Daniel Ramos

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

Impact in

Papers in

    • Speech and Audio Processing 26
    • Music and Audio Processing 20
    • Biometric Identification and Security 19
    • Forensic Fingerprint Detection Methods 15

Daniel Ramos

94 papers receiving 1.6k citations

Peers

Daniel Ramos
Comparison fields: 5 of 141
  • Signal Processing 571
  • Computer Vision and Pattern Recognition 571
  • Safety Research 160
  • Archeology 190
  • Artificial Intelligence 606
Replace Jun-Cheng Chen with:
Jun-Cheng Chen Taiwan
Mei Xie China
Kris De Brabanter United States
Rocío Aláiz-Rodríguez Spain
Satish Kumar Singh India
José Fonseca Portugal
Shabab Bazrafkan Ireland
Muhammad Jaleed Khan Pakistan
Jucheng Yang China
Daniel Ramos relative to Jun-Cheng Chen Taiwan Jun-Cheng Chen's profile →
Citations per field
00.5×10×
Jun-Cheng Chen · 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 2007204
2 2007118
3 2016111
4 201383
5
Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data
201481
6 201880
7 201373
8 201848
9 201447
10 201045
11 200839
12 201037
13 202235
14 201334
15 201829
16 201127
17 201324
18 202024
19 201623
20 202121

About Daniel Ramos

Daniel Ramos is a scholar working on Signal Processing, Safety Research, Artificial Intelligence, Archeology and Space and Planetary Science, 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 Cultural Heritage Materials Analysis (9 papers). The work is most often cited by research in Signal Processing (571 citations), Computer Vision and Pattern Recognition (571 citations), Safety Research (160 citations), Archeology (190 citations) and Artificial Intelligence (606 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, Rudolf Haraksim, Didier Meuwly, 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, IEEE Access and The Journal of the Acoustical Society of America.

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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