2026 Marcelo Arenas: 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	56	4108	3993	2	2	261	11648

Research.com Recognitions

2026 - Research.com Computer Science in Chile Leader Award
2025 - Research.com Computer Science in Chile Leader Award
2022 - Research.com Computer Science in Chile Leader Award

Overview

Marcelo Arenas is a researcher affiliated with the Pontificia Universidad Católica de Chile in Chile. Their work primarily focuses on various domains within computer science, with specific research interests that include artificial intelligence, computer networks and communications, computational theory and mathematics, computer vision and pattern recognition, and signal processing.

Their research covers several main topics, including:

Advanced Database Systems and Queries
Explainable Artificial Intelligence (XAI)
Bayesian Modeling and Causal Inference
Graph Theory and Algorithms
Data Management and Algorithms
Machine Learning and Algorithms
Adversarial Robustness in Machine Learning

Marcelo Arenas has published extensively in a variety of venues. Frequent publication outlets include:

arXiv (Cornell University)
ACM SIGMOD Record
Communications of the ACM
Proceedings of the AAAI Conference on Artificial Intelligence
Data Intelligence

Among recent published papers, the following stand out:

"The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"On the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results," 2021, arXiv (Cornell University)
"On Computing Probabilistic Explanations for Decision Trees," 2022, arXiv (Cornell University)

Other notable papers related to graph processing and the broader field of computing include:

"The future is big graphs," 2021, Communications of the ACM (authored by Sherif Sakr)
"The Future is Big Graphs! A Community View on Graph Processing Systems," 2020, Repository for Publications and Research Data (ETH Zurich) (authored by Sherif Sakr)

Collaborations are an important component of Marcelo Arenas's scientific activity. Frequent co-authors include:

Pablo Barceló
Cristian Riveros
Mikaël Monet
Bernardo Subercaseaux
Renzo Angles

Best Publications

Semantics and complexity of SPARQL

Jorge Pérez;Marcelo Arenas;Claudio Gutierrez

1519
Citations
Consistent query answers in inconsistent databases

M. Arenas;L. Bertossi;J. Chomicki

1118
Citations
A normal form for XML documents

Marcelo Arenas;Leonid Libkin

605
Citations
Foundations of Modern Query Languages for Graph Databases

Renzo Angles;Marcelo Arenas;Pablo Barceló;Aidan Hogan

449
Citations
Mapping data in peer-to-peer systems: semantics and algorithmic issues

Anastasios Kementsietsidis;Marcelo Arenas;Renée J. Miller

347
Citations
Semantics and complexity of SPARQL

Jorge Pérez;Marcelo Arenas;Claudio Gutierrez

314
Citations
XML data exchange: Consistency and query answering

Marcelo Arenas;Leonid Libkin

286
Citations
nSPARQL: A navigational language for RDF

Jorge Pérez;Marcelo Arenas;Claudio Gutierrez

268
Citations
The hyperion project: from data integration to data coordination

Marcelo Arenas;Vasiliki Kantere;Anastasios Kementsietsidis;Iluju Kiringa

260
Citations
Answer sets for consistent query answering in inconsistent databases

Marcelo Arenas;Leopoldo Bertossi;Jan Chomicki

225
Citations
On directly mapping relational databases to RDF and OWL

Juan F. Sequeda;Marcelo Arenas;Daniel P. Miranker

209
Citations
Querying semantic web data with SPARQL

Marcelo Arenas;Jorge Pérez

182
Citations
An information-theoretic approach to normal forms for relational and XML data

Marcelo Arenas;Leonid Libkin

178
Citations
Scalar aggregation in inconsistent databases

Marcelo Arenas;Leopoldo Bertossi;Jan Chomicki;Xin He

173
Citations
XML data exchange: consistency and query answering

Marcelo Arenas;Leonid Libkin

172
Citations
G-CORE: A Core for Future Graph Query Languages

Renzo Angles;Marcelo Arenas;Pablo Barcelo;Peter Boncz

170
Citations
Counting beyond a Yottabyte, or how SPARQL 1.1 property paths will prevent adoption of the standard

Marcelo Arenas;Sebastián Conca;Jorge Pérez

163
Citations
The future is big graphs: a community view on graph processing systems

Sherif Sakr;Angela Bonifati;Hannes Voigt;Alexandru Iosup

159
Citations
A normal form for XML documents

Marcelo Arenas;Leonid Libkin

137
Citations
Locally consistent transformations and query answering in data exchange

Marcelo Arenas;Pablo Barceló;Ronald Fagin;Leonid Libkin

136
Citations
nSPARQL: A Navigational Language for RDF

Jorge Pérez;Marcelo Arenas;Claudio Gutierrez

83
Citations
On Directly Mapping Relational Databases to RDF and OWL (Extended Version)

Juan F. Sequeda;Marcelo Arenas;Daniel P. Miranker

8
Citations

Frequent Co-Authors

Leonid Libkin University of Edinburgh

Leopoldo Bertossi Carleton University

Jan Chomicki University at Buffalo, State University of New York

Diego Calvanese Free University of Bozen-Bolzano

Anastasios Kementsietsidis Google (United States)

Axel Polleres Vienna University of Economics and Business

Wenfei Fan University of Edinburgh

Bernardo Cuenca Grau University of Oxford

Renée J. Miller University of Toronto

Evgeny Kharlamov University of Oslo

External Links

Personal website of Marcelo Arenas Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring Computer Science can lead to a wide range of online degree options and career pathways. Whether you’re just starting out or advancing your skills, there are flexible choices to fit your goals.

Many students opt for an associate degree online as an entry point into tech careers. Associate programs offer fundamental knowledge and can be a quick path into the workforce or a stepping stone to further study.

For those looking to maximize their investment, certain computer science graduate programs are ranked among the masters degrees that are worth it. These degrees are in high demand and often result in strong career prospects and salary growth.

Affordability is often a concern, but you can find the cheapest online colleges offering accredited computer science and IT programs. This allows students from all backgrounds to pursue their academic dreams without high financial barriers.

If your academic record isn’t perfect, there are still options. Several online graduate programs that accept 2.0 gpa make advanced study accessible, emphasizing potential and motivation as much as grades.