Elia El‐Darzi

1.1k total citations
37 papers, 690 citations indexed

About

Elia El‐Darzi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Information Systems. According to data from OpenAlex, Elia El‐Darzi has authored 37 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Management Information Systems. Recurrent topics in Elia El‐Darzi's work include Healthcare Operations and Scheduling Optimization (6 papers), Neural Networks and Applications (6 papers) and Artificial Intelligence in Healthcare (5 papers). Elia El‐Darzi is often cited by papers focused on Healthcare Operations and Scheduling Optimization (6 papers), Neural Networks and Applications (6 papers) and Artificial Intelligence in Healthcare (5 papers). Elia El‐Darzi collaborates with scholars based in United Kingdom, Romania and China. Elia El‐Darzi's co-authors include Christos Vasilakis, Dylan Jones, A.H. Marshall, Peter H. Millard, Thierry Chaussalet, Gautam Mitra, Marina Gorunescu, Florin Gorunescu, Peter Millard and Lei Lei and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Journal of the Association for Information Systems.

In The Last Decade

Elia El‐Darzi

34 papers receiving 644 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elia El‐Darzi United Kingdom 13 244 154 149 122 121 37 690
Sondès Chaabane France 12 353 1.4× 93 0.6× 78 0.5× 106 0.9× 155 1.3× 26 767
Talal M. Alkhamis Kuwait 13 215 0.9× 76 0.5× 77 0.5× 47 0.4× 98 0.8× 24 694
Christian Tahón France 13 68 0.3× 116 0.8× 54 0.4× 123 1.0× 74 0.6× 43 614
Rosita Guido Italy 16 626 2.6× 88 0.6× 132 0.9× 34 0.3× 251 2.1× 40 1.0k
Roberto Aringhieri Italy 20 374 1.5× 175 1.1× 51 0.3× 71 0.6× 225 1.9× 60 1.3k
Nadine Meskens Belgium 15 701 2.9× 124 0.8× 76 0.5× 39 0.3× 249 2.1× 60 1.1k
Nilay Tanık Argon United States 15 261 1.1× 26 0.2× 113 0.8× 44 0.4× 185 1.5× 39 742
Hainan Guo China 11 112 0.5× 88 0.6× 104 0.7× 27 0.2× 81 0.7× 27 450
Nadia Lahrichi Canada 15 229 0.9× 105 0.7× 59 0.4× 83 0.7× 64 0.5× 50 1.2k
Jeffery K. Cochran United States 24 342 1.4× 92 0.6× 192 1.3× 117 1.0× 178 1.5× 72 1.5k

Countries citing papers authored by Elia El‐Darzi

Since Specialization
Citations

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

Fields of papers citing papers by Elia El‐Darzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elia El‐Darzi. 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 Elia El‐Darzi. The network helps show where Elia El‐Darzi may publish in the future.

Co-authorship network of co-authors of Elia El‐Darzi

This figure shows the co-authorship network connecting the top 25 collaborators of Elia El‐Darzi. A scholar is included among the top collaborators of Elia El‐Darzi 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 Elia El‐Darzi. Elia El‐Darzi 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.
Teow, Kiok Liang, et al.. (2011). Intelligent Analysis of Acute Bed Overflow in a Tertiary Hospital in Singapore. Journal of Medical Systems. 36(3). 1873–1882. 21 indexed citations
2.
Belciug, Smaranda & Elia El‐Darzi. (2010). A partially connected neural network-based approach with application to breast cancer detection and recurrence. WestminsterResearch (University of Westminster). 191–196. 9 indexed citations
3.
Gorunescu, Florin, et al.. (2010). A statistical framework for evaluating neural networks to predict recurrent events in breast cancer. International Journal of General Systems. 39(5). 471–488. 11 indexed citations
4.
Garg, Lalit, Sally McClean, Brian J. Meenan, Elia El‐Darzi, & Peter Millard. (2009). Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. WestminsterResearch (University of Westminster). 1–7. 21 indexed citations
5.
El‐Darzi, Elia, et al.. (2009). Using Granular Computing theories for service-oriented systems analysis and design. WestminsterResearch (University of Westminster). 2870. 264–267.
6.
Stoean, Ruxandra, Mike Preuß, Cătălin Stoean, Elia El‐Darzi, & D. Dumitrescu. (2008). Support vector machine learning with an evolutionary engine. Journal of the Operational Research Society. 60(8). 1116–1122. 15 indexed citations
7.
El‐Darzi, Elia, et al.. (2008). A Gaussian Mixture Model Approach to Grouping Patients According to their Hospital Length of Stay. WestminsterResearch (University of Westminster). 30. 524–529. 8 indexed citations
8.
El‐Darzi, Elia, et al.. (2008). Length of stay based grouping and classification methodology for modelling patient flow. UCL Discovery (University College London). 2(2). 1–9. 4 indexed citations
9.
El‐Darzi, Elia, et al.. (2006). Agent-based Models for Community Care Systems Analysis and Design. WestminsterResearch (University of Westminster). 278–283. 2 indexed citations
10.
Shannon, A. G., Elia El‐Darzi, Evdokia Sotirova, et al.. (2005). Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
11.
Marshall, A.H., Christos Vasilakis, & Elia El‐Darzi. (2005). Length of Stay-Based Patient Flow Models: Recent Developments and Future Directions. Health Care Management Science. 8(3). 213–220. 109 indexed citations
12.
El‐Darzi, Elia, et al.. (2004). Comparative Analysis of Data Mining Algorithms for Predicting Inpatient Length of Stay.. Journal of the Association for Information Systems. 86. 8 indexed citations
13.
Vasilakis, Christos, et al.. (2004). A data warehouse environment for storing and analyzing simulation output data. Winter Simulation Conference. 1. 703–710. 5 indexed citations
14.
Vasilakis, Christos, et al.. (2003). Data cube modelling and OLAP algebra for hospital length of stay analysis. WestminsterResearch (University of Westminster). 1 indexed citations
15.
Vasilakis, Christos & Elia El‐Darzi. (2001). A simulation study of the winter bed crisis. Health Care Management Science. 4(1). 31–36. 41 indexed citations
16.
Chaussalet, Thierry, Peter H. Millard, & Elia El‐Darzi. (1998). Evaluating the costs of alternative options for dementia services. Health Care Management Science. 1(2). 125–131. 2 indexed citations
17.
El‐Darzi, Elia, Christos Vasilakis, Thierry Chaussalet, & Peter H. Millard. (1998). A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department. Health Care Management Science. 1(2). 143–149. 136 indexed citations
18.
Giannikos, Ioannis, et al.. (1995). An Integer Goal Programming Model to Allocate Offices to Staff in an Academic Institution. Journal of the Operational Research Society. 46(6). 713–720. 10 indexed citations
19.
El‐Darzi, Elia & Gautam Mitra. (1990). Set covering and set partitioning: A collection of test problems. Omega. 18(2). 195–201. 11 indexed citations
20.
El‐Darzi, Elia. (1989). Programming in Networks and Graphs. Journal of the Operational Research Society. 40(9). 834–834. 1 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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