Antonio Ramírez-de-Arellano

755 total citations
30 papers, 532 citations indexed

About

Antonio Ramírez-de-Arellano is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Antonio Ramírez-de-Arellano has authored 30 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Antonio Ramírez-de-Arellano's work include DNA and Biological Computing (12 papers), Advanced Memory and Neural Computing (9 papers) and Advanced Malware Detection Techniques (4 papers). Antonio Ramírez-de-Arellano is often cited by papers focused on DNA and Biological Computing (12 papers), Advanced Memory and Neural Computing (9 papers) and Advanced Malware Detection Techniques (4 papers). Antonio Ramírez-de-Arellano collaborates with scholars based in Spain, China and Austria. Antonio Ramírez-de-Arellano's co-authors include Madelyn Marrero, Jaime Solís-Guzmán, M. Montes, Hong Peng, David Orellana-Martín, Mario J. Pérez-Jímenez, Jun Wang, Qian Yang, Xin Xiong and Zhicai Liu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Antonio Ramírez-de-Arellano

23 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Ramírez-de-Arellano Spain 8 355 123 89 54 48 30 532
Jinfeng Lou Hong Kong 11 285 0.8× 79 0.6× 26 0.3× 91 1.7× 104 2.2× 23 581
Yiyu Zhao China 9 239 0.7× 71 0.6× 59 0.7× 64 1.2× 44 0.9× 12 538
Hafiz Alaka United Kingdom 4 349 1.0× 20 0.2× 134 1.5× 28 0.5× 28 0.6× 5 474
Xiaoxiao Xu China 13 152 0.4× 20 0.2× 56 0.6× 26 0.5× 33 0.7× 36 455
Sergio Rodríguez United Kingdom 8 448 1.3× 11 0.1× 84 0.9× 107 2.0× 119 2.5× 24 597
Ömer Kaya Türkiye 10 86 0.2× 16 0.1× 21 0.2× 65 1.2× 27 0.6× 25 432
Gürşans Güven Türkiye 9 245 0.7× 8 0.1× 71 0.8× 54 1.0× 58 1.2× 21 353
Giuseppe Martino Di Giuda Italy 11 290 0.8× 9 0.1× 21 0.2× 88 1.6× 62 1.3× 67 436
Qingpeng Man China 9 334 0.9× 9 0.1× 54 0.6× 186 3.4× 69 1.4× 28 449
Mehdi Ravanshadnia Iran 12 207 0.6× 37 0.3× 28 0.3× 169 3.1× 100 2.1× 46 415

Countries citing papers authored by Antonio Ramírez-de-Arellano

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Ramírez-de-Arellano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Ramírez-de-Arellano. 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 Antonio Ramírez-de-Arellano. The network helps show where Antonio Ramírez-de-Arellano may publish in the future.

Co-authorship network of co-authors of Antonio Ramírez-de-Arellano

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Ramírez-de-Arellano. A scholar is included among the top collaborators of Antonio Ramírez-de-Arellano 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 Antonio Ramírez-de-Arellano. Antonio Ramírez-de-Arellano 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.
Song, Bosheng, et al.. (2025). The computational properties of P systems with mutative membrane structures. Information and Computation. 303. 105277–105277.
2.
Peng, Hong, et al.. (2025). A graph attention network integrated with gated spiking neural P systems for session-based recommendation. Expert Systems with Applications. 286. 128029–128029.
3.
Orellana-Martín, David, et al.. (2025). Simulating and validating virus machines. Natural Computing. 24(2). 311–320.
4.
Ramírez-de-Arellano, Antonio, David Orellana-Martín, Mario J. Pérez-Jímenez, Francis George C. Cabarle, & Henry N. Adorna. (2025). Matrix Representation of Virus Machines and an Application to the Discrete Logarithm Problem. International Journal of Neural Systems. 35(11). 2550049–2550049.
5.
Peng, Hong, et al.. (2024). K-order echo-type spiking neural P systems for time series forecasting. Neurocomputing. 610. 128613–128613.
6.
Peng, Hong, et al.. (2024). A Parallel Convolutional Network Based on Spiking Neural Systems. International Journal of Neural Systems. 34(5). 2450022–2450022. 13 indexed citations
7.
Peng, Hong, et al.. (2024). Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models. International Journal of Neural Systems. 34(6). 2450032–2450032. 7 indexed citations
8.
Peng, Hong, Jun Wang, Xiang Lu, et al.. (2024). Model design and exponential state estimation for discrete-time delayed memristive spiking neural P systems. Neural Networks. 181. 106801–106801.
9.
Peng, Hong, et al.. (2024). A deep echo-like spiking neural P systems for time series prediction. Knowledge-Based Systems. 304. 112560–112560.
10.
Alhazov, Artiom, et al.. (2024). P systems with reactive membranes. SPIRE - Sciences Po Institutional REpository. 6(2). 82–93. 1 indexed citations
11.
Zhang, Lingyun, et al.. (2024). Gated graph spiking neural P network for session-based recommendation. Knowledge-Based Systems. 300. 112162–112162. 6 indexed citations
12.
Pérez-Jímenez, Mario J., Antonio Ramírez-de-Arellano, & David Orellana-Martín. (2023). Attacking cryptosystems by means of virus machines. Scientific Reports. 13(1). 21831–21831. 4 indexed citations
13.
Xiong, Xin, et al.. (2023). Feature fusion method based on spiking neural convolutional network for edge detection. Pattern Recognition. 147. 110112–110112. 31 indexed citations
14.
Peng, Hong, Jun Wang, Qian Yang, et al.. (2023). Sequence recommendation using multi-level self-attention network with gated spiking neural P systems. Information Sciences. 656. 119916–119916. 21 indexed citations
15.
Ramírez-de-Arellano, Antonio, David Orellana-Martín, & Mario J. Pérez-Jímenez. (2023). Using Virus Machines to Compute Pairing Functions. International Journal of Neural Systems. 33(5). 2350023–2350023. 6 indexed citations
16.
Ramírez-de-Arellano, Antonio, et al.. (2015). Ecological footprint of building recovery: foundation pinning under emergency conditions. Dialnet (Universidad de la Rioja). 35–45. 1 indexed citations
17.
Montes, M., Raúl Manuel Falcón Ganfornina, & Antonio Ramírez-de-Arellano. (2014). Estimating Building Construction Costs by Production Processes. The Open Construction and Building Technology Journal. 8(1). 171–181. 4 indexed citations
18.
Solís-Guzmán, Jaime, Madelyn Marrero, M. Montes, & Antonio Ramírez-de-Arellano. (2009). A Spanish model for quantification and management of construction waste. Waste Management. 29(9). 2542–2548. 270 indexed citations
19.
Ramírez-de-Arellano, Antonio, et al.. (2004). Estudio de los efectos de los cambios de temperatura en una fachada de azulejos. 56–62. 1 indexed citations
20.
Ramírez-de-Arellano, Antonio, et al.. (2002). Retirada selectiva de residuos: modelo de presupuestación. Dialnet (Universidad de la Rioja). 3 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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