Fermín Mallor

1.9k total citations
75 papers, 1.3k citations indexed

About

Fermín Mallor is a scholar working on Emergency Medical Services, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Fermín Mallor has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Emergency Medical Services, 15 papers in Management Science and Operations Research and 11 papers in Economics and Econometrics. Recurrent topics in Fermín Mallor's work include Healthcare Operations and Scheduling Optimization (23 papers), Advanced Queuing Theory Analysis (8 papers) and Healthcare Policy and Management (8 papers). Fermín Mallor is often cited by papers focused on Healthcare Operations and Scheduling Optimization (23 papers), Advanced Queuing Theory Analysis (8 papers) and Healthcare Policy and Management (8 papers). Fermín Mallor collaborates with scholars based in Spain, United States and Belgium. Fermín Mallor's co-authors include Edward Omey, Teresa León, Martín Gastón, Armando Malanda, Míkel Izquierdo, Miriam González‐Izal, Esteban M. Gorostiaga, Ion Navarro-Amézqueta, Javier Ibáñez and Pedro M. Mateo and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Medicine & Science in Sports & Exercise.

In The Last Decade

Fermín Mallor

71 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fermín Mallor Spain 23 212 200 179 178 155 75 1.3k
Pradip Kumar Ray India 18 165 0.8× 92 0.5× 213 1.2× 162 0.9× 57 0.4× 89 1.8k
Bernard C. Jiang Taiwan 22 172 0.8× 23 0.1× 41 0.2× 27 0.2× 98 0.6× 80 1.3k
Liming Xiang Singapore 20 117 0.6× 54 0.3× 231 1.3× 7 0.0× 178 1.1× 86 1.6k
Fadel M. Megahed United States 24 236 1.1× 100 0.5× 144 0.8× 10 0.1× 274 1.8× 71 2.1k
Arnab Majumdar United Kingdom 26 71 0.3× 292 1.5× 59 0.3× 11 0.1× 112 0.7× 171 2.1k
Doug Creighton Australia 21 49 0.2× 70 0.3× 1.1k 6.4× 5 0.0× 872 5.6× 100 2.7k
Mei‐Ling Huang Taiwan 25 189 0.9× 18 0.1× 313 1.7× 3 0.0× 323 2.1× 117 1.9k
Michael E. Cholette Australia 23 49 0.2× 155 0.8× 297 1.7× 8 0.0× 196 1.3× 89 1.5k
Mahmood M. Salih Iraq 19 172 0.8× 13 0.1× 118 0.7× 10 0.1× 236 1.5× 42 1.6k
M. Mazumdar United States 21 164 0.8× 678 3.4× 858 4.8× 45 0.3× 104 1.8k

Countries citing papers authored by Fermín Mallor

Since Specialization
Citations

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

Fields of papers citing papers by Fermín Mallor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fermín Mallor

This figure shows the co-authorship network connecting the top 25 collaborators of Fermín Mallor. A scholar is included among the top collaborators of Fermín Mallor 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 Fermín Mallor. Fermín Mallor 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.
Mateo, Pedro M., et al.. (2024). The optimal container selection problem for parts transportation in the automotive sector. Expert Systems with Applications. 247. 123321–123321.
2.
Gastón, Martín, et al.. (2024). Early detection of new pandemic waves. Control chart and a new surveillance index. PLoS ONE. 19(2). e0295242–e0295242. 2 indexed citations
3.
Mallor, Fermín, et al.. (2023). Acuity-based rotational patient-to-physician assignment in an emergency department using electronic health records in triage. Health Informatics Journal. 29(2). 1207652806–1207652806. 3 indexed citations
4.
Sucunza, Alfredo Echarri, et al.. (2023). Police as first reponders improve out-of-hospital cardiac arrest survival. BMC Emergency Medicine. 23(1). 102–102. 1 indexed citations
5.
Mallor, Fermín, et al.. (2021). Hospital preparedness during epidemics using simulation: the case of COVID-19. Central European Journal of Operations Research. 30(1). 213–249. 34 indexed citations
6.
Mallor, Fermín, et al.. (2018). Analysing the ED patient flow management problem by using accumulating priority queues and simulation-based optimization. Winter Simulation Conference. 2107–2118. 1 indexed citations
7.
Mallor, Fermín, et al.. (2015). Optimal control of ICU patient discharge: from theory to implementation. Health Care Management Science. 18(3). 234–250. 13 indexed citations
8.
León, Teresa, et al.. (2014). A functional approach to monitor and recognize patterns of daily traffic profiles. Transportation Research Part B Methodological. 65. 119–136. 54 indexed citations
9.
Giménez, Cristina Mallor, et al.. (2011). Characterization of genetic resources of onion (Allium cepa L.) from the Spanish secondary centre of diversity. Spanish Journal of Agricultural Research. 9(1). 144–155. 22 indexed citations
10.
Mallor, Fermín, et al.. (2011). A mathematical model for simulating daily bed occupancy in an intensive care unit*. Critical Care Medicine. 40(4). 1098–1104. 43 indexed citations
11.
Izquierdo, Míkel, Miriam González‐Izal, Ion Navarro-Amézqueta, et al.. (2010). Effects of Strength Training on Muscle Fatigue Mapping from Surface EMG and Blood Metabolites. Medicine & Science in Sports & Exercise. 43(2). 303–311. 46 indexed citations
12.
González‐Izal, Miriam, Ignacio Rodríguez, Armando Malanda, et al.. (2010). sEMG wavelet-based indices predicts muscle power loss during dynamic contractions. Journal of Electromyography and Kinesiology. 20(6). 1097–1106. 37 indexed citations
13.
14.
González‐Izal, Miriam, Armando Malanda, Ion Navarro-Amézqueta, et al.. (2009). EMG spectral indices and muscle power fatigue during dynamic contractions. Journal of Electromyography and Kinesiology. 20(2). 233–240. 156 indexed citations
15.
Gastón, Martín, Teresa León, & Fermín Mallor. (2008). Functional data analysis for non homogeneous Poisson processes. Winter Simulation Conference. 337–343.
16.
Mallor, Fermín, et al.. (2008). Multiobjective Optimization in Health Care Management. A metaheuristic and simulation approach.. 3(2). 186–202. 7 indexed citations
17.
Mallor, Fermín, et al.. (2008). Expert Judgment‐Based Risk Assessment Using Statistical Scenario Analysis: A Case Study—Running the Bulls in Pamplona (Spain). Risk Analysis. 28(4). 1003–1019. 6 indexed citations
18.
Rodríguez, Ignacio, Armando Malanda, Fermín Mallor, et al.. (2007). Motor Unit Action Potential Duration, II: A New Automatic Measurement Method Based on the Wavelet Transform. Journal of Clinical Neurophysiology. 24(1). 59–69. 6 indexed citations
19.
Rodríguez, Ignacio, Armando Malanda, Fermín Mallor, et al.. (2007). Motor Unit Action Potential Duration, I: Variability of Manual and Automatic Measurements. Journal of Clinical Neurophysiology. 24(1). 52–58. 14 indexed citations
20.

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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