Andréas Pieris

2.0k citations
63 papers · 814 · h-index 15

Impact in

Papers in

Andréas Pieris

58 papers receiving 755 citations

Peers

Andréas Pieris
Comparison fields: 5 of 32
  • Computer Networks and Communications 585
  • Artificial Intelligence 729
  • Signal Processing 192
  • Management Science and Operations Research 123
  • Information Systems 155
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Oliver M. Duschka United States
David Toman Canada
Jeff Naughton United States
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Carlos Hurtado Chile
Marie-Christine Rousset France
Marco Ruzzi Italy
Jagannathan Srinivasan United States
Johann Christoph Freytag Germany
Prasan Roy India
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Citations per field
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Citations per year

Countries citing papers authored by Andréas Pieris

Since Specialization
Citations

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

Fields of papers citing papers by Andréas Pieris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andréas Pieris, 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 Andréas Pieris Line = papers co-authored together Andréas Pieris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012117
2 201079
3 201178
4 201062
5 201445
6 201435
7 201532
8
IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013
201326
9 201723
10 201123
11
Beyond SPARQL under OWL 2 QL entailment regime: rules to the rescue
201520
12 201119
13 201618
14
Polynomial combined rewritings for existential rules
201415
15
The Impact of Disjunction on Query Answering Under Guarded-Based Existential Rules.
201315
16 201814
17 201912
18
Polynomial rewritings for linear existential rules
201511
19 201711
20 201511

About Andréas Pieris

Andréas Pieris is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Information Systems, having authored 63 papers that have together received 814 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (54 papers), Semantic Web and Ontologies (51 papers), Logic, Reasoning, and Knowledge (24 papers), Data Management and Algorithms (23 papers), Data Quality and Management (8 papers), Service-Oriented Architecture and Web Services (3 papers), Constraint Satisfaction and Optimization (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computer Networks and Communications (585 citations), Artificial Intelligence (729 citations), Signal Processing (192 citations), Management Science and Operations Research (123 citations) and Information Systems (155 citations). Andréas Pieris has collaborated with scholars based in United Kingdom, Italy and Austria. Frequent co-authors include Georg Gottlob, Andrea Calı̀, Giorgio Orsi, Thomas Lukasiewicz, Michael Morak, Marco Manna, Pierre Bourhis, Bruno Marnette, Gerardo I. Simari and María Vanina Martínez. Their work appears in journals such as ACM Transactions on Database Systems, Proceedings of the VLDB Endowment, Theory of Computing Systems, ACM SIGMOD Record and Artificial 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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