Arild Waaler

37 papers receiving 456 citations

Peers

Arild Waaler
Comparison fields: 5 of 62
  • Artificial Intelligence 331
  • Management Science and Operations Research 114
  • Industrial and Manufacturing Engineering 86
  • Information Systems and Management 42
  • Computer Networks and Communications 136
Replace Miguel A. Martínez‐Prieto with:
Miguel A. Martínez‐Prieto Spain
Martín Rezk Italy
Davide Lanti Italy
Anastasia Dimou Belgium
Martin Giese Norway
Rihan Hai Netherlands
M. Blaha United States
Injun Choi South Korea
Claus Stadler Germany
Loli Burgueño Spain
Arild Waaler relative to Miguel A. Martínez‐Prieto Spain Miguel A. Martínez‐Prieto's profile →
Citations per field
00.5×2.8×
Miguel A. Martínez‐Prieto · 1×
Citations per year

Countries citing papers authored by Arild Waaler

Since Specialization
Citations

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

Fields of papers citing papers by Arild Waaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201768
2 201562
3 201760
4 201633
5 201829
6 201828
7 201720
8
OPTIQUE: Ontology−Based Data Access Platform
201518
9 202118
10 201614
11 201612
12 201612
13 201911
14 201511
15
Semantics for multi-agent only knowing: extended abstract
20058
16
Consistency Proofs for Systems of Multi?agent Only Knowing.
20048
17 20228
18 20167
19 20107
20 20097

About Arild Waaler

Arild Waaler is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Computational Theory and Mathematics, having authored 41 papers that have together received 489 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Advanced Database Systems and Queries (13 papers), Service-Oriented Architecture and Web Services (11 papers), Data Quality and Management (11 papers), Logic, Reasoning, and Knowledge (6 papers), Scientific Computing and Data Management (4 papers), Data Management and Algorithms (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Management Science and Operations Research (114 citations), Industrial and Manufacturing Engineering (86 citations), Information Systems and Management (42 citations) and Computer Networks and Communications (136 citations). Arild Waaler has collaborated with scholars based in Norway, United Kingdom and Germany. Frequent co-authors include Evgeny Kharlamov, Martin Giese, Ahmet Soylu, Ernesto Jiménez-Ruiz, David Cameron, Ian Horrocks, Guohui Xiao, Martín Rezk, Özgür Lütfü Özçep and Yannis Ioannidis. Their work appears in journals such as Journal of Web Semantics, IEEE Internet Computing, Data Mining and Knowledge Discovery, Journal of Biomedical Semantics and Computer.

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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