Daniela Grigori

About

Daniela Grigori is a scholar working on Management Information Systems, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Daniela Grigori has authored 12 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 6 papers in Information Systems and 4 papers in Management Science and Operations Research. Recurrent topics in Daniela Grigori’s work include Business Process Modeling and Analysis (9 papers), QoS-Aware Web Services Composition and Semantic Matching (6 papers) and Data Quality and Management (4 papers). Daniela Grigori is often cited by papers focused on Business Process Modeling and Analysis (9 papers), QoS-Aware Web Services Composition and Semantic Matching (6 papers) and Data Quality and Management (4 papers). Daniela Grigori collaborates with scholars based in France, United States and Greece. Daniela Grigori's co-authors include Ming-Chien Shan, Fabio Casati, Umeshwar Dayal, Malú Castellanos, Mehmet Sayal, Juan F. Huete, Jorge Gómez Gómez, Grigorios Tsoumakas, Pavlos Delias and Sherif Sakr and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Computers in Industry and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Daniela Grigori i

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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.

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).

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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