Marc Torrens

606 citations
29 papers · 362 · h-index 11

Impact in

Papers in

Marc Torrens

27 papers receiving 303 citations

Peers

Marc Torrens
Comparison fields: 5 of 47
  • Signal Processing 162
  • General Decision Sciences 15
  • Information Systems 142
  • Computer Networks and Communications 132
  • Artificial Intelligence 158
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Tim Donkers Germany
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A. Nanopoulos Greece
Kenji Hatano Japan
Su-Cheng Haw Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Marc Torrens

Since Specialization
Citations

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

Fields of papers citing papers by Marc Torrens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Marc Torrens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Torrens Line = papers co-authored together Marc Torrens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200452
2 200248
3 200441
4
User-Involved Preference Elicitation
200336
5 200429
6
Java Constraint Library: bringing constraints technology on the Internet using the Java language
199720
7
A Multi-Agent Recommender System for Planning Meetings
200013
8 200413
9 200313
10 200410
11 200310
12 200210
13
SmartClients: Constraint satisfaction as a paradigm for scaleable intelligent information systems
19999
14 20119
15 20048
16
Interchangeability for Case Adaptation in Configuration Problems
19987
17 20035
18
Using Soft CSPs for Approximating Pareto-Optimal Solution Sets
20025
19 20224
20 20054

About Marc Torrens

Marc Torrens is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 29 papers that have together received 362 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (15 papers), Data Management and Algorithms (11 papers), Semantic Web and Ontologies (6 papers), Data Visualization and Analytics (4 papers), Multi-Agent Systems and Negotiation (4 papers), Transportation and Mobility Innovations (3 papers), Advanced Database Systems and Queries (3 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Signal Processing (162 citations), General Decision Sciences (15 citations), Information Systems (142 citations), Computer Networks and Communications (132 citations) and Artificial Intelligence (158 citations). Marc Torrens has collaborated with scholars based in Switzerland, Spain and Austria. Frequent co-authors include Pearl Pu, Boi Faltings, Boi Faltings, Josep Lluís Arcos, Paolo Viappiani, Amir Tabaković, Monique Calisti, S. Willmott, Paul Resnick and Xavier Amatriain. Their work appears in journals such as Constraints, AI Magazine, Annals of Operations Research, Journal of Management Information Systems and Computational Intelligence.

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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