Fernando J. Pineda

3.1k total citations · 1 hit paper
40 papers, 2.2k citations indexed

About

Fernando J. Pineda is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Fernando J. Pineda has authored 40 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Fernando J. Pineda's work include Neural Networks and Applications (11 papers), Neural dynamics and brain function (6 papers) and Mitochondrial Function and Pathology (5 papers). Fernando J. Pineda is often cited by papers focused on Neural Networks and Applications (11 papers), Neural dynamics and brain function (6 papers) and Mitochondrial Function and Pathology (5 papers). Fernando J. Pineda collaborates with scholars based in United States, Germany and Venezuela. Fernando J. Pineda's co-authors include J. Marie Hardwick, Sarah Berman, Plamen A. Demirev, Jeffrey S. Lin, Catherine Fenselau, Wen‐Chih Cheng, Bing Qi, Xinchen Teng, J. Michael McCaffery and Elizabeth A. Jonas and has published in prestigious journals such as Physical Review Letters, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Fernando J. Pineda

40 papers receiving 2.1k citations

Hit Papers

Generalization of back-pr... 1987 2026 2000 2013 1987 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Generalization of back-propagation to recurrent neural networks
    1987 630 citations Fernando J. Pineda profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando J. Pineda United States 18 826 761 259 205 196 40 2.2k
Juliane Schäfer Switzerland 22 1.3k 1.5× 218 0.3× 31 0.1× 219 1.1× 51 0.3× 51 3.0k
Alok Sharma Australia 44 3.3k 4.0× 669 0.9× 66 0.3× 171 0.8× 113 0.6× 197 5.7k
Long Lu United States 41 2.0k 2.5× 1.1k 1.4× 57 0.2× 164 0.8× 27 0.1× 140 5.2k
Chee Keong Kwoh Singapore 37 2.3k 2.8× 930 1.2× 12 0.0× 208 1.0× 396 2.0× 182 5.2k
Felix Agakov United Kingdom 21 549 0.7× 463 0.6× 26 0.1× 113 0.6× 34 0.2× 44 2.3k
Raghvendra Mall India 28 1.0k 1.2× 432 0.6× 10 0.0× 166 0.8× 37 0.2× 120 2.7k
Yun Zhai China 31 1.1k 1.3× 153 0.2× 187 0.7× 289 1.4× 24 0.1× 183 3.9k
Giancarlo Mauri Italy 33 2.5k 3.1× 1.0k 1.4× 16 0.1× 49 0.2× 112 0.6× 287 4.7k
Olli Yli‐Harja Finland 37 2.7k 3.2× 430 0.6× 15 0.1× 92 0.4× 53 0.3× 230 4.9k
David Lin United States 28 2.6k 3.2× 444 0.6× 20 0.1× 218 1.1× 49 0.3× 119 4.7k

Countries citing papers authored by Fernando J. Pineda

Since Specialization
Citations

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

Fields of papers citing papers by Fernando J. Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando J. Pineda. 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 Fernando J. Pineda. The network helps show where Fernando J. Pineda may publish in the future.

Co-authorship network of co-authors of Fernando J. Pineda

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando J. Pineda. A scholar is included among the top collaborators of Fernando J. Pineda 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 Fernando J. Pineda. Fernando J. Pineda 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.
Casadevall, Arturo, et al.. (2022). Yeast cell death pathway requiring AP-3 vesicle trafficking leads to vacuole/lysosome membrane permeabilization. Cell Reports. 39(2). 110647–110647. 20 indexed citations
2.
Aouacheria, Abdel, et al.. (2017). Connecting mitochondrial dynamics and life-or-death events via Bcl-2 family proteins. Neurochemistry International. 109. 141–161. 65 indexed citations
3.
Julian, Timothy R., Joseph D. Baugher, Abimbola O. Kolawole, et al.. (2015). Murine norovirus (MNV-1) exposure in vitro to the purine nucleoside analog Ribavirin increases quasispecies diversity. Virus Research. 211. 165–173. 5 indexed citations
4.
Teng, Xinchen, Margaret Dayhoff-Brannigan, Wen‐Chih Cheng, et al.. (2013). Genome-wide Consequences of Deleting Any Single Gene. Molecular Cell. 52(4). 485–494. 128 indexed citations
5.
Quintero, M., Fernando J. Pineda, P. Grima, et al.. (2010). Magnetic properties for the Cu2MnSnSe4 and Cu2FeSnSe4 compounds. Journal of Physics and Chemistry of Solids. 71(7). 993–998. 17 indexed citations
6.
Berman, Sarah, Ying‐Bei Chen, Bing Qi, et al.. (2009). Bcl-xL increases mitochondrial fission, fusion, and biomass in neurons. The Journal of Cell Biology. 184(5). 707–719. 175 indexed citations
7.
Pineda, Fernando J., M. Quintero, P. Grima, et al.. (2009). T(z) diagram and magnetic behavior of the Zn1−zMnzIn2Te4 alloy system. Physica B Condensed Matter. 404(12-13). 1819–1825. 1 indexed citations
8.
Berman, Sarah, Fernando J. Pineda, & J. Marie Hardwick. (2008). Mitochondrial fission and fusion dynamics: the long and short of it. Cell Death and Differentiation. 15(7). 1147–1152. 123 indexed citations
9.
Cheng, Wen‐Chih, Sarah Berman, Irena L. Ivanovska, et al.. (2006). Mitochondrial factors with dual roles in death and survival. Oncogene. 25(34). 4697–4705. 55 indexed citations
10.
Kumar, Nirbhay, et al.. (2004). Molecular complexity of sexual development and gene regulation in Plasmodium falciparum. International Journal for Parasitology. 34(13-14). 1451–1458. 6 indexed citations
11.
Lucarelli, Dennis, et al.. (2003). Field-theoretic methods for intractable probabilistic models. 294–298. 2 indexed citations
12.
Cauwenberghs, Gert, et al.. (2002). A mixed-signal correlator for acoustic transient classification. 1. 621–624. 2 indexed citations
13.
Demirev, Plamen A., Jeffrey S. Lin, Fernando J. Pineda, & Catherine Fenselau. (2001). Bioinformatics and Mass Spectrometry for Microorganism Identification:  Proteome-Wide Post-Translational Modifications and Database Search Algorithms for Characterization of Intact H. pylori. Analytical Chemistry. 73(19). 4566–4573. 75 indexed citations
14.
Pineda, Fernando J., et al.. (1997). Bang, Click, Thud, or Whack?. 18(2). 244–252. 2 indexed citations
15.
Pineda, Fernando J., et al.. (1996). Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing. Neural Information Processing Systems. 9. 734–740. 3 indexed citations
16.
Pineda, Fernando J.. (1995). Recurrent backpropagation networks. 99–135. 9 indexed citations
17.
Pineda, Fernando J. & Andreas G. Andreou. (1994). An Analog Neural Network Inspired by Fractal Block Coding. Neural Information Processing Systems. 7. 795–802. 1 indexed citations
18.
Pineda, Fernando J.. (1989). Time Dependent Adaptive Neural Networks. Neural Information Processing Systems. 2. 710–718. 18 indexed citations
19.
Pineda, Fernando J.. (1988). Dynamics and architecture for neural computation. Journal of Complexity. 4(3). 216–245. 131 indexed citations
20.
Pineda, Fernando J.. (1987). Generalization of Back propagation to Recurrent and Higher Order Neural Networks. Neural Information Processing Systems. 602–611. 84 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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