Daniel Ramos

3.1k total citations
100 papers, 1.7k citations indexed

About

Daniel Ramos is a scholar working on Signal Processing, Artificial Intelligence and Genetics. According to data from OpenAlex, Daniel Ramos has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Signal Processing, 42 papers in Artificial Intelligence and 21 papers in Genetics. Recurrent topics in Daniel Ramos's work include Speech and Audio Processing (26 papers), Forensic and Genetic Research (21 papers) and Speech Recognition and Synthesis (21 papers). Daniel Ramos is often cited by papers focused on Speech and Audio Processing (26 papers), Forensic and Genetic Research (21 papers) and Speech Recognition and Synthesis (21 papers). Daniel Ramos collaborates with scholars based in Spain, Portugal and Netherlands. Daniel Ramos's co-authors include Joaquín González-Rodríguez, Julián Fiérrez, Grzegorz Zadora, Javier Ortega-García, Didier Meuwly, Rudolf Haraksim, Colin Aitken, Agnieszka Martyna, Doroteo T. Toledano and Zita Vale and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Daniel Ramos

94 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ramos Spain 20 606 571 571 262 190 100 1.7k
Jun-Cheng Chen Taiwan 27 410 0.7× 1.8k 3.2× 718 1.3× 12 0.0× 19 0.1× 117 2.5k
Satish Kumar Singh India 24 489 0.8× 1.5k 2.6× 210 0.4× 19 0.1× 8 0.0× 98 2.5k
Mei Xie China 19 253 0.4× 627 1.1× 201 0.4× 10 0.0× 8 0.0× 145 1.5k
Jucheng Yang China 18 180 0.3× 408 0.7× 366 0.6× 66 0.3× 82 1.1k
Rocío Aláiz-Rodríguez Spain 17 638 1.1× 170 0.3× 110 0.2× 21 0.1× 3 0.0× 40 1.4k
Shabab Bazrafkan Ireland 12 232 0.4× 356 0.6× 147 0.3× 28 0.1× 4 0.0× 23 778
Muhammad Jaleed Khan Pakistan 14 259 0.4× 419 0.7× 80 0.1× 6 0.0× 60 0.3× 36 1.2k
Kris De Brabanter United States 16 207 0.3× 141 0.2× 66 0.1× 39 0.1× 9 0.0× 42 815
José Fonseca Portugal 16 134 0.2× 101 0.2× 64 0.1× 60 0.2× 22 0.1× 94 682

Countries citing papers authored by Daniel Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ramos. A scholar is included among the top collaborators of Daniel Ramos 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 Daniel Ramos. Daniel Ramos 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.
2.
Ramos, Daniel, et al.. (2025). Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging. Biomedical Signal Processing and Control. 104. 107383–107383. 2 indexed citations
3.
Toledano, Doroteo T., et al.. (2024). Enhancing Conformer-Based Sound Event Detection Using Frequency Dynamic Convolutions and BEATs Audio Embeddings. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3896–3907. 1 indexed citations
4.
Ramos, Daniel, et al.. (2024). An overview of log likelihood ratio cost in forensic science – Where is it used and what values can we expect?. Forensic Science International Synergy. 8. 100466–100466. 3 indexed citations
5.
Ramos, Daniel, Pedro Faria, Luís Gomes, & Zita Vale. (2023). Building Energy Consumption Forecast under Different Anticipations on a Green Computation Perspective. IFAC-PapersOnLine. 56(2). 10923–10928. 2 indexed citations
6.
Ramos, Daniel, et al.. (2023). Gaussianization of LA-ICP-MS features to improve calibration in forensic glass comparison. Forensic Science International. 349. 111735–111735. 4 indexed citations
7.
Enzinger, Ewald, et al.. (2022). Validations of an alpha version of the E3 Forensic Speech Science System (E3FS3) core software tools. Forensic Science International Synergy. 4. 100223–100223. 8 indexed citations
8.
Martyna, Agnieszka, Grzegorz Zadora, & Daniel Ramos. (2018). Forensic comparison of pyrograms using score-based likelihood ratios. Journal of Analytical and Applied Pyrolysis. 133. 198–215. 12 indexed citations
9.
Ramos, Daniel, et al.. (2016). Gaussian Mixture Models of Between-Source Variation for Likelihood Ratio Computation from Multivariate Data. PLoS ONE. 11(2). e0149958–e0149958. 16 indexed citations
10.
Haraksim, Rudolf, Daniel Ramos, Didier Meuwly, & Charles E.H. Berger. (2015). Measuring coherence of computer-assisted likelihood ratio methods. Forensic Science International. 249. 123–132. 17 indexed citations
11.
Castán, Diego, Héctor Delgado, Eva Navas, et al.. (2015). Albayzín-2014 evaluation: audio segmentation and classification in broadcast news domains. EURASIP Journal on Audio Speech and Music Processing. 2015(1). 15 indexed citations
12.
Ramos, Daniel & Joaquín González-Rodríguez. (2013). Reliable support: Measuring calibration of likelihood ratios. Forensic Science International. 230(1-3). 156–169. 83 indexed citations
13.
Toledano, Doroteo T., Alfonso Ortega, A. Teixeira, et al.. (2012). Advances in Speech and Language Technologies for Iberian Languages: IberSPEECH 2012 Conference, Madrid, Spain, November 21-23, 2012. Proceedings. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations
14.
Martyna, Agnieszka, et al.. (2012). Analysis of lead isotopic ratios of glass objects with the aim of comparing them for forensic purposes. Talanta. 105. 158–166. 14 indexed citations
15.
Berger, Charles E.H. & Daniel Ramos. (2012). Objective paper structure comparison: Assessing comparison algorithms. Forensic Science International. 222(1-3). 360–367. 7 indexed citations
16.
Toledano, Doroteo T., et al.. (2009). Automatic Language Recognition on Spontaneous Speech: The ATVS-UAM System. Journal of the Audio Engineering Society. 57(10). 788–806.
17.
Castro, Alberto de, Daniel Ramos, & Joaquín González-Rodríguez. (2009). Forensic speaker recognition using traditional features comparing automatic and human-in-the-loop formant tracking. Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya). 2343–2346. 3 indexed citations
18.
Ramos, Daniel & Joaquín González-Rodríguez. (2008). Cross-entropy analysis of the information in forensic speaker recognition. 37(5). 4–1540. 14 indexed citations
19.
Fiérrez, Julián, Javier Ortega-García, Daniel Ramos, & Joaquín González-Rodríguez. (2007). HMM-based on-line signature verification: Feature extraction and signature modeling. Pattern Recognition Letters. 28(16). 2325–2334. 204 indexed citations
20.
Ramos, Daniel, et al.. (2005). La fase de tendencia declinante del crecimiento económico de México, 1970 - 2006. Americanae (AECID Library). 63–73.

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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