2026 Matthias Grossglauser: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	40	9025	8771	166	165	112	16687

Overview

Matthias Grossglauser is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily focuses on Computer Science, with a particular emphasis on Artificial Intelligence and related subfields.

The scientist's work spans several specialized areas within Computer Science, including:

Domain Adaptation and Few-Shot Learning
Complex Network Analysis Techniques
Advanced Clustering Algorithms Research
Data Management and Algorithms
Advanced Image and Video Retrieval Techniques
Machine Learning and Algorithms
Wikis in Education and Collaboration

Grossglauser has contributed to recent academic literature with publications such as:

"Self-Supervised Prototypical Transfer Learning for Few-Shot Classification" (2020, arXiv (Cornell University))
"When Does Bottom-up Beat Top-down in Hierarchical Community Detection?" (2023, arXiv (Cornell University))
"Fast Interactive Search with a Scale-Free Comparison Oracle" (2023, arXiv (Cornell University))
"It's All Relative: Interpretable Models for Scoring Bias in Documents" (2023, arXiv (Cornell University))
"Studying Lobby Influence in the European Parliament" (2023, arXiv (Cornell University))

The scientist frequently publishes in the venue arXiv (Cornell University), where they have at least 12 publications. Other publication venues include Zenodo (CERN European Organization for Nuclear Research), OPAL (Open@LaTrobe) at La Trobe University, and the Journal of the American Statistical Association.

Collaboration is a notable aspect of Grossglauser's career. Frequent co-authors include:

Patrick Thiran
Aswin Suresh
Maximilien Dreveton
Victor Kristof
Suryanarayana Sankagiri

The scientist's work reflects a strong interdisciplinary approach, bridging theoretical frameworks with practical algorithms in Artificial Intelligence and network analysis. The focus on transfer learning, community detection, and algorithmic bias demonstrates engagement with current challenges in machine learning and data-driven decision-making.

Best Publications

Mobility increases the capacity of ad hoc wireless networks

Matthias Grossglauser;David N. C. Tse

8249
Citations
On the relevance of long-range dependence in network traffic

Matthias Grossglauser;Jean-Chrysostome Bolot

708
Citations
Trajectory sampling for direct traffic observation

N. G. Duffield;Matthias Grossglauser

663
Citations
Age matters: efficient route discovery in mobile ad hoc networks using encounter ages

Henri Dubois-Ferriere;Matthias Grossglauser;Martin Vetterli

596
Citations
TraNS: realistic joint traffic and network simulator for VANETs

M. Piórkowski;M. Raya;A. Lezama Lugo;P. Papadimitratos

428
Citations
MobiRoute : Routing towards a mobile sink for improving lifetime in sensor networks

Jun Luo;Jacques Panchard;Michal Piorkowski;Matthias Grossglauser

418
Citations
A parsimonious model of mobile partitioned networks with clustering

Michal Piorkowski;Natasa Sarafijanovic-Djukic;Matthias Grossglauser

377
Citations
CRAWDAD dataset epfl/mobility (v.2009-02-24)

Michal Piorkowski;Natasa Sarafijanovic-Djukic;Matthias Grossglauser

357
Citations
A framework for robust measurement-based admission control

Matthias Grossglauser;David N. C. Tse

335
Citations
RCBR: a simple and efficient service for multiple time-scale traffic

M. Grossglauser;S. Keshav;D. Tse

268
Citations
Launch hard or go home!: predicting the success of kickstarter campaigns

Vincent Etter;Matthias Grossglauser;Patrick Thiran

259
Citations
Locating nodes with EASE: last encounter routing in ad hoc networks through mobility diffusion

M. Grossglauser;M. Vetterli

242
Citations
RCBR: a simple and efficient service for multiple time-scale traffic

Matthias Grossglauser;Srinivasan Keshav;David N. C. Tse

225
Citations
On the privacy of anonymized networks

Pedram Pedarsani;Matthias Grossglauser

212
Citations
Consistent sampling for network traffic measurement

Nicholas G. Duffield;Matthias Grossglauser

185
Citations
On the performance of percolation graph matching

Lyudmila Yartseva;Matthias Grossglauser

183
Citations
Even one-dimensional mobility increases ad hoc wireless capacity

S.N. Diggavi;M. Grossglauser;D.N.C. Tse

178
Citations
A time-scale decomposition approach to measurement-based admission control

Matthias Grossglauser;David N. C. Tse

174
Citations
Island Hopping: Efficient Mobility-Assisted Forwarding in Partitioned Networks

Natasa Sarafijanovic-Djukic;Michal Pidrkowski;Matthias Grossglauser

157
Citations
Valuable detours: least-cost anypath routing

Henri Dubois-Ferrière;Matthias Grossglauser;Martin Vetterli

151
Citations

Frequent Co-Authors

Patrick Thiran École Polytechnique Fédérale de Lausanne

David Tse Stanford University

Suhas Diggavi University of California, Los Angeles

Martin Vetterli École Polytechnique Fédérale de Lausanne

Srinivasan Keshav University of Cambridge

Nick Duffield Texas A&M University

Jean-Pierre Hubaux École Polytechnique Fédérale de Lausanne

Kenneth L. Clarkson IBM (United States)

Jun Luo Nanyang Technological University

Panos Papadimitratos Royal Institute of Technology

External Links

Personal website of Matthias Grossglauser Google Scholar page

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