Ivan Donadello

952 citations
37 papers · 543 · h-index 11

Impact in

    • Business Process Modeling and Analysis
    • Explainable Artificial Intelligence (XAI)
    • Logic, Reasoning, and Knowledge
    • Sentiment Analysis and Opinion Mining
    • Semantic Web and Ontologies
    • Neural Networks and Applications

Papers in

Ivan Donadello

33 papers receiving 524 citations

Peers

Ivan Donadello
Comparison fields: 5 of 65
  • Management Information Systems 111
  • Artificial Intelligence 297
  • Health Informatics 13
  • Computer Vision and Pattern Recognition 58
  • Health Information Management 18
Replace Georgios Spithourakis with:
Georgios Spithourakis United Kingdom
Juan Carlos Nieves Sweden
Júlio César Nievola Brazil
Arnaud Sahuguet United States
David N. Morley United States
Heru Agus Santoso Indonesia
Stephen Macke United States
Heba Abdel-Nabi Jordan
S. D. Madhu Kumar India
Van-Hai Pham Vietnam
Ivan Donadello relative to Georgios Spithourakis United Kingdom Georgios Spithourakis's profile →
Citations per field
00.5×2×4×6.6×
Georgios Spithourakis · 1×
Citations per year

Countries citing papers authored by Ivan Donadello

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Donadello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017118
2 202284
3 202460
4 202054
5 202241
6 201724
7 201918
8 201916
9 201612
10 201612
11 202312
12 201511
13
Persuasive Explanation of Reasoning Inferences on Dietary Data.
201911
14 202011
15 20228
16
Declare4Py: A Python Library for Declarative Process Mining
20226
17 20226
18 20215
19 20245
20 20184

About Ivan Donadello

Ivan Donadello is a scholar working on Management Information Systems, Artificial Intelligence, Health Information Management, Computer Vision and Pattern Recognition and Applied Psychology, having authored 37 papers that have together received 543 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (11 papers), Explainable Artificial Intelligence (XAI) (8 papers), Image Retrieval and Classification Techniques (4 papers), Innovation in Digital Healthcare Systems (4 papers), Logic, Reasoning, and Knowledge (4 papers), Semantic Web and Ontologies (3 papers), Multimodal Machine Learning Applications (3 papers) and Mobile Health and mHealth Applications (2 papers). The work is most often cited by research in Management Information Systems (111 citations), Artificial Intelligence (297 citations), Health Informatics (13 citations), Computer Vision and Pattern Recognition (58 citations) and Health Information Management (18 citations). Ivan Donadello has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Luciano Serafini, Mauro Dragoni, Artur d’Avila Garcez, Fabrizio Maria Maggi, Chiara Di Francescomarino, Claudio Eccher, Erik Cambria, Andreas Holzinger, Raja Chatila and Anna Saranti. Their work appears in journals such as Information Systems, Information Fusion, Business & Information Systems Engineering, ACM Computing Surveys and Artificial Intelligence in Medicine.

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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