The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Aristides Gionis sits on this spectrum.
This scientist: 291 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Aristides Gionis sits on this spectrum.
This scientist: 69 D-Index — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Aristides Gionis is affiliated with the Royal Institute of Technology in Sweden. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Statistical and Nonlinear Physics, and Signal Processing.
The scientist's work covers multiple advanced topics including Complex Network Analysis Techniques, Data Management and Algorithms, Complexity and Algorithms in Graphs, Mobile Crowdsensing and Crowdsourcing, Advanced Graph Neural Networks, Graph Theory and Algorithms, and Optimization and Search Problems.
Aristides Gionis has contributed to various publications, with frequent appearances in prominent venues such as arXiv (Cornell University), Data Mining and Knowledge Discovery, Proceedings of the International AAAI Conference on Web and Social Media, the 2022 IEEE International Conference on Data Mining (ICDM), and Knowledge and Information Systems.
Their recent papers include:
The scientist has collaborated extensively with frequent co-authors including Martino Ciaperoni, Suhas Thejaswi, Antonis Matakos, Nikolaj Tatti, and Bruno Ordozgoiti.
Aristides Gionis;Piotr Indyk;Rajeev Motwani
Unknown
Eugene Agichtein;Carlos Castillo;Debora Donato;Aristides Gionis
A. Gionis;H. Mannila;P. Tsaparas
Mayur Datar;Aristides Gionis;Piotr Indyk;Rajeev Motwani
E. Cohen;M. Datar;S. Fujiwara;A. Gionis
Mauro Sozio;Aristides Gionis
Carlos Castillo;Debora Donato;Aristides Gionis;Vanessa Murdock
Kiran Garimella;Gianmarco De Francisci Morales;Aristides Gionis;Michael Mathioudakis
P. Miettinen;T. Mielikainen;A. Gionis;G. Das
Francesco Bonchi;Carlos Castillo;Aristides Gionis;Alejandro Jaimes
Kiran Garimella;Gianmarco De Francisci Morales;Aristides Gionis;Michael Mathioudakis
Paolo Boldi;Francesco Bonchi;Carlos Castillo;Debora Donato
Aris Anagnostopoulos;Luca Becchetti;Carlos Castillo;Aristides Gionis
Aristides Gionis;Heikki Mannila;Taneli Mielikäinen;Panayiotis Tsaparas
Michalis Potamias;Francesco Bonchi;Carlos Castillo;Aristides Gionis
Mayur Datar;Aristides Gionis;Piotr Indyk;Rajeev Motwani
Luca Becchetti;Paolo Boldi;Carlos Castillo;Aristides Gionis
Eduardo J. Ruiz;Vagelis Hristidis;Carlos Castillo;Aristides Gionis
Minos Garofalakis;Aristides Gionis;Rajeev Rastogi;S. Seshadri
Carlos Castillo;Debora Donato;Aristides Gionis;Vanessa Murdock
If you think any of the details on this page are incorrect, let us know.
Exploring online degree programs opens up diverse routes for building your computer science career in the USA. Many students start with the easiest associate degree options, providing an accessible entry point to tech fields while balancing costs and flexibility.
For those seeking advancement, affordable graduate education is possible through online affordable master's programs. These programs enhance technical expertise and can significantly boost employability.
Leadership roles in technology or related fields often require advanced credentials. Consider pursuing a phd leadership online or an ed.d educational leadership program. Both offer flexibility for working professionals and a focused pathway into management or academic positions.
Each of these education levels offers unique advantages. Online learning makes it easier to upskill or change direction, while affordable options help reduce financial barriers—making computer science careers more accessible than ever.
New York University
Favaloro University
Swansea University
McGill University Health Centre
University of Amsterdam
Stanford University
Universität Hamburg
University of Pittsburgh
Karadeniz Technical University
Plymouth Marine Laboratory
Yale University
University of Oxford
London School of Economics and Political Science
Mayo Clinic
University of Manchester
The University of Texas at Austin
