Alexandre Passos

64.7k total citations
12 papers, 455 citations indexed

About

Alexandre Passos is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Alexandre Passos has authored 12 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Signal Processing and 2 papers in Hardware and Architecture. Recurrent topics in Alexandre Passos's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Machine Learning and Algorithms (2 papers). Alexandre Passos is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Machine Learning and Algorithms (2 papers). Alexandre Passos collaborates with scholars based in United States, United Kingdom and Brazil. Alexandre Passos's co-authors include Andrew McCallum, Arvind Neelakantan, Vineet Kumar, Piyush Rai, Jacques Wainer, Hal Daumé, Hanna Wallach, Andrew McCallum, Marcos Sampaio and Aria Haghighi and has published in prestigious journals such as Theory and applications of categories, arXiv (Cornell University) and Uncertainty in Artificial Intelligence.

In The Last Decade

Alexandre Passos

11 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Passos United States 5 425 45 34 30 16 12 455
Oren Melamud Israel 8 410 1.0× 44 1.0× 26 0.8× 42 1.4× 17 1.1× 14 458
Rotem Dror Israel 9 366 0.9× 57 1.3× 24 0.7× 51 1.7× 18 1.1× 13 427
Xinxiong Chen China 6 411 1.0× 40 0.9× 25 0.7× 86 2.9× 7 0.4× 11 443
Nicola Cancedda France 12 592 1.4× 51 1.1× 40 1.2× 94 3.1× 14 0.9× 34 620
Ryohei Sasano Japan 11 282 0.7× 48 1.1× 11 0.3× 42 1.4× 11 0.7× 50 320
Zeyang Lei China 7 314 0.7× 58 1.3× 9 0.3× 42 1.4× 5 0.3× 16 363
Rabih Zbib United States 8 508 1.2× 87 1.9× 26 0.8× 36 1.2× 6 0.4× 18 545
Laura Kallmeyer Germany 16 660 1.6× 28 0.6× 34 1.0× 38 1.3× 11 0.7× 82 705
Lujun Zhao China 8 255 0.6× 26 0.6× 18 0.5× 28 0.9× 35 2.2× 11 289
Joäo Graça Portugal 12 541 1.3× 85 1.9× 45 1.3× 41 1.4× 12 0.8× 24 579

Countries citing papers authored by Alexandre Passos

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Passos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Passos

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

All Works

12 of 12 papers shown
1.
Meurer, Aaron, Ralf Gommers, Yao-Lung L. Fang, et al.. (2023). Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem. Proceedings of the Python in Science Conferences. 8–17. 1 indexed citations
2.
Agrawal, Akshay, Alexandre Passos, Ashish Agarwal, et al.. (2019). TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning. 1. 178–189. 1 indexed citations
3.
Passos, Alexandre, Vineet Kumar, & Andrew McCallum. (2015). Lexicon Infused Phrase Embeddings for Named Entity Resolution. 164 indexed citations
4.
Neelakantan, Arvind, et al.. (2014). Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. 1059–1069. 244 indexed citations
5.
Belanger, David, Alexandre Passos, Sebastian Riedel, & Andrew McCallum. (2014). Message passing for soft constraint dual decomposition. Uncertainty in Artificial Intelligence. 62–71. 2 indexed citations
6.
Singh, Sameer, Limin Yao, David Belanger, et al.. (2013). Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013.. Theory and applications of categories. 3 indexed citations
7.
Belanger, David, Alexandre Passos, Sebastian Riedel, & Andrew McCallum. (2012). MAP Inference in Chains using Column Generation. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 25. 1844–1852. 3 indexed citations
8.
Passos, Alexandre, Piyush Rai, Jacques Wainer, & Hal Daumé. (2012). Flexible Modeling of Latent Task Structures in Multitask Learning. arXiv (Cornell University). 1283–1290. 23 indexed citations
9.
Passos, Alexandre, Hanna Wallach, & Andrew McCallum. (2011). Correlations and Anticorrelations in LDA Inference. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 5 indexed citations
10.
11.
Passos, Alexandre, et al.. (2009). RAMEAU: A SYSTEM FOR AUTOMATIC HARMONIC ANALYSIS. The Journal of the Abraham Lincoln Association. 2008. 6 indexed citations
12.
Passos, Alexandre, Jacques Wainer, & Aria Haghighi. (2009). What do you know? A topic-model approach to authority identification. 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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