Andre Manoel

563 total citations
9 papers, 213 citations indexed

About

Andre Manoel is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Andre Manoel has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 3 papers in Signal Processing. Recurrent topics in Andre Manoel's work include Sparse and Compressive Sensing Techniques (2 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Applications (2 papers). Andre Manoel is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Applications (2 papers). Andre Manoel collaborates with scholars based in France, Brazil and United Kingdom. Andre Manoel's co-authors include Florent Krząkała, Lenka Zdeborová, Robert B. Sim, Yae Jee Cho, Dimitrios Dimitriadis, Jean Barbier, Nicolas Macris, Eric W. Tramel, Edson Amaro and Cláudia Szlejf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Research and Clinical Practice and Journal of Statistical Mechanics Theory and Experiment.

In The Last Decade

Andre Manoel

9 papers receiving 206 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andre Manoel France	7	121	32	28	24	21	9	213
Yash Deshpande Germany	7	56 0.5×	48 1.5×	38 1.4×	29 1.2×	31 1.5×	27	179
Wasim Huleihel Israel	7	58 0.5×	18 0.6×	44 1.6×	48 2.0×	50 2.4×	27	203
Jaehoon Lee South Korea	6	133 1.1×	8 0.3×	9 0.3×	17 0.7×	13 0.6×	13	207
Roi Livni Israel	6	116 1.0×	20 0.6×	13 0.5×	15 0.6×	17 0.8×	17	187
Ibrahim Alabdulmohsin Saudi Arabia	7	73 0.6×	10 0.3×	30 1.1×	15 0.6×	27 1.3×	16	137
Dejiao Zhang United States	10	313 2.6×	48 1.5×	14 0.5×	12 0.5×	18 0.9×	21	425
P. Devaraj India	9	94 0.8×	43 1.3×	18 0.6×	13 0.5×	8 0.4×	31	330
Vassilis Kalofolias Switzerland	5	113 0.9×	63 2.0×	18 0.6×	9 0.4×	25 1.2×	6	207
Khanh Do Ba United States	4	43 0.4×	50 1.6×	29 1.0×	12 0.5×	30 1.4×	6	120
Chun‐Chen Tu United States	4	188 1.6×	14 0.4×	10 0.4×	21 0.9×	39 1.9×	5	205

Countries citing papers authored by Andre Manoel

Since Specialization

Citations

This map shows the geographic impact of Andre Manoel'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 Andre Manoel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andre Manoel more than expected).

Fields of papers citing papers by Andre Manoel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andre Manoel. 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 Andre Manoel. The network helps show where Andre Manoel may publish in the future.

Co-authorship network of co-authors of Andre Manoel

This figure shows the co-authorship network connecting the top 25 collaborators of Andre Manoel. A scholar is included among the top collaborators of Andre Manoel 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 Andre Manoel. Andre Manoel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Aghakhani, Hojjat, Wei Dai, Andre Manoel, et al.. (2024). TrojanPuzzle: Covertly Poisoning Code-Suggestion Models. 1122–1140. 12 indexed citations

2.

Bačkurs, Artūrs, Sivakanth Gopi, Huseyin A. Inan, et al.. (2024). Differentially Private Fine-tuning of Language Models. SHILAP Revista de lepidopterología. 14(2). 13 indexed citations

3.

Manoel, Andre, et al.. (2022). Prediction of metabolic syndrome: A machine learning approach to help primary prevention. Diabetes Research and Clinical Practice. 191. 110047–110047. 23 indexed citations

4.

Cho, Yae Jee, et al.. (2022). Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 2881–2887. 58 indexed citations

5.

Manoel, Andre, et al.. (2019). Entropy and mutual information in models of deep neural networks*. Journal of Statistical Mechanics Theory and Experiment. 2019(12). 124014–124014. 70 indexed citations

6.

Manoel, Andre, et al.. (2018). Entropy and mutual information in models of deep neural networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 31. 1821–1831. 6 indexed citations

7.

Tramel, Eric W., et al.. (2016). Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. arXiv (Cornell University). 15. 265–269. 9 indexed citations

8.

Manoel, Andre, Florent Krząkała, Eric W. Tramel, & Lenka Zdeborová. (2015). Swept Approximate Message Passing for Sparse Estimation. 1123–1132. 20 indexed citations

9.

Manoel, Andre & Renato Vicente. (2013). Statistical mechanics of reputation systems in autonomous networks. Journal of Statistical Mechanics Theory and Experiment. 2013(8). P08002–P08002. 2 indexed citations

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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