Luc Séméria

10 total papers · 450 total citations
9 papers, 315 citations indexed

About

Luc Séméria is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Luc Séméria has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 3 papers in Computer Networks and Communications and 2 papers in Computational Theory and Mathematics. Recurrent topics in Luc Séméria's work include Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (7 papers) and Interconnection Networks and Systems (2 papers). Luc Séméria is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Embedded Systems Design Techniques (7 papers) and Interconnection Networks and Systems (2 papers). Luc Séméria collaborates with scholars based in United States, Switzerland and Japan. Luc Séméria's co-authors include Giovanni De Micheli, Abhijit Ghosh, Oskar Mencer, M. Morf, Jean-Marc Delosme and G. De Micheli and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology.

In The Last Decade

Luc Séméria

9 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
Luc Séméria	273	132	60	57	34	9	315
Ross B. Ortega	257 0.9×	131 1.0×	51 0.8×	30 0.5×	15 0.4×	11	306
Jay K. Adams	276 1.0×	114 0.9×	44 0.7×	57 1.0×	57 1.7×	6	342
Pierre Bricaud	231 0.8×	79 0.6×	39 0.7×	140 2.5×	21 0.6×	10	305
Stefan Pees	247 0.9×	93 0.7×	22 0.4×	41 0.7×	31 0.9×	6	262
Stefan Valentin Gheorghita	311 1.1×	175 1.3×	33 0.6×	44 0.8×	12 0.4×	11	349
A. L. Hopkins	179 0.7×	209 1.6×	49 0.8×	97 1.7×	39 1.1×	14	331
Christiaan Baaij	285 1.0×	126 1.0×	38 0.6×	41 0.7×	9 0.3×	10	324
C.J. Walter	195 0.7×	263 2.0×	59 1.0×	80 1.4×	18 0.5×	19	329
J.-Y. Brunel	231 0.8×	160 1.2×	39 0.7×	24 0.4×	11 0.3×	7	253
Friedman	218 0.8×	164 1.2×	29 0.5×	118 2.1×	32 0.9×	8	346

Countries citing papers authored by Luc Séméria

Since Specialization

Citations

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

Fields of papers citing papers by Luc Séméria

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Séméria

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Séméria. A scholar is included among the top collaborators of Luc Séméria 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 Luc Séméria. Luc Séméria 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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