Yebra, 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 J.L.A. Yebra Line = papers co-authored together J.L.A. Yebra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199655
2
The Diameter of undirected graphs associated to plane tessellations
198550
3 199029
4 199629
5 198327
6 200120
7 199716
8 198312
9 199812
10 198611
11
Digraphs with walks of equal length between vertices
198510
12 199710
13 19999
14 19929
15
When the arc-colored line digraph of a cayley colored digraph is again a cayley colored digraph
19924
16 19934
17 19983
18 20023
19 20022
20 19912

About J.L.A. Yebra

J.L.A. Yebra is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Discrete Mathematics and Combinatorics, having authored 24 papers that have together received 320 indexed citations. Recurring topics across this work include Graph theory and applications (12 papers), Advanced Graph Theory Research (8 papers), Interconnection Networks and Systems (8 papers), Matrix Theory and Algorithms (5 papers), Finite Group Theory Research (5 papers), Advanced Optical Network Technologies (2 papers), Spectral Theory in Mathematical Physics (2 papers) and VLSI and FPGA Design Techniques (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (141 citations), Geometry and Topology (185 citations), Computational Theory and Mathematics (182 citations), Computer Networks and Communications (124 citations) and Algebra and Number Theory (13 citations). J.L.A. Yebra has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include M.A. Fiol, E. Garriga, J.A. Rodrı́guez, J. Fàbrega, J. Gómez, Francesc Comellas, V. J. Rayward‐Smith and Oriol Serra. Their work appears in journals such as Discrete Mathematics, Journal of Graph Theory, Journal of Combinatorial Theory Series B, Combinatorics Probability Computing and The Electronic Journal of Combinatorics.

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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