Debora Di Caprio

2.4k total citations
93 papers, 1.8k citations indexed

About

Debora Di Caprio is a scholar working on Management Science and Operations Research, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Debora Di Caprio has authored 93 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Management Science and Operations Research, 20 papers in Economics and Econometrics and 16 papers in Strategy and Management. Recurrent topics in Debora Di Caprio's work include Multi-Criteria Decision Making (28 papers), Optimization and Mathematical Programming (12 papers) and Efficiency Analysis Using DEA (11 papers). Debora Di Caprio is often cited by papers focused on Multi-Criteria Decision Making (28 papers), Optimization and Mathematical Programming (12 papers) and Efficiency Analysis Using DEA (11 papers). Debora Di Caprio collaborates with scholars based in United States, Germany and Canada. Debora Di Caprio's co-authors include Madjid Tavana, Francisco J. Santos‐Arteaga, Mohamad Amin Kaviani, Morteza Yazdani, Amir‐Reza Abtahi, Mohsen Zareinejad, Mariya Sodenkamp, Ali Ebrahimnejad, Vahid Hajipour and Alireza Fallahpour and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of the American Society of Nephrology.

In The Last Decade

Debora Di Caprio

86 papers receiving 1.7k citations

Peers

Debora Di Caprio
Özgür Kabak Türkiye
Debora Di Caprio
Citations per year, relative to Debora Di Caprio Debora Di Caprio (= 1×) peers Özgür Kabak

Countries citing papers authored by Debora Di Caprio

Since Specialization
Citations

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

Fields of papers citing papers by Debora Di Caprio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debora Di Caprio. 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 Debora Di Caprio. The network helps show where Debora Di Caprio may publish in the future.

Co-authorship network of co-authors of Debora Di Caprio

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

All Works

20 of 20 papers shown
1.
Caprio, Debora Di, et al.. (2025). A data-driven multicriteria decision model for healthcare workforce retention strategies. Healthcare Analytics. 8. 100403–100403.
2.
Caprio, Debora Di, Francisco J. Santos‐Arteaga, & Madjid Tavana. (2025). Forward-looking beyond expectations: anticipating outcomes in environments with multiattribute alternatives. IMA Journal of Management Mathematics. 37(1). 61–93.
3.
Tavana, Madjid, et al.. (2024). A total quality management action plan assessment model in supply chain management using the lean and agile scores. Journal of Innovation & Knowledge. 10(1). 100633–100633. 1 indexed citations
4.
Hajipour, Vahid, et al.. (2024). A two-stage stochastic programming model for comprehensive risk response action selection: A case study in Industry 4.0. Expert Systems with Applications. 261. 125565–125565. 5 indexed citations
5.
Caprio, Debora Di & Francisco J. Santos‐Arteaga. (2023). Uncertain interval TOPSIS and potentially regrettable decisions within ICT evaluation environments. Applied Soft Computing. 142. 110301–110301. 5 indexed citations
6.
Santos‐Arteaga, Francisco J., Madjid Tavana, & Debora Di Caprio. (2022). Information acquisition and assimilation capacities as determinants of technological niche markets. Journal of Innovation & Knowledge. 7(3). 100193–100193. 2 indexed citations
7.
Revuelta, Ignacio, Francisco J. Santos‐Arteaga, Enrique Montagud‐Marrahí, et al.. (2021). A hybrid data envelopment analysis—artificial neural network prediction model for COVID-19 severity in transplant recipients. Artificial Intelligence Review. 54(6). 4653–4684. 20 indexed citations
8.
Revuelta, Ignacio, Francisco J. Santos‐Arteaga, Enrique Montagud‐Marrahí, et al.. (2020). A Machine Learning-Based Predictive Model for Outcome of COVID-19 in Kidney Transplant Recipients. Journal of the American Society of Nephrology. 31(10S). 281–281. 1 indexed citations
9.
Santos‐Arteaga, Francisco J., Debora Di Caprio, David Cucchiari, et al.. (2020). Modeling patients as decision making units: evaluating the efficiency of kidney transplantation through data envelopment analysis. Health Care Management Science. 24(1). 55–71. 6 indexed citations
10.
Santos‐Arteaga, Francisco J., et al.. (2020). INNOVATION DYNAMICS AND FINANCIAL STABILITY: A EUROPEAN UNION PERSPECTIVE. Technological and Economic Development of Economy. 26(6). 1366–1398. 8 indexed citations
11.
Hajipour, Vahid, et al.. (2019). An optimization model for traceable closed-loop supply chain networks. Applied Mathematical Modelling. 71. 673–699. 41 indexed citations
12.
Caprio, Debora Di & Francisco J. Santos‐Arteaga. (2019). A novel perception-based DEA method to evaluate alternatives in uncertain online environments. Computers & Industrial Engineering. 131. 327–343. 4 indexed citations
13.
Tavana, Madjid, et al.. (2017). An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations. Socio-Economic Planning Sciences. 64. 21–37. 108 indexed citations
14.
Tavana, Madjid, Mohammad Izadikhah, Debora Di Caprio, & Reza Farzipoor Saen. (2017). A new dynamic range directional measure for two-stage data envelopment analysis models with negative data. Computers & Industrial Engineering. 115. 427–448. 38 indexed citations
15.
Tavana, Madjid, Alireza Fallahpour, Debora Di Caprio, & Francisco J. Santos‐Arteaga. (2016). A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection. Expert Systems with Applications. 61. 129–144. 93 indexed citations
16.
Roy, Arup, Madjid Tavana, Soumya Banerjee, & Debora Di Caprio. (2016). A secured context-aware tourism recommender system using artificial bee colony and simulated annealing. International Journal of Applied Management Science. 8(2). 93–93. 6 indexed citations
17.
Hajipour, Vahid, Parviz Fattahi, Madjid Tavana, & Debora Di Caprio. (2015). Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics. Applied Mathematical Modelling. 40(7-8). 4948–4969. 55 indexed citations
18.
Caprio, Debora Di, Francisco J. Santos‐Arteaga, & Madjid Tavana. (2014). The optimal sequential information acquisition structure: A rational utility-maximizing perspective. Applied Mathematical Modelling. 38(14). 3419–3435. 13 indexed citations
19.
Caprio, Debora Di & Francisco J. Santos‐Arteaga. (2010). Hidden Equilibria in Coordination Games with Heterogeneous Information Sets: The Case of Bank Runs. SSRN Electronic Journal.
20.
Caprio, Debora Di & Francisco J. Santos‐Arteaga. (2010). Lexicographic Preferences Induced in Asymmetric Information Environments. Communications in Mathematics and Applications. 1(1). 1–14. 3 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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