Facundo Bromberg
- Artificial Intelligence top 10%
- Plant Science
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Information Systems
- Co-authors
- Dimitris MargaritisCarlos CataniaCarlos García GarinoD. PérezDiego DujovneThomas WatteyneVasant HonavarAlejandro Edera
- Topics
- Bayesian Modeling and Causal Inference (10 papers)Bayesian Methods and Mixture Models (3 papers)Rough Sets and Fuzzy Logic (3 papers)
- Journals
- Expert Systems with ApplicationsIEEE Internet of Things JournalJournal of Machine Learning Research
- Partner nations
- ArgentinaUnited StatesChile
In The Last Decade
Facundo Bromberg
17 papers receiving 282 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 144
- Plant Science 93
- Computer Networks and Communications 84
- Signal Processing 49
- Information Systems 30
Countries citing papers authored by Facundo Bromberg
This map shows the geographic impact of Facundo Bromberg'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 Facundo Bromberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Facundo Bromberg more than expected).
Fields of papers citing papers by Facundo Bromberg
This network shows the impact of papers produced by Facundo Bromberg. 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 Facundo Bromberg. The network helps show where Facundo Bromberg may publish in the future.
Co-authorship network of co-authors of Facundo Bromberg
This figure shows the co-authorship network connecting the top 25 collaborators of Facundo Bromberg. A scholar is included among the top collaborators of Facundo Bromberg 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 Facundo Bromberg. Facundo Bromberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 68 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 2 | |
| 8 | 35 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina | 1 |
| 13 | 2 | |
| 14 | 71 | |
| 15 | 26 | |
| 16 | Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation | 16 |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 11 |
About Facundo Bromberg
Facundo Bromberg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Bayesian Methods and Mixture Models (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Signal Processing (49 citations), Artificial Intelligence (144 citations) and Computer Networks and Communications (84 citations). Facundo Bromberg has collaborated with scholars based in Argentina, United States and Chile. Frequent co-authors include Dimitris Margaritis, Carlos Catania, Carlos García Garino, D. Pérez, Diego Dujovne, Thomas Watteyne, Vasant Honavar, Alejandro Edera, Diego H. Milone and Alejandro Pablo Arena. Their work appears in journals such as Expert Systems with Applications, IEEE Internet of Things Journal and Journal of Machine Learning Research.
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.