Karina Gibert
About
In The Last Decade
Karina Gibert
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 389
- Information Systems 201
- Environmental Engineering 117
- Health, Toxicology and Mutagenesis 111
- Water Science and Technology 106
Countries citing papers authored by Karina Gibert
This map shows the geographic impact of Karina Gibert'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 Karina Gibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karina Gibert more than expected).
Fields of papers citing papers by Karina Gibert
This network shows the impact of papers produced by Karina Gibert. 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 Karina Gibert. The network helps show where Karina Gibert may publish in the future.
Co-authorship network of co-authors of Karina Gibert
This figure shows the co-authorship network connecting the top 25 collaborators of Karina Gibert. A scholar is included among the top collaborators of Karina Gibert 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 Karina Gibert. Karina Gibert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | A methodology to assess the sustainability competencies in engineering undergraduate programs | 1 |
| 6 | 3 | |
| 7 | Generating Complete Menus from Nutritional Prescriptions by Using Advanced CBR and Real Food Databases. | 0 |
| 8 | 26 | |
| 9 | 6 | |
| 10 | Post-Processing the Class Panel Graphs: Towards Understandable Patterns from Data. | 1 |
| 11 | The use of the Traffic Lights Panel as a goodness-of-clustering indicator - An application to Financial Assets. | 3 |
| 12 | 1 | |
| 13 | Customization of an agent-based medical system | 3 |
| 14 | Knowledge engineering as a support for building an actor profile ontology for integrating Home-Care systems. | 5 |
| 15 | Knowledge Discovery on the response to neurorehabilitation treatment of patients with Traumatic Brain Injury through an AI&Stats and graphical hybrid methodology | 3 |
| 16 | A Knowledge Discovery Methodology for Identifying Vulnerability Factors of Mental Disorder in an Intellectually Disabled Population | 2 |
| 17 | Knowledge Discovery in a Wastewater Treatment Plant with Clustering Based on Rules by States | 1 |
| 18 | Data Mining as a Tool for Environmental Scientists | 10 |
| 19 | Cluster discovery in environmental databases using GESCONDA: The added value of comparisons | 4 |
| 20 | Fuzzy Box-plot based induction rules. Towards automatic generation of classes-interpretations | 1 |
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.