Andrés D. González

1.1k total citations
51 papers, 750 citations indexed

About

Andrés D. González is a scholar working on Civil and Structural Engineering, Organizational Behavior and Human Resource Management and Strategy and Management. According to data from OpenAlex, Andrés D. González has authored 51 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 13 papers in Organizational Behavior and Human Resource Management and 12 papers in Strategy and Management. Recurrent topics in Andrés D. González's work include Infrastructure Resilience and Vulnerability Analysis (26 papers), Facility Location and Emergency Management (13 papers) and Supply Chain Resilience and Risk Management (9 papers). Andrés D. González is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (26 papers), Facility Location and Emergency Management (13 papers) and Supply Chain Resilience and Risk Management (9 papers). Andrés D. González collaborates with scholars based in United States, Colombia and Saudi Arabia. Andrés D. González's co-authors include Kash Barker, Leonardo Dueñas‐Osorio, Andrés L. Medaglia, Mauricio Sánchez‐Silva, Yasser Almoghathawi, Raissa M. D’Souza, Shima Mohebbi, Mehran Mesbahi, Airlie Chapman and Sridhar Radhakrishnan and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Andrés D. González

47 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrés D. González United States 12 544 172 158 156 155 51 750
Yasser Almoghathawi Saudi Arabia 10 403 0.7× 127 0.7× 125 0.8× 114 0.7× 65 0.4× 21 551
Reza Faturechi United States 7 804 1.5× 98 0.6× 235 1.5× 227 1.5× 181 1.2× 10 1.1k
Burak Çavdaroğlu Türkiye 6 317 0.6× 94 0.5× 99 0.6× 71 0.5× 142 0.9× 9 426
Kenneth G. Crowther United States 11 580 1.1× 143 0.8× 301 1.9× 221 1.4× 42 0.3× 24 777
Henrik Hassel Sweden 11 453 0.8× 139 0.8× 234 1.5× 185 1.2× 27 0.2× 38 768
Tom Petersen Germany 5 390 0.7× 52 0.3× 89 0.6× 89 0.6× 70 0.5× 17 649
Devanandham Henry United States 9 625 1.1× 219 1.3× 318 2.0× 147 0.9× 36 0.2× 17 956
Jiang Pu France 6 396 0.7× 116 0.7× 185 1.2× 123 0.8× 38 0.2× 6 540
Chenyang Lian United States 6 589 1.1× 136 0.8× 287 1.8× 207 1.3× 39 0.3× 6 700
Cen Nan Switzerland 9 559 1.0× 345 2.0× 254 1.6× 145 0.9× 17 0.1× 11 886

Countries citing papers authored by Andrés D. González

Since Specialization
Citations

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

Fields of papers citing papers by Andrés D. González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrés D. González. 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 Andrés D. González. The network helps show where Andrés D. González may publish in the future.

Co-authorship network of co-authors of Andrés D. González

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés D. González. A scholar is included among the top collaborators of Andrés D. González 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 Andrés D. González. Andrés D. González 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.
Barker, Kash, et al.. (2025). Optimizing climate-induced migration: A temporal multi-layer network approach. International Journal of Disaster Risk Reduction. 117. 105172–105172.
2.
González, Andrés D., et al.. (2025). Two-stage robust optimization approach for enhanced community resilience under tornado hazards. European Journal of Operational Research. 325(3). 525–540. 1 indexed citations
3.
Barker, Kash, et al.. (2025). Infrastructure network protection under uncertain impacts of weaponized disinformation campaigns. Physica A Statistical Mechanics and its Applications. 660. 130365–130365. 4 indexed citations
4.
Barker, Kash, Elena Bessarabova, Sridhar Radhakrishnan, et al.. (2025). Risk analysis of disinformation weaponized against critical networks. Risk Analysis. 45(12). 4088–4096.
5.
González, Andrés D., et al.. (2024). A Max–Min Fairness-Inspired Approach to Enhance the Performance of Multimodal Transportation Networks. Sustainability. 16(12). 4914–4914. 5 indexed citations
6.
González, Andrés D., et al.. (2024). A fairness-based multi-objective distribution and restoration model for enhanced resilience of supply chain transportation networks. Reliability Engineering & System Safety. 251. 110314–110314. 17 indexed citations
7.
Barker, Kash, et al.. (2024). Two-stage stochastic program for environmental resettlement decision-making. Socio-Economic Planning Sciences. 93. 101875–101875. 1 indexed citations
8.
Rocco, Claudio M., et al.. (2024). A psychological network analysis of the relationship among component importance measures. Applied Network Science. 9(1). 3 indexed citations
9.
Radhakrishnan, Sridhar, et al.. (2024). Maintaining the Giant Component in Networks With Edge Weighted Augmentation Given Causal Failures. IEEE Access. 12. 136588–136598.
10.
Barker, Kash, et al.. (2023). Weaponized disinformation spread and its impact on multi-commodity critical infrastructure networks. Reliability Engineering & System Safety. 243. 109819–109819. 11 indexed citations
11.
González, Andrés D., et al.. (2023). Multi-objective optimization of mitigation strategies for buildings subject to multiple hazards. International Journal of Disaster Risk Reduction. 100. 104125–104125. 10 indexed citations
12.
Ahmed, Ramadan, et al.. (2023). Applications of Machine Learning Methods to Predict Hole Cleaning in Horizontal and Highly Deviated Wells. SPE Drilling & Completion. 38(4). 606–617. 4 indexed citations
13.
Barker, Kash, et al.. (2023). Analyzing the tradeoff between vulnerability and recoverability investments for interdependent infrastructure networks. Socio-Economic Planning Sciences. 87. 101508–101508. 3 indexed citations
14.
Soltanisehat, Leili, Andrés D. González, & Kash Barker. (2022). Modeling social, economic, and health perspectives for optimal pandemic policy decision-making. Socio-Economic Planning Sciences. 86. 101472–101472. 1 indexed citations
15.
Barker, Kash, et al.. (2022). Protecting infrastructure performance from disinformation attacks. Scientific Reports. 12(1). 12707–12707. 11 indexed citations
16.
Almoghathawi, Yasser, Andrés D. González, & Kash Barker. (2021). Exploring Recovery Strategies for Optimal Interdependent Infrastructure Network Resilience. Networks and Spatial Economics. 21(1). 229–260. 29 indexed citations
17.
18.
González, Andrés D., et al.. (2020). Protection-interdiction-restoration: Tri-level optimization for enhancing interdependent network resilience. Reliability Engineering & System Safety. 199. 106907–106907. 79 indexed citations
19.
González, Andrés D., et al.. (2019). Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery. Risk Analysis. 39(9). 1913–1929. 25 indexed citations
20.
González, Andrés D., et al.. (2018). Work crew routing problem for infrastructure network restoration. Transportation Research Part B Methodological. 118. 66–89. 63 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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