F. C. Lario

20 papers receiving 628 citations

Hit Papers

Models for production planning under uncertainty: A review20062026201220192006100200300400

Peers

F. C. Lario
Comparison fields: 5 of 68
  • Management Information Systems 400
  • Industrial and Manufacturing Engineering 220
  • Strategy and Management 197
  • Management Science and Operations Research 181
  • Control and Systems Engineering 145
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Dan Shunk United States
Chun‐Chin Wei Taiwan
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Janet Efstathiou United Kingdom
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Countries citing papers authored by F. C. Lario

Since Specialization
Citations

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

Fields of papers citing papers by F. C. Lario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. C. Lario. 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 F. C. Lario. The network helps show where F. C. Lario may publish in the future.

Co-authorship network of co-authors of F. C. Lario

This figure shows the co-authorship network connecting the top 25 collaborators of F. C. Lario. A scholar is included among the top collaborators of F. C. Lario 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 F. C. Lario. F. C. Lario 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
#WorkIndexed citations
1 4
2 14
3 2
4 21
5 1
6 1
7
SCAMM-CPA: A supply chain agent-based modelling methodology that supports a collaborative planning process
14
8
Planificación agregada en cadenas de suministro del sector cerámico
1
9 19
10 38
11 6
12 9
13 5
14
Models for production planning under uncertainty: A reviewbreakdown →
455
15 1
16 7
17 4
18
Unificación de problemas de secuencias regulares en cargas de trabajo y consumo de componentes para función objetivo de dicrepancias cuadráticas
0
19 44
20 17

About F. C. Lario

F. C. Lario is a scholar working on Management Information Systems, Management of Technology and Innovation and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 666 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (7 papers), Business Process Modeling and Analysis (6 papers) and Quality and Supply Management (6 papers). The work is most often cited by research in Management Information Systems (400 citations), Industrial and Manufacturing Engineering (220 citations) and Management Science and Operations Research (181 citations). F. C. Lario has collaborated with scholars based in Spain, Cuba and Puerto Rico. Frequent co-authors include Raúl Poler, Josefa Mula, José P. García-Sabater, Ángel Ortíz, Lorenzo Ros McDonnell, Jorge E. Hernández, M. M. E. Alemany, Faustino Alarcón Valero, José Luis Pontijas Calderón and Guy Doumeingts. Their work appears in journals such as International Journal of Production Economics, Computers in Industry and Production Planning & Control.

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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