Daniela Grigori

46 total papers · 644 total citations
14 papers, 126 citations indexed

About

Daniela Grigori is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Daniela Grigori has authored 14 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 8 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Daniela Grigori's work include Service-Oriented Architecture and Web Services (11 papers), Semantic Web and Ontologies (8 papers) and Business Process Modeling and Analysis (3 papers). Daniela Grigori is often cited by papers focused on Service-Oriented Architecture and Web Services (11 papers), Semantic Web and Ontologies (8 papers) and Business Process Modeling and Analysis (3 papers). Daniela Grigori collaborates with scholars based in France, Colombia and India. Daniela Grigori's co-authors include Mokrane Bouzeghoub, Juan Carlos Corrales, François Charoy, Farouk Toumani, Hoa Khanh Dam, Hamamache Kheddouci, Alistair Barros, Djamal Benslimane, Jan Mendling and Brian F. Blake and has published in prestigious journals such as Lecture notes in computer science, IEEE Transactions on Services Computing and Ingénierie des systèmes d information.

In The Last Decade

Daniela Grigori

13 papers receiving 118 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniela Grigori 114 83 65 37 11 14 126
Gerd Gröner 106 0.9× 100 1.2× 55 0.8× 32 0.9× 8 0.7× 15 153
Ho-Pun Lam 84 0.7× 67 0.8× 88 1.4× 18 0.5× 8 0.7× 13 137
Emilia Cimpian 201 1.8× 175 2.1× 111 1.7× 57 1.5× 19 1.7× 11 222
Henrik Leopold 93 0.8× 51 0.6× 127 2.0× 22 0.6× 26 2.4× 18 154
Christophe Rey 142 1.2× 119 1.4× 38 0.6× 52 1.4× 11 1.0× 16 161
Vera Künzle 137 1.2× 70 0.8× 164 2.5× 26 0.7× 18 1.6× 11 178
Ulrich Küster 152 1.3× 118 1.4× 47 0.7× 49 1.3× 25 2.3× 17 169
Johannes Maria Zaha 88 0.8× 51 0.6× 66 1.0× 38 1.0× 4 0.4× 10 111
A.-A. Ivan 195 1.7× 114 1.4× 32 0.5× 133 3.6× 8 0.7× 11 238
Ulrike Greiner 170 1.5× 103 1.2× 168 2.6× 40 1.1× 9 0.8× 16 226

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

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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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2026