Josue Obregon
- Automotive Engineering top 10%
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- Manufacturing Process and Optimization 2
- Industrial Vision Systems and Defect Detection 2
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- Imbalanced Data Classification Techniques 2
- Machine Learning and Data Classification 2
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- Advanced Battery Materials and Technologies 2
- Advancements in Battery Materials 2
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- Business Process Modeling and Analysis 3
- Big Data and Business Intelligence 1
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)Expert Systems with Applications (1 paper)IEEE Access (1 paper)
- Partner nations
- South KoreaSingapore
In The Last Decade
Josue Obregon
10 papers receiving 208 citations
Peers
Comparison fields: 5 of 49
- Automotive Engineering 90
- Industrial and Manufacturing Engineering 29
- Artificial Intelligence 63
- Control and Systems Engineering 40
- Electrical and Electronic Engineering 93
Countries citing papers authored by Josue Obregon
This map shows the geographic impact of Josue Obregon'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 Josue Obregon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josue Obregon more than expected).
Fields of papers citing papers by Josue Obregon
This network shows the impact of papers produced by Josue Obregon. 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 Josue Obregon. The network helps show where Josue Obregon may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Josue Obregon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 37 | |
| 2 | 2023 | 89 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 18 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 25 | |
| 9 | 2019 | 8 | |
| 10 | 2014 | 3 |
About Josue Obregon
Josue Obregon is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 220 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (3 papers), Manufacturing Process and Optimization (2 papers), Advanced Battery Materials and Technologies (2 papers), Imbalanced Data Classification Techniques (2 papers), Advancements in Battery Materials (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Machine Learning and Data Classification (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Automotive Engineering (90 citations), Industrial and Manufacturing Engineering (29 citations) and Artificial Intelligence (63 citations). Josue Obregon has collaborated with scholars based in South Korea and Singapore. Frequent co-authors include Jae‐Yoon Jung, Chang Woo Lee, Chang Won Ho, Jimin Kim, Minseok Song, Kwanho Kim and Murugan Nanthagopal. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Expert Systems with Applications and IEEE Access.
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.