Audine Subias
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Management Information Systems top 10%
- Co-authors
- Yannick PencoléLouise Travé-MassuyèsJosé AguilarErnesto ExpósitoCorinne AlonsoFernando JiménezÉric ZamaïR. Pons
- Topics
- Petri Nets in System Modeling (19 papers)Business Process Modeling and Analysis (14 papers)Formal Methods in Verification (12 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsMedical Laboratory Technology
In The Last Decade
Audine Subias
38 papers receiving 364 citations
Peers
Comparison fields: 5 of 66
- Computational Theory and Mathematics 113
- Artificial Intelligence 112
- Control and Systems Engineering 100
- Industrial and Manufacturing Engineering 91
- Management Information Systems 51
Countries citing papers authored by Audine Subias
This map shows the geographic impact of Audine Subias'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 Audine Subias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audine Subias more than expected).
Fields of papers citing papers by Audine Subias
This network shows the impact of papers produced by Audine Subias. 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 Audine Subias. The network helps show where Audine Subias may publish in the future.
Co-authorship network of co-authors of Audine Subias
This figure shows the co-authorship network connecting the top 25 collaborators of Audine Subias. A scholar is included among the top collaborators of Audine Subias 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 Audine Subias. Audine Subias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 38 | |
| 5 | 23 | |
| 6 | 6 | |
| 7 | 20 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 23 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 3 |
About Audine Subias
Audine Subias is a scholar working on Management Information Systems, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 42 papers that have together received 375 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (19 papers), Business Process Modeling and Analysis (14 papers) and Formal Methods in Verification (12 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (91 citations), Computational Theory and Mathematics (113 citations) and Medical Laboratory Technology (9 citations). Audine Subias has collaborated with scholars based in France, Venezuela and Colombia. Frequent co-authors include Yannick Pencolé, Louise Travé-Massuyès, José Aguilar, Ernesto Expósito, Corinne Alonso, Fernando Jiménez, Éric Zamaï, Corinne Alonso, R. Pons and Marcos Da Silveira. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Engineering Applications of Artificial Intelligence and Computers in Industry.
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.