Martin Heusse

108 total papers · 3.0k total citations
26 papers, 734 citations indexed

About

Martin Heusse is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Martin Heusse has authored 26 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Martin Heusse's work include Mobile Ad Hoc Networks (12 papers), Wireless Networks and Protocols (11 papers) and Energy Efficient Wireless Sensor Networks (8 papers). Martin Heusse is often cited by papers focused on Mobile Ad Hoc Networks (12 papers), Wireless Networks and Protocols (11 papers) and Energy Efficient Wireless Sensor Networks (8 papers). Martin Heusse collaborates with scholars based in France, United States and Austria. Martin Heusse's co-authors include Andrzej Duda, Franck Rousseau, Romaric Guillier, Dominique Snyers, Sylvain Guérin, Pascale Kuntz, Abdelmalik Bachir, Dominique Barthel, Jordi Casademont and Elena López-Aguilera and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Martin Heusse

23 papers receiving 685 citations

Author Peers

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

Author Last Decade Papers Cites
Martin Heusse 679 382 27 24 19 26 734
Daniel Kofman 571 0.8× 561 1.5× 19 0.7× 20 0.8× 15 0.8× 30 850
Martin Lévesque 311 0.5× 493 1.3× 18 0.7× 27 1.1× 12 0.6× 24 636
Ana Galindo‐Serrano 622 0.9× 678 1.8× 53 2.0× 16 0.7× 8 0.4× 34 846
Guodong Wang 692 1.0× 470 1.2× 50 1.9× 17 0.7× 24 1.3× 36 847
Dee Denteneer 625 0.9× 376 1.0× 34 1.3× 23 1.0× 4 0.2× 36 762
Nah-Oak Song 593 0.9× 471 1.2× 17 0.6× 8 0.3× 5 0.3× 38 694
Ruben Merz 690 1.0× 652 1.7× 22 0.8× 61 2.5× 8 0.4× 59 892
Osman N. C. Yilmaz 440 0.6× 631 1.7× 23 0.9× 67 2.8× 11 0.6× 23 730
Michael Zuba 449 0.7× 388 1.0× 27 1.0× 11 0.5× 6 0.3× 33 677
Kent Tsz Kan Cheung 699 1.0× 610 1.6× 40 1.5× 60 2.5× 15 0.8× 12 863

Countries citing papers authored by Martin Heusse

Since Specialization
Citations

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

Fields of papers citing papers by Martin Heusse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Heusse

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