José Bento

570 total citations
20 papers, 205 citations indexed

About

José Bento is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, José Bento has authored 20 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Molecular Biology and 5 papers in Artificial Intelligence. Recurrent topics in José Bento's work include Complex Network Analysis Techniques (3 papers), Video Analysis and Summarization (2 papers) and Computer Graphics and Visualization Techniques (2 papers). José Bento is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Video Analysis and Summarization (2 papers) and Computer Graphics and Visualization Techniques (2 papers). José Bento collaborates with scholars based in United States, Hong Kong and Germany. José Bento's co-authors include Tim van Opijnen, Sandra Dedrick, Niranjan Damera-Venkata, Eamonn O’Brien-Strain, Stratis Ioannidis, Juan C. Ortiz‐Marquez, Jonathan S. Yedidia, Ralph R. Isberg, Zeyu Zhu and Wenwen Huo and has published in prestigious journals such as Nature Communications, Scientific Reports and PLoS Pathogens.

In The Last Decade

José Bento

20 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Bento United States 8 58 58 34 22 22 20 205
Óscar Plata Spain 10 54 0.9× 21 0.4× 72 2.1× 5 0.2× 17 0.8× 66 407
Wenkai Han China 11 168 2.9× 114 2.0× 60 1.8× 29 1.3× 13 0.6× 19 446
Hanyu Wang China 11 15 0.3× 78 1.3× 30 0.9× 116 5.3× 6 0.3× 28 387
Sanket Biswas India 10 13 0.2× 80 1.4× 45 1.3× 10 0.5× 6 0.3× 32 289
Zoltán Szabadka Hungary 10 74 1.3× 72 1.2× 36 1.1× 2 0.1× 5 0.2× 17 271
Christian E. Schaerer Paraguay 9 63 1.1× 33 0.6× 40 1.2× 4 0.2× 11 0.5× 47 281
Sebastian Albrecht Germany 8 85 1.5× 47 0.8× 34 1.0× 24 1.1× 40 1.8× 34 374
Takahiro Murata United States 8 150 2.6× 15 0.3× 25 0.7× 16 0.7× 32 1.5× 14 422
Ankur Gupta India 7 92 1.6× 18 0.3× 95 2.8× 16 0.7× 29 1.3× 14 339

Countries citing papers authored by José Bento

Since Specialization
Citations

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

Fields of papers citing papers by José Bento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Bento

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

All Works

20 of 20 papers shown
1.
Tsueng, Ginger, Marco Alvarado Cano, José Bento, et al.. (2023). Developing a standardized but extendable framework to increase the findability of infectious disease datasets. Scientific Data. 10(1). 99–99. 7 indexed citations
2.
Strattan, J. Seth, Junho K. Hur, José Bento, et al.. (2020). CNN-Peaks: ChIP-Seq peak detection pipeline using convolutional neural networks that imitate human visual inspection. Scientific Reports. 10(1). 7933–7933. 12 indexed citations
3.
Zhu, Zeyu, Juan C. Ortiz‐Marquez, Wenwen Huo, et al.. (2020). Entropy of a bacterial stress response is a generalizable predictor for fitness and antibiotic sensitivity. Nature Communications. 11(1). 4365–4365. 32 indexed citations
4.
Wang, Shikun, et al.. (2020). Massively Distributed Graph Distances. IEEE Transactions on Signal and Information Processing over Networks. 6. 667–683. 1 indexed citations
5.
Bento, José & Stratis Ioannidis. (2019). A family of tractable graph metrics. Applied Network Science. 4(1). 7 indexed citations
6.
Yang, Laurence, José Bento, Jean‐Christophe Lachance, & Bernhard Ø. Palsson. (2018). Genome-scale estimation of cellular objectives.. arXiv (Cornell University). 1 indexed citations
7.
Bento, José & Stratis Ioannidis. (2018). A Family of Tractable Graph Distances. arXiv (Cornell University). 4 indexed citations
8.
Bento, José, et al.. (2018). An Explicit Convergence Rate for Nesterov's Method from SDP. 1560–1564. 2 indexed citations
9.
Opijnen, Tim van, Sandra Dedrick, & José Bento. (2016). Strain Dependent Genetic Networks for Antibiotic-Sensitivity in a Bacterial Pathogen with a Large Pan-Genome. PLoS Pathogens. 12(9). e1005869–e1005869. 51 indexed citations
10.
Hao, Ning, et al.. (2016). Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. 835–844. 3 indexed citations
11.
Bento, José, et al.. (2015). The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 7 indexed citations
12.
Bento, José, et al.. (2015). The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning. arXiv (Cornell University). 2864–2870. 3 indexed citations
13.
Bento, José, et al.. (2015). Line‐Drawing Video Stylization. Computer Graphics Forum. 35(6). 18–32. 14 indexed citations
14.
Zoran, Daniel, Dilip Krishnan, José Bento, & Bill Freeman. (2014). Shape and Illumination from Shading using the Generic Viewpoint Assumption. DSpace@MIT (Massachusetts Institute of Technology). 27. 226–234. 11 indexed citations
15.
Bento, José, et al.. (2014). Scalable methods to integrate task knowledge with the Three-Weight Algorithm for hybrid cognitive processing via optimization. Biologically Inspired Cognitive Architectures. 8. 109–119. 1 indexed citations
16.
Bento, José, et al.. (2013). A message-passing algorithm for multi-agent trajectory planning. arXiv (Cornell University). 26. 521–529. 9 indexed citations
17.
Bento, José, et al.. (2012). Group recommendations via multi-armed bandits. 463–464. 5 indexed citations
18.
Damera-Venkata, Niranjan & José Bento. (2012). Ad insertion in automatically composed documents. 3–12. 1 indexed citations
19.
Damera-Venkata, Niranjan, José Bento, & Eamonn O’Brien-Strain. (2011). Probabilistic document model for automated document composition. 3–12. 28 indexed citations
20.
Bento, José, Nadia Fawaz, Andrea Montanari, & Stratis Ioannidis. (2011). Identifying users from their rating patterns. 39–46. 6 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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