Mirta B. Gordon
- Atomic and Molecular Physics, and Optics top 10%
- Condensed Matter Physics top 5%
- Materials Chemistry
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Jacques VillainJean‐Pierre NadalM. C. DesjonquèresF. Cyrot‐LackmannDenis Phan∥J. R. IglesiasJ. VannimenusBenoı̂t Lemaire
- Topics
- Neural Networks and Applications (20 papers)Machine Learning and Algorithms (8 papers)Advanced Chemical Physics Studies (8 papers)
In The Last Decade
Mirta B. Gordon
59 papers receiving 837 citations
Peers
Comparison fields: 5 of 106
- Atomic and Molecular Physics, and Optics 244
- Condensed Matter Physics 201
- Materials Chemistry 186
- Statistical and Nonlinear Physics 171
- Artificial Intelligence 123
Countries citing papers authored by Mirta B. Gordon
This map shows the geographic impact of Mirta B. Gordon'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 Mirta B. Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirta B. Gordon more than expected).
Fields of papers citing papers by Mirta B. Gordon
This network shows the impact of papers produced by Mirta B. Gordon. 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 Mirta B. Gordon. The network helps show where Mirta B. Gordon may publish in the future.
Co-authorship network of co-authors of Mirta B. Gordon
This figure shows the co-authorship network connecting the top 25 collaborators of Mirta B. Gordon. A scholar is included among the top collaborators of Mirta B. Gordon 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 Mirta B. Gordon. Mirta B. Gordon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 41 | |
| 3 | 25 | |
| 4 | 32 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | Analyse statistique de comportements d'élèves en algèbre | 2 |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Understanding Stepwise Generalization of Support Vector Machines: a Toy Model | 1 |
| 13 | An evolutive architecture coupled with optimal perceptron learning for classification. | 4 |
| 14 | Minimerror: a perceptron learning rule that finds the optimal weights. | 4 |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | 112 | |
| 19 | 72 | |
| 20 | 6 |
About Mirta B. Gordon
Mirta B. Gordon is a scholar working on Artificial Intelligence, Condensed Matter Physics and Signal Processing, having authored 62 papers that have together received 893 indexed citations. Recurring topics across this work include Neural Networks and Applications (20 papers), Machine Learning and Algorithms (8 papers) and Advanced Chemical Physics Studies (8 papers). The work is most often cited by research in Condensed Matter Physics (201 citations), Statistical and Nonlinear Physics (171 citations) and Atomic and Molecular Physics, and Optics (244 citations). Mirta B. Gordon has collaborated with scholars based in France, Argentina and Brazil. Frequent co-authors include Jacques Villain, Jean‐Pierre Nadal, M. C. Desjonquères, F. Cyrot‐Lackmann, Denis Phan∥, J. R. Iglesias, J. Vannimenus, Benoı̂t Lemaire, Frédéric Lançon and Arnaud Buhot. Their work appears in journals such as Physical Review Letters, Physical review. B, Condensed matter and Scientific Reports.
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.