Facundo Bromberg

481 citations
20 papers · 299 · h-index 9

Impact in

    • Advanced Malware Detection Techniques
    • Bayesian Modeling and Causal Inference
    • Anomaly Detection Techniques and Applications
    • Internet Traffic Analysis and Secure E-voting

Papers in

    • Bayesian Modeling and Causal Inference 10
    • Bayesian Methods and Mixture Models 3
    • Machine Learning and Algorithms 2
    • Advanced Graph Neural Networks 2
    • Smart Agriculture and AI 3
    • Horticultural and Viticultural Research 3

Facundo Bromberg

17 papers receiving 284 citations

Peers

Facundo Bromberg
Comparison fields: 5 of 63
  • Signal Processing 49
  • Artificial Intelligence 143
  • Computer Networks and Communications 83
  • Plant Science 92
  • Analytical Chemistry 20
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Citations per year

Countries citing papers authored by Facundo Bromberg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 12 scholars most cited alongside Facundo Bromberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Facundo Bromberg Line = papers co-authored together Facundo Bromberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201171
2 201869
3 201735
4 200926
5 201823
6
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation
200916
7 200914
8 202114
9 200611
10 20084
11 20143
12 20183
13 20243
14 20172
15 20072
16 20112
17
Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina
20121
18 20220
19 20140
20 20130

About Facundo Bromberg

Facundo Bromberg is a scholar working on Artificial Intelligence, Plant Science, Computational Theory and Mathematics, Computer Networks and Communications and Molecular Biology, having authored 20 papers that have together received 299 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (3 papers), Bayesian Methods and Mixture Models (3 papers), Smart Agriculture and AI (3 papers), Horticultural and Viticultural Research (3 papers), Data Quality and Management (2 papers), Machine Learning and Algorithms (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Signal Processing (49 citations), Artificial Intelligence (143 citations), Computer Networks and Communications (83 citations), Plant Science (92 citations) and Analytical Chemistry (20 citations). Facundo Bromberg has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Dimitris Margaritis, Carlos García Garino, Carlos Catania, D. Pérez, Thomas Watteyne, Diego Dujovne, Vasant Honavar, Alejandro Edera, Diego H. Milone and Hugo Moreno. Their work appears in journals such as Computers and Electronics in Agriculture, Expert Systems with Applications, Journal of Artificial Intelligence Research, Computers in Industry 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.

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