Tatiana Macé
- Materials Chemistry
- Biomedical Engineering
- Health, Toxicology and Mutagenesis
- Electrical and Electronic Engineering
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- C. MotzkusSophie Vaslin-ReimannVasile‐Dan HodoroabaS. DucourtieuxCarine Chivas‐JolyFrançois Gaie-LevrelÉric GuillaumeJosé‐Marie Lopez‐Cuesta
- Topics
- Scientific Measurement and Uncertainty Evaluation (9 papers)Air Quality and Health Impacts (7 papers)Air Quality Monitoring and Forecasting (6 papers)
- Cited by
- Structural BiologyStatistics, Probability and UncertaintyHealth, Toxicology and Mutagenesis
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Tatiana Macé
25 papers receiving 188 citations
Peers
Comparison fields: 5 of 66
- Materials Chemistry 47
- Biomedical Engineering 47
- Health, Toxicology and Mutagenesis 33
- Electrical and Electronic Engineering 28
- Statistics, Probability and Uncertainty 26
Countries citing papers authored by Tatiana Macé
This map shows the geographic impact of Tatiana Macé'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 Tatiana Macé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatiana Macé more than expected).
Fields of papers citing papers by Tatiana Macé
This network shows the impact of papers produced by Tatiana Macé. 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 Tatiana Macé. The network helps show where Tatiana Macé may publish in the future.
Co-authorship network of co-authors of Tatiana Macé
This figure shows the co-authorship network connecting the top 25 collaborators of Tatiana Macé. A scholar is included among the top collaborators of Tatiana Macé 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 Tatiana Macé. Tatiana Macé 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 | 5 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 38 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 1 |
About Tatiana Macé
Tatiana Macé is a scholar working on Statistics, Probability and Uncertainty, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 27 papers that have together received 192 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (9 papers), Air Quality and Health Impacts (7 papers) and Air Quality Monitoring and Forecasting (6 papers). The work is most often cited by research in Structural Biology (6 citations), Statistics, Probability and Uncertainty (26 citations) and Health, Toxicology and Mutagenesis (33 citations). Tatiana Macé has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include C. Motzkus, Sophie Vaslin-Reimann, Vasile‐Dan Hodoroaba, S. Ducourtieux, Carine Chivas‐Joly, François Gaie-Levrel, Éric Guillaume, José‐Marie Lopez‐Cuesta, M. Maillé and J. C. Barbé. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Powder Technology and Measurement Science and Technology.
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.