Daniela Grigori

644 citations
14 papers · 126 indexed · h-index 6
Topics
Service-Oriented Architecture and Web Services (11 papers)Semantic Web and Ontologies (8 papers)Data Quality and Management (3 papers)
Journals
Lecture notes in computer scienceIEEE Transactions on Services ComputingIngénierie des systèmes d information
Partner nations
FranceColombiaAustralia

In The Last Decade

Daniela Grigori

13 papers receiving 118 citations

Peers

Daniela Grigori
Comparison fields: 5 of 20
  • Information Systems 114
  • Artificial Intelligence 83
  • Management Information Systems 65
  • Computer Networks and Communications 37
  • Management Science and Operations Research 11
Replace Mark H. Linehan with:
Mark H. Linehan United States
Jutta Mülle Germany
Johannes Maria Zaha Australia
Vera Künzle Germany
Kruti Patel Canada
David Knuplesch Germany
Çağdaş Evren Gerede United States
Stijn Heymans Austria
Frank Puhlmann Germany
Juliane Dehnert Germany
Daniela Grigori relative to Mark H. Linehan United States Mark H. Linehan's profile →
Citations per field
00.5×1.5×
Mark H. Linehan · 1×
Citations per year

Countries citing papers authored by Daniela Grigori

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Grigori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Grigori

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Grigori. A scholar is included among the top collaborators of Daniela Grigori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Grigori. Daniela Grigori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 3
3 7
4 1
5 1
6 6
7 43
8 6
9
Ranked Matching for OWL-S Process Model Discovery
1
10 16
11 2
12 0
13 34
14 5

About Daniela Grigori

Daniela Grigori is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence, having authored 14 papers that have together received 126 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (11 papers), Semantic Web and Ontologies (8 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Management Information Systems (65 citations), Information Systems (114 citations) and Artificial Intelligence (83 citations). Daniela Grigori has collaborated with scholars based in France, Colombia and Australia. Frequent co-authors include Mokrane Bouzeghoub, Juan Carlos Corrales, François Charoy, Alistair Barros, Olivier Perrin, Nejib Ben Hadj-Alouane, Sami Bhiri, Brian F. Blake, Jan Mendling and Hoa Khanh Dam. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Services Computing and Ingénierie des systèmes d information.

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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