Noelia Sánchez‐Maroño
About
In The Last Decade
Noelia Sánchez‐Maroño
55 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 1.5k
- Molecular Biology 824
- Computer Vision and Pattern Recognition 727
- Information Systems 247
- Computer Networks and Communications 233
Countries citing papers authored by Noelia Sánchez‐Maroño
This map shows the geographic impact of Noelia Sánchez‐Maroño'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 Noelia Sánchez‐Maroño with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noelia Sánchez‐Maroño more than expected).
Fields of papers citing papers by Noelia Sánchez‐Maroño
This network shows the impact of papers produced by Noelia Sánchez‐Maroño. 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 Noelia Sánchez‐Maroño. The network helps show where Noelia Sánchez‐Maroño may publish in the future.
Co-authorship network of co-authors of Noelia Sánchez‐Maroño
This figure shows the co-authorship network connecting the top 25 collaborators of Noelia Sánchez‐Maroño. A scholar is included among the top collaborators of Noelia Sánchez‐Maroño 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 Noelia Sánchez‐Maroño. Noelia Sánchez‐Maroño is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | On the analysis of feature selection techniques in a conjunctival hyperemia grading framework. | 2 |
| 7 | 12 | |
| 8 | 177 | |
| 9 | Toward parallel feature selection from vertically partitioned data. | 6 |
| 10 | 4 | |
| 11 | 2 | |
| 12 | A distributed wrapper approach for feature selection. | 1 |
| 13 | An ontology-based design for modelling case studies of everyday proenvironmental behaviour in the workplace | 2 |
| 14 | 8 | |
| 15 | Statistical dependence measure for feature selection in microarray datasets. | 12 |
| 16 | 154 | |
| 17 | Classification of computer intrusions using functional networks. A comparative study. | 13 |
| 18 | a new wrapper method for feature subset selection. | 8 |
| 19 | Shear Strength Prediction using Dimensional Analysis and Functional Networks | 3 |
| 20 | Self-Organizing Maps and Functional Networks for Local Dynamic Modeling | 2 |
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.