Robert Piro

633 citations
16 papers · 407 · h-index 11

Impact in

Papers in

Robert Piro

16 papers receiving 385 citations

Peers

Robert Piro
Comparison fields: 5 of 34
  • Artificial Intelligence 343
  • Computer Networks and Communications 193
  • Signal Processing 65
  • Information Systems and Management 33
  • Information Systems 94
Replace Radu Ciucanu with:
Radu Ciucanu France
Carlo Sartiani Italy
Dario Colazzo France
Cristina Sirangelo France
Łucja Kot United States
Mahmoud Abo Khamis United States
Kian Win Ong United States
K. Bernhard Schiefer United States
Bruno Marnette United Kingdom
Scott Garriss United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert Piro

Since Specialization
Citations

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

Fields of papers citing papers by Robert Piro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Robert Piro, 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 Robert Piro Line = papers co-authored together Robert Piro links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2015120
2 201497
3 201545
4 201129
5 201928
6 201616
7 202014
8
Enriching EL-Concepts with Greatest Fixpoints
201012
9 201512
10 201411
11 200810
12
EL-Concepts go Second-Order: Greatest Fixpoints and Simulation Quantifiers.
20104
13
Parallel OWL 2 RL Materialisation in Centralised‚ Main−Memory RDF Systems
20143
14 20103
15 20142
16 20211

About Robert Piro

Robert Piro is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems and Management, Clinical Psychology and Signal Processing, having authored 16 papers that have together received 407 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (9 papers), Logic, Reasoning, and Knowledge (6 papers), Natural Language Processing Techniques (3 papers), Scientific Computing and Data Management (3 papers), Data Quality and Management (2 papers), Data Management and Algorithms (2 papers) and Grief, Bereavement, and Mental Health (2 papers). The work is most often cited by research in Artificial Intelligence (343 citations), Computer Networks and Communications (193 citations), Signal Processing (65 citations), Information Systems and Management (33 citations) and Information Systems (94 citations). Robert Piro has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Boris Motik, Yavor Nenov, Ian Horrocks, Zhe Wu, Dan Olteanu, Jay Banerjee, Carsten Lutz, Frank Wolter, Martin Otto and J. E. Black. Their work appears in journals such as Semantic Web, OMEGA - Journal of Death and Dying, Artificial Intelligence, Lecture notes in computer science and Dreaming.

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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