Iván Garibay
Impact in
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- Entrepreneurship Studies and Influences
Papers in
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- Evolutionary Algorithms and Applications 11
- Metaheuristic Optimization Algorithms Research 5
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- Complex Network Analysis Techniques 14
- Opinion Dynamics and Social Influence 10
- Co-authors
- Annie S. Wu (10 shared papers)Alexander V. Mantzaris (6 shared papers)Cameron M. Ford (1 shared paper)Stephen A. Sivo (1 shared paper)Özlem Özmen Garibay (9 shared papers)William Rand (7 shared papers)Gita Sukthankar (2 shared papers)Mualla Öner (1 shared paper)
- Journals
- Genetic Programming and Evolvable Machines (3 papers)Journal of Artificial Societies and Social Simulation (3 papers)Journal of Cleaner Production (2 papers)Scientific Reports (2 papers)Big Data and Cognitive Computing (1 paper)
- Partner nations
- United StatesJordanOman
In The Last Decade
Iván Garibay
47 papers receiving 381 citations
Peers
Comparison fields: 5 of 81
- Management of Technology and Innovation 71
- Business and International Management 12
- Communication 39
- Computer Science Applications 21
- Statistical and Nonlinear Physics 45
Countries citing papers authored by Iván Garibay
This map shows the geographic impact of Iván Garibay'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 Iván Garibay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Garibay more than expected).
Fields of papers citing papers by Iván Garibay
This network shows the impact of papers produced by Iván Garibay. 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 Iván Garibay. The network helps show where Iván Garibay may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Garibay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 80 | |
| 2 | 2021 | 62 | |
| 3 | 2002 | 31 | |
| 4 | 2019 | 29 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2004 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 5 |
About Iván Garibay
Iván Garibay is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Communication and Computer Science Applications, having authored 50 papers that have together received 406 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Evolutionary Algorithms and Applications (11 papers), Opinion Dynamics and Social Influence (10 papers), Social Media and Politics (6 papers), Misinformation and Its Impacts (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Innovation Diffusion and Forecasting (4 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Management of Technology and Innovation (71 citations), Business and International Management (12 citations), Communication (39 citations), Computer Science Applications (21 citations) and Statistical and Nonlinear Physics (45 citations). Iván Garibay has collaborated with scholars based in United States, Jordan and Oman. Frequent co-authors include Annie S. Wu, Alexander V. Mantzaris, Cameron M. Ford, Stephen A. Sivo, Özlem Özmen Garibay, William Rand, Gita Sukthankar, Mualla Öner, Joshua M. Epstein and Erez Hatna. Their work appears in journals such as Genetic Programming and Evolvable Machines, Journal of Artificial Societies and Social Simulation, Journal of Cleaner Production, Scientific Reports and Big Data and Cognitive Computing.
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.