David Güemes‐Castorena

662 total citations
70 papers, 436 citations indexed

About

David Güemes‐Castorena is a scholar working on Management Science and Operations Research, Strategy and Management and Economics and Econometrics. According to data from OpenAlex, David Güemes‐Castorena has authored 70 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 20 papers in Strategy and Management and 13 papers in Economics and Econometrics. Recurrent topics in David Güemes‐Castorena's work include Efficiency Analysis Using DEA (16 papers), Innovation and Knowledge Management (13 papers) and Digital Transformation in Industry (6 papers). David Güemes‐Castorena is often cited by papers focused on Efficiency Analysis Using DEA (16 papers), Innovation and Knowledge Management (13 papers) and Digital Transformation in Industry (6 papers). David Güemes‐Castorena collaborates with scholars based in Mexico, United States and Canada. David Güemes‐Castorena's co-authors include Wade D. Cook, Mauricio Hincapié, Christian Díaz, Manuel Contero, Alejandro Valencia-Arías, Mario G. Beruvides, Joe Zhu, M. Á. Toro, Alberto Mendoza and Pedro Daniel Urbina Coronado and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Sensors.

In The Last Decade

David Güemes‐Castorena

59 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Güemes‐Castorena Mexico 12 84 82 78 60 60 70 436
Sam Solaimani Netherlands 15 39 0.5× 95 1.2× 303 3.9× 47 0.8× 34 0.6× 35 655
Elke den Ouden Netherlands 14 30 0.4× 43 0.5× 99 1.3× 42 0.7× 17 0.3× 47 599
Tuba Kocatürk Australia 9 11 0.1× 86 1.0× 156 2.0× 52 0.9× 30 0.5× 42 465
JeongWook Son South Korea 14 24 0.3× 450 5.5× 158 2.0× 60 1.0× 28 0.5× 41 922
Luca Simeone Denmark 12 25 0.3× 23 0.3× 135 1.7× 22 0.4× 27 0.5× 58 478
John Aliu South Africa 16 23 0.3× 197 2.4× 62 0.8× 68 1.1× 15 0.3× 101 745
Marcelo Gitirana Gomes Ferreira Brazil 10 17 0.2× 26 0.3× 188 2.4× 105 1.8× 32 0.5× 63 802
Amir Shaygan United States 9 27 0.3× 48 0.6× 41 0.5× 16 0.3× 30 0.5× 22 357
Mariana Iatagan Romania 9 64 0.8× 104 1.3× 47 0.6× 93 1.6× 29 0.5× 14 488
Mengqi Yuan China 11 26 0.3× 192 2.3× 74 0.9× 43 0.7× 15 0.3× 21 491

Countries citing papers authored by David Güemes‐Castorena

Since Specialization
Citations

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

Fields of papers citing papers by David Güemes‐Castorena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Güemes‐Castorena. 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 David Güemes‐Castorena. The network helps show where David Güemes‐Castorena may publish in the future.

Co-authorship network of co-authors of David Güemes‐Castorena

This figure shows the co-authorship network connecting the top 25 collaborators of David Güemes‐Castorena. A scholar is included among the top collaborators of David Güemes‐Castorena 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 David Güemes‐Castorena. David Güemes‐Castorena 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.
2.
Cook, Wade D., et al.. (2024). Measuring efficiency in tourism: A problem of shared factors and multiple attributes in DEA. Socio-Economic Planning Sciences. 98. 102117–102117. 2 indexed citations
3.
Güemes‐Castorena, David, et al.. (2024). Trust and distrust coexistence and change in the adoption of an emerging technology in organizations. Computers in Human Behavior Reports. 16. 100503–100503.
4.
5.
Güemes‐Castorena, David, et al.. (2023). Evaluation of Decentralized Manufacturing via System Dynamics Simulation: A Review of the State-of-the-art. 1–9. 1 indexed citations
6.
Güemes‐Castorena, David, et al.. (2023). A State-Level Analysis of Mexican Education and Its Impact on Regional, Economic, and Social Development: Two-Stage Network DEA Approach. Journal on Efficiency and Responsibility in Education and Science. 16(4). 275–286. 2 indexed citations
7.
Güemes‐Castorena, David, et al.. (2023). TOWARDS A BETTER HUMAN CENTRE DESIGN PRACTICE IN AN ACADEMIC CONTEXT. 1 indexed citations
8.
Güemes‐Castorena, David, et al.. (2022). A System Dynamic-based Archetype for Capital Leasing of Industrial Robots. 1–20. 2 indexed citations
9.
Cook, Wade D., et al.. (2021). Modelling efficiency in the presence of shared inputs within groups of DMUs. Journal of the Operational Research Society. 73(9). 1961–1977. 4 indexed citations
10.
Hincapié, Mauricio, et al.. (2021). Augmented reality mobile apps for cultural heritage reactivation. Computers & Electrical Engineering. 93. 107281–107281. 37 indexed citations
11.
Güemes‐Castorena, David, et al.. (2020). Ambidexterity in the supply chain: studying the apparel industry. International Journal of Agile Systems and Management. 13(2). 130–130. 14 indexed citations
12.
Cook, Wade D., et al.. (2019). Measuring efficiency in DEA in the presence of common inputs. Journal of the Operational Research Society. 71(11). 1710–1722. 8 indexed citations
13.
Ahuett‐Garza, Horacio, et al.. (2019). A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment. Sensors. 19(15). 3304–3304. 12 indexed citations
14.
Güemes‐Castorena, David, et al.. (2016). Identification of key factors of academia in the process of linking in the triple helix of innovation model in Mexico, a state of the art matrix. SHILAP Revista de lepidopterología. 5 indexed citations
15.
Güemes‐Castorena, David, et al.. (2016). Methodology for the of building process integration of Business Model Canvas and Technological Roadmap. Technological Forecasting and Social Change. 110. 213–225. 7 indexed citations
16.
Güemes‐Castorena, David, et al.. (2014). Evaluation tool for technological project selection in the early stage of innovation: Experiences from the development of the application in a technology transfer office. Portland International Conference on Management of Engineering and Technology. 2836–2842. 2 indexed citations
17.
Güemes‐Castorena, David, et al.. (2013). Technological project portfolio selection in the front end of innovation for a Higher Education Institute: The development of an evaluation tool. Portland International Conference on Management of Engineering and Technology. 1811–1818. 2 indexed citations
18.
Güemes‐Castorena, David, et al.. (2013). Asphalt global market analyst - Consumption, demand & industry forecast. Portland International Conference on Management of Engineering and Technology. 2181–2187. 1 indexed citations
19.
Güemes‐Castorena, David, et al.. (2012). Technological foresight model for the identification of business opportunities (TEFMIBO). Portland International Conference on Management of Engineering and Technology. 1299–1313. 1 indexed citations
20.
Rodríguez-Salvador, Marisela, et al.. (2011). Representación de los elementos de un Sistema Nacional de Innovación mediante el Modelo de Sistema Sustentable. 49–57. 2 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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