Emilio Sulis
- Management Information Systems top 10%
- Business Process Modeling and Analysis 16
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 3
- Information Systems top 10%
- Service-Oriented Architecture and Web Services 3
-
- Simulation Techniques and Applications 5
-
- Collaboration in agile enterprises 3
-
- Artificial Intelligence in Law 3
- Co-authors
- Viviana PattiDelia Irazú Hernández FaríasGiancarlo RuffoAntonio Di LevaPaolo RossoPietro TernaIlaria Angela AmanteaRosa Meo
- Journals
- Journal of the Neurological Sciences (1 paper)Knowledge-Based Systems (1 paper)Journal of Sports Sciences (1 paper)
- Partner nations
- ItalySpainNetherlands
In The Last Decade
Emilio Sulis
36 papers receiving 313 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 10
- Management Information Systems 56
- Medical Laboratory Technology 8
- Artificial Intelligence 152
- Information Systems 62
Countries citing papers authored by Emilio Sulis
This map shows the geographic impact of Emilio Sulis'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 Emilio Sulis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilio Sulis more than expected).
Fields of papers citing papers by Emilio Sulis
This network shows the impact of papers produced by Emilio Sulis. 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 Emilio Sulis. The network helps show where Emilio Sulis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emilio Sulis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 35 | |
| 15 | Modelling Norm Types and their Inter-relationships in EU Directives | 2019 | 1 |
| 16 | 2018 | 0 | |
| 17 | A Business Process Methodology to investigate organization management: a hospital case study | 2017 | 10 |
| 18 | Process Analysis for a Hospital Emergency Department | 2017 | 6 |
| 19 | 2016 | 100 | |
| 20 | 2015 | 15 |
About Emilio Sulis
Emilio Sulis is a scholar working on Management Information Systems, Medical Laboratory Technology and Health Informatics, having authored 40 papers that have together received 327 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (16 papers), Sentiment Analysis and Opinion Mining (5 papers), Simulation Techniques and Applications (5 papers), Collaboration in agile enterprises (3 papers), Advanced Text Analysis Techniques (3 papers), Artificial Intelligence in Law (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Health Informatics (10 citations), Management Information Systems (56 citations) and Medical Laboratory Technology (8 citations). Emilio Sulis has collaborated with scholars based in Italy, Spain and Netherlands. Frequent co-authors include Viviana Patti, Delia Irazú Hernández Farías, Giancarlo Ruffo, Antonio Di Leva, Paolo Rosso, Pietro Terna, Ilaria Angela Amantea, Rosa Meo, Guido Boella and Adriana Boccuzzi. Their work appears in journals such as Journal of the Neurological Sciences, Knowledge-Based Systems and Journal of Sports Sciences.
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.