Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Stochastic geometry and random graphs for the analysis and design of wireless networks
20091.2k citationsMartin Haenggi, Jeffrey G. Andrews et al.IEEE Journal on Selected Areas in Communicationsprofile →
Closing the Gap in the Capacity of Wireless Networks Via Percolation Theory
2007444 citationsMassimo Franceschetti, Olivier Dousse et al.IEEE Transactions on Information Theoryprofile →
Mobility improves coverage of sensor networks
2005401 citationsBenyuan Liu, Olivier Dousse et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Olivier Dousse
Since
Specialization
Citations
This map shows the geographic impact of Olivier Dousse'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 Olivier Dousse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Dousse more than expected).
This network shows the impact of papers produced by Olivier Dousse. 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 Olivier Dousse. The network helps show where Olivier Dousse may publish in the future.
Co-authorship network of co-authors of Olivier Dousse
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Dousse.
A scholar is included among the top collaborators of Olivier Dousse 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 Olivier Dousse. Olivier Dousse 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
1.
Dousse, Olivier, et al.. (2015). Opportunistic Sampling for Joint Population Size and Density Estimation: Supplementary Notes.1 indexed citations
2.
Liu, Benyuan, Olivier Dousse, Philippe Nain, & Don Towsley. (2013). Dynamic Coverage of Mobile Sensor Networks. IEEE Transactions on Parallel and Distributed Systems. 24(2). 301–311.161 indexed citations
3.
Laurila, J., Daniel Gática-Pérez, Imad Aad, et al.. (2012). The Mobile Data Challenge: Big Data for Mobile Computing Research. TUbilio (Technical University of Darmstadt).292 indexed citations
Blom, Jan, et al.. (2010). Towards rich mobile phone datasets: Lausanne data collection campaign. Infoscience (Ecole Polytechnique Fédérale de Lausanne).189 indexed citations
Haenggi, Martin, Jeffrey G. Andrews, François Baccelli, Olivier Dousse, & Massimo Franceschetti. (2009). Stochastic geometry and random graphs for the analysis and design of wireless networks. IEEE Journal on Selected Areas in Communications. 27(7). 1029–1046.1178 indexed citations breakdown →
Dousse, Olivier, Massimo Franceschetti, & Patrick Thiran. (2004). The Costly Path from Percolation to Full Connectivity. Infoscience (Ecole Polytechnique Fédérale de Lausanne).12 indexed citations
18.
Franceschetti, Massimo, Olivier Dousse, David Tse, & Patrick Thiran. (2004). On the throughput capacity of random wireless networks.54 indexed citations
19.
Dousse, Olivier & Patrick Thiran. (2003). Connectivity of self-organized ad hoc wireless networks. IEEE Intelligent Systems. 18(4). 83–86.1 indexed citations
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.