Alejandro Molina

815 total citations
21 papers, 325 citations indexed

About

Alejandro Molina is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Communication. According to data from OpenAlex, Alejandro Molina has authored 21 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 2 papers in Communication. Recurrent topics in Alejandro Molina's work include Bayesian Modeling and Causal Inference (7 papers), Adversarial Robustness in Machine Learning (3 papers) and Machine Learning and Data Classification (3 papers). Alejandro Molina is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Adversarial Robustness in Machine Learning (3 papers) and Machine Learning and Data Classification (3 papers). Alejandro Molina collaborates with scholars based in Germany, United Kingdom and Italy. Alejandro Molina's co-authors include Kristian Kersting, Carsten Binnig, Benjamin Hilprecht, Andreas Schmidt, Sriraam Natarajan, Antonio Vergari, Nicola Di Mauro, Floriana Esposito, Fabian Hadiji and Jethro Akroyd and has published in prestigious journals such as The Astronomical Journal, Machine Learning and Proceedings of the VLDB Endowment.

In The Last Decade

Alejandro Molina

20 papers receiving 313 citations

Peers

Alejandro Molina

CNC

CVPR

Esko Nuutila Finland

Ian Oliver Finland

Shengjie Wang China

Qigang Gao Canada

James C. Davis United States

T. V. Geetha India

Richard Koman

S. Srinivasan India

Murat Koyuncu Türkiye

Gabriele Tolomei Italy

Esko Nuutila Finland

Alejandro Molina

132 ×0.8

116 ×1.1

CNC

59 ×0.6

35 ×0.6

CVPR

73 ×1.6

Citations per year, relative to Alejandro Molina Alejandro Molina (= 1×) peers Esko Nuutila

Countries citing papers authored by Alejandro Molina

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Molina. A scholar is included among the top collaborators of Alejandro Molina 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 Alejandro Molina. Alejandro Molina 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

Molina, Alejandro, et al.. (2022). Next2You: Robust Copresence Detection Based on Channel State Information. arXiv (Cornell University). 3(2). 1–31. 4 indexed citations

Molina, Alejandro, et al.. (2021). Conditional sum-product networks: Modular probabilistic circuits via gate functions. International Journal of Approximate Reasoning. 140. 298–313. 2 indexed citations

Molina, Alejandro, et al.. (2020). Residual Sum-Product Networks. 545–556. 1 indexed citations

Molina, Alejandro, Patrick Schramowski, & Kristian Kersting. (2020). Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. International Conference on Learning Representations. 6 indexed citations

Hilprecht, Benjamin, et al.. (2020). DeepDB. Proceedings of the VLDB Endowment. 13(7). 992–1005. 122 indexed citations

Molina, Alejandro, et al.. (2020). CryptoSPN. TUbilio (Technical University of Darmstadt). 9–14. 6 indexed citations

Peharz, Robert, Antonio Vergari, Alejandro Molina, et al.. (2019). Random sum-product networks: A simple and effective approach to probabilistic deep learning. TU/e Research Portal. 334–344. 14 indexed citations

Molina, Alejandro, et al.. (2019). Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs. 251–254. 2 indexed citations

Molina, Alejandro, Antonio Vergari, Nicola Di Mauro, et al.. (2018). Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 35 indexed citations

10.

Vergari, Antonio, Robert Peharz, Nicola Di Mauro, et al.. (2018). Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 6 indexed citations

11.

Molina, Alejandro, et al.. (2018). Core Dependency Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 4 indexed citations

12.

Molina, Alejandro, et al.. (2018). Automatic Mapping of the Sum-Product Network Inference Problem to FPGA-Based Accelerators. TUbilio (Technical University of Darmstadt). 350–357. 13 indexed citations

13.

Molina, Alejandro, et al.. (2017). Öffentlichkeitsorientierung von Wissenschaftsinstitutionen und Wissenschaftsdisziplinen. Publizistik. 62(2). 153–178. 12 indexed citations

14.

Molina, Alejandro, Sriraam Natarajan, & Kristian Kersting. (2017). Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 9 indexed citations

15.

Ide, Christoph, Fabian Hadiji, Alejandro Molina, et al.. (2015). LTE Connectivity and Vehicular Traffic Prediction Based on Machine Learning Approaches. 1–5. 21 indexed citations

16.

Hadiji, Fabian, Alejandro Molina, Sriraam Natarajan, & Kristian Kersting. (2015). Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data. Machine Learning. 100(2-3). 477–507. 13 indexed citations

17.

Molina, Alejandro, et al.. (2014). Novel Solid-State Route to Nanostructured Tin, Zinc and Cerium Oxides as Potential Materials for Sensors. Journal of Nanoscience and Nanotechnology. 14(9). 6748–6753. 5 indexed citations

18.

Molina, Alejandro, et al.. (2014). Metacognitive Activity in college students: a preliminary study. psicología desde el caribe. 31(3). 455–474. 1 indexed citations

19.

Molina, Alejandro. (2003). Cyberspace: The "Color Line" of the 21st Century. Social Justice A Journal of Crime Conflict & World Order. 30(2). 143. 1 indexed citations

20.

Molina, Rafael, B. D. Ripley, Alejandro Molina, F. Moreno, & J. L. Ortiz. (1992). Bayesian deconvolution with prior knowledge of object location - Applications to ground-based planetary images. The Astronomical Journal. 104. 1662–1662. 13 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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