Pablo Rivas

1.4k total citations
68 papers, 617 citations indexed

About

Pablo Rivas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pablo Rivas has authored 68 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Pablo Rivas's work include Adversarial Robustness in Machine Learning (11 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (9 papers). Pablo Rivas is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Quantum Computing Algorithms and Architecture (9 papers) and Quantum Information and Cryptography (9 papers). Pablo Rivas collaborates with scholars based in United States, Mexico and Canada. Pablo Rivas's co-authors include Ernesto Sifuentes, Javier Orduz, Erich J. Baker, Rafael González-Landaeta, Katina Michael, Bryan F. Shaw, Jordan Richard Schoenherr, Greg Hamerly, Roba Abbas and Theresa Dirndorfer Anderson and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Pablo Rivas

65 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pablo Rivas United States	14	232	102	99	56	56	68	617
Elena Hernández-Pereira Spain	13	242 1.0×	25 0.2×	48 0.5×	59 1.1×	75 1.3×	31	802
Tianlong Ma China	11	213 0.9×	56 0.5×	24 0.2×	19 0.3×	140 2.5×	32	656
Khan Muhammad South Korea	6	402 1.7×	30 0.3×	36 0.4×	134 2.4×	83 1.5×	11	811
Federico Cerutti United Kingdom	13	545 2.3×	35 0.3×	59 0.6×	32 0.6×	57 1.0×	69	772
Ning Xie China	8	272 1.2×	24 0.2×	45 0.5×	19 0.3×	103 1.8×	20	593
Anirudh Goyal Canada	7	518 2.2×	52 0.5×	36 0.4×	18 0.3×	213 3.8×	38	901
Ignacio Heredia Spain	4	175 0.8×	36 0.4×	74 0.7×	12 0.2×	69 1.2×	15	545
Richard Tomsett United Kingdom	9	262 1.1×	40 0.4×	33 0.3×	49 0.9×	36 0.6×	17	614
Martin Bobák Slovakia	5	179 0.8×	37 0.4×	86 0.9×	10 0.2×	72 1.3×	21	555

Countries citing papers authored by Pablo Rivas

Since Specialization

Citations

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

Fields of papers citing papers by Pablo Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Rivas

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

All Works

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20 of 20 papers shown

Rivas, Pablo, et al.. (2025). Data-dependent generalization bounds for parameterized quantum models under noise. The Journal of Supercomputing. 81(4).

Rivas, Pablo, et al.. (2024). Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats. SHILAP Revista de lepidopterología. 6(2). 944–964. 5 indexed citations

Rivas, Pablo, et al.. (2024). Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach. 43–53. 1 indexed citations

Rivas, Pablo, et al.. (2024). A Modified Depolarization Approach for Efficient Quantum Machine Learning. Mathematics. 12(9). 1385–1385. 3 indexed citations

Rivas, Pablo, et al.. (2024). Generalization error bound for quantum machine learning in NISQ era—a survey. Quantum Machine Intelligence. 6(2).

Rivas, Pablo, et al.. (2024). Fairness issues, current approaches, and challenges in machine learning models. International Journal of Machine Learning and Cybernetics. 15(8). 3095–3125. 21 indexed citations

Hamerly, Greg, et al.. (2023). Is ReLU Adversarially Robust?. 2 indexed citations

Rivas, Pablo, et al.. (2023). Marketing with ChatGPT: Navigating the Ethical Terrain of GPT-Based Chatbot Technology. SHILAP Revista de lepidopterología. 4(2). 375–384. 96 indexed citations

Rivas, Pablo, et al.. (2023). Aligning Word Embeddings from BERT to Vocabulary-Free Representations. 1. 108–115. 1 indexed citations

10.

Rivas, Pablo, et al.. (2023). Non-Invasive Muzzle Matching for Cattle Identification Using Deep Learning. 1998–2002. 2 indexed citations

11.

Rivas, Pablo, et al.. (2022). On Unsupervised Reconstruction with Dressed Multilayered Variational Quantum Circuits. 85–88. 1 indexed citations

12.

Rivas, Pablo, et al.. (2022). Evaluation of adversarial attacks sensitivity of classifiers with occluded input data. Neural Computing and Applications. 34(20). 17615–17632. 5 indexed citations

13.

Orduz, Javier, et al.. (2022). Supercomputing leverages quantum machine learning and Grover’s algorithm. The Journal of Supercomputing. 79(6). 6918–6940. 12 indexed citations

14.

Rivas, Pablo, et al.. (2020). Deep Learning for Beginners. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations

15.

Rivas, Pablo. (2019). Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models. Meeting of the Association for Computational Linguistics. 24–26. 1 indexed citations

16.

Rivas, Pablo, et al.. (2019). Machine Learning for DDoS Attack Classification Using Hive Plots. 401–407. 11 indexed citations

17.

Rivas, Pablo, et al.. (2018). Optimizing Support Vector Machine Analysis in Low Density Biological Data Sets. PubMed. 13. 1357–1361. 2 indexed citations

18.

Rivas, Pablo, et al.. (2015). Near Real-Time Dust Aerosol Detection with Support Vector Machines for Regression. AGU Fall Meeting Abstracts. 2015. 2 indexed citations

19.

Rivas, Pablo, Erich J. Baker, Greg Hamerly, & Bryan F. Shaw. (2014). Detection of leukocoria using a soft fusion of expert classifiers under non-clinical settings. BMC Ophthalmology. 14(1). 110–110. 17 indexed citations

20.

Rivas, Pablo, et al.. (2007). A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors. Engineering letters. 15(1 Pt 2). 35–44. 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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