Daniel Ramos

3.1k citations
100 papers · 1.7k · h-index 20

Impact in

Papers in

Daniel Ramos

95 papers receiving 1.6k citations

Peers

Daniel Ramos
Comparison fields: 5 of 142
  • Signal Processing 571
  • Computer Vision and Pattern Recognition 574
  • Safety Research 160
  • Artificial Intelligence 611
  • Archeology 190
Replace Kris De Brabanter with:
Kris De Brabanter United States
Jun-Cheng Chen Taiwan
Rocío Aláiz-Rodríguez Spain
B. Moghaddam United States
Satish Kumar Singh India
Mei Xie China
Jasper Snoek United States
José Fonseca Portugal
Shabab Bazrafkan Ireland
Daniel Ramos relative to Kris De Brabanter United States Kris De Brabanter's profile →
Citations per field
00.5×10×15×21.1×
Kris De Brabanter · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Ramos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Ramos Line = papers co-authored together Daniel Ramos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007205
2 2007119
3 2016113
4 201387
5 201881
6
Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data
201481
7 201374
8 201848
9 201447
10 201045
11 200839
12 201037
13 201336
14 202236
15 201829
16 201128
17 202026
18 201325
19 201623
20 202121

About Daniel Ramos

Daniel Ramos is a scholar working on Signal Processing, Artificial Intelligence, Genetics, Computer Vision and Pattern Recognition and Safety Research, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (26 papers), Forensic and Genetic Research (21 papers), Speech Recognition and Synthesis (21 papers), Music and Audio Processing (20 papers), Biometric Identification and Security (19 papers), Forensic Fingerprint Detection Methods (15 papers), Energy Load and Power Forecasting (11 papers) and Smart Grid Energy Management (9 papers). The work is most often cited by research in Signal Processing (571 citations), Computer Vision and Pattern Recognition (574 citations), Safety Research (160 citations), Artificial Intelligence (611 citations) and Archeology (190 citations). Daniel Ramos has collaborated with scholars based in Spain, Portugal and Netherlands. Frequent co-authors include Joaquín González-Rodríguez, Julián Fiérrez, Grzegorz Zadora, Javier Ortega-García, Didier Meuwly, Rudolf Haraksim, Colin Aitken, Doroteo T. Toledano, Agnieszka Martyna and Pedro Faria. Their work appears in journals such as Forensic Science International, Chemometrics and Intelligent Laboratory Systems, Energy Reports, The Journal of the Acoustical Society of America and IEEE Signal Processing Letters.

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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