Elisabetta Benevento

625 total citations
16 papers, 190 citations indexed

About

Elisabetta Benevento is a scholar working on Management Information Systems, Emergency Medical Services and Management Science and Operations Research. According to data from OpenAlex, Elisabetta Benevento has authored 16 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 5 papers in Emergency Medical Services and 4 papers in Management Science and Operations Research. Recurrent topics in Elisabetta Benevento's work include Business Process Modeling and Analysis (5 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Emergency and Acute Care Studies (3 papers). Elisabetta Benevento is often cited by papers focused on Business Process Modeling and Analysis (5 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Emergency and Acute Care Studies (3 papers). Elisabetta Benevento collaborates with scholars based in Italy, Lithuania and Germany. Elisabetta Benevento's co-authors include Davide Aloini, Alessandro Stefanini, Pierluigi Zerbino, Riccardo Dulmin, Valeria Mininno, Wil M. P. van der Aalst, Cristina Ponsiglione, Grazia Antonacci, Lorella Cannavacciuolo and Emanuela Foglia and has published in prestigious journals such as Journal of Business Research, International Journal of Information Management and Technovation.

In The Last Decade

Elisabetta Benevento

14 papers receiving 185 citations

Peers

Elisabetta Benevento

MIS

MSOR

IME

Andrew Partington Australia

Abhijith Anand Australia

Rob J. B. Vanwersch Netherlands

Görkem Sarıyer Türkiye

Christian Wernz United States

Jayakanth Srinivasan United States

Michael Arias Chile

Julie Eatock United Kingdom

Michele Samorani United States

Peter Weimann Germany

Andrew Partington Australia

Elisabetta Benevento

107 ×1.6

MIS

60 ×1.4

44 ×1.3

41 ×1.4

MSOR

20 ×0.8

IME

Citations per year, relative to Elisabetta Benevento Elisabetta Benevento (= 1×) peers Andrew Partington

Countries citing papers authored by Elisabetta Benevento

Since Specialization

Citations

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

Fields of papers citing papers by Elisabetta Benevento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Benevento

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Benevento. A scholar is included among the top collaborators of Elisabetta Benevento 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 Elisabetta Benevento. Elisabetta Benevento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Aloini, Davide, et al.. (2025). Predicting radiology service times for enhancing emergency department management. Socio-Economic Planning Sciences. 99. 102208–102208.

Aloini, Davide, et al.. (2024). Unlocking Real-Time Decision-Making in Warehouses: A machine learning-based forecasting and alerting system for cycle time prediction. Transportation Research Part E Logistics and Transportation Review. 194. 103933–103933. 2 indexed citations

Schuster, Daniel, Elisabetta Benevento, Davide Aloini, & Wil M. P. van der Aalst. (2024). Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application. PubMed. 8(3). 523–554. 3 indexed citations

Benevento, Elisabetta, et al.. (2024). The impact of influencers on brand social network growth: Insights from new product launch events on Twitter. Journal of Business Research. 189. 115123–115123. 3 indexed citations

Benevento, Elisabetta, Alessandro Stefanini, Davide Aloini, et al.. (2024). Understanding information security awareness: evidence from the public healthcare sector. Information and Computer Security. 33(3). 309–319.

Antonacci, Grazia, Elisabetta Benevento, Lorella Cannavacciuolo, et al.. (2023). Healthcare professional and manager perceptions on drivers, benefits, and challenges of telemedicine: results from a cross-sectional survey in the Italian NHS. BMC Health Services Research. 23(1). 1115–1115. 17 indexed citations

Benevento, Elisabetta, Alessandro Stefanini, Davide Aloini, Riccardo Dulmin, & Valeria Mininno. (2023). Beyond Digital Technologies: Investigating the Barriers to Supply Chain Integration of Healthcare Organizations. IEEE Transactions on Engineering Management. 71. 13660–13672. 11 indexed citations

Benevento, Elisabetta, Davide Aloini, & Wil M. P. van der Aalst. (2022). How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare. Journal of Biomedical Informatics. 130. 104083–104083. 9 indexed citations

Aloini, Davide, Elisabetta Benevento, Alessandro Stefanini, & Pierluigi Zerbino. (2022). Transforming healthcare ecosystems through blockchain: Opportunities and capabilities for business process innovation. Technovation. 119. 102557–102557. 39 indexed citations

10.

Benevento, Elisabetta, et al.. (2021). Towards a real-time prediction of waiting times in emergency departments: A comparative analysis of machine learning techniques. International Journal of Forecasting. 39(1). 192–208. 15 indexed citations

11.

Stefanini, Alessandro, Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, & Valeria Mininno. (2020). A process mining methodology for modeling unstructured processes. Knowledge and Process Management. 27(4). 294–310. 10 indexed citations

12.

Stefanini, Alessandro, Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, & Valeria Mininno. (2019). A data-driven methodology for supporting resource planning of health services. Socio-Economic Planning Sciences. 70. 100744–100744. 18 indexed citations

13.

Benevento, Elisabetta, et al.. (2019). Queue-based features for dynamic waiting time prediction in emergency department. Measuring Business Excellence. 23(4). 458–471. 12 indexed citations

14.

Aloini, Davide, Elisabetta Benevento, & Alessandro Stefanini. (2019). CONCEPTUAL DESIGN OF A TOOL SUPPORTING THE "LAST MILE" LOGISTICS IN HOSPITALS. 245–249. 2 indexed citations

15.

Aloini, Davide, Elisabetta Benevento, Alessandro Stefanini, & Pierluigi Zerbino. (2019). Process fragmentation and port performance: Merging SNA and text mining. International Journal of Information Management. 51. 101925–101925. 23 indexed citations

16.

Stefanini, Alessandro, Davide Aloini, Elisabetta Benevento, Riccardo Dulmin, & Valeria Mininno. (2018). Performance analysis in emergency departments: a data-driven approach. Measuring Business Excellence. 22(2). 130–145. 26 indexed citations

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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