Daniel Ramos

3.2k citations
121 papers · 2.3k · h-index 21

Impact in

Papers in

Daniel Ramos

112 papers receiving 2.1k citations

Peers

Daniel Ramos
Comparison fields: 5 of 150
  • Signal Processing 789
  • Computer Vision and Pattern Recognition 859
  • Safety Research 207
  • Artificial Intelligence 777
  • Archeology 199
Replace Ognjen Arandjelović with:
Ognjen Arandjelović United Kingdom
Jun-Cheng Chen Taiwan
Satish Kumar Singh India
Shaveta Dargan India
Sudeep D. Thepade India
Mei Xie China
Anand Singh Jalal India
Šarūnas Raudys Lithuania
Rocío Aláiz-Rodríguez Spain
Kieran Greer United Kingdom
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Citations per field
00.5×5×10×15×20.7×
Ognjen Arandjelović · 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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007257
2 2009148
3 2007128
4 2016124
5 201395
6 201889
7
Statistical Analysis in Forensic Science: Evidential Value of Multivariate Physicochemical Data
201486
8 201377
9
Skin Detection -a Short Tutorial
201056
10 201453
11 201053
12 201852
13 201047
14 200844
15 201342
16 202242
17 201835
18 201129
19 201328
20 202026

About Daniel Ramos

Daniel Ramos is a scholar working on Signal Processing, Artificial Intelligence, Safety Research, Computer Vision and Pattern Recognition and Genetics, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (30 papers), Speech Recognition and Synthesis (26 papers), Biometric Identification and Security (22 papers), Music and Audio Processing (22 papers), Forensic and Genetic Research (22 papers), Energy Load and Power Forecasting (16 papers), Forensic Fingerprint Detection Methods (16 papers) and Building Energy and Comfort Optimization (10 papers). The work is most often cited by research in Signal Processing (789 citations), Computer Vision and Pattern Recognition (859 citations), Safety Research (207 citations), Artificial Intelligence (777 citations) and Archeology (199 citations). Daniel Ramos has collaborated with scholars based in Spain, Portugal and Netherlands. Frequent co-authors include Joaquín González-Rodríguez, Julián Fiérrez, Javier Ortega-García, Grzegorz Zadora, Didier Meuwly, Colin G. G. Aitken, Rudolf Haraksim, 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, Forensic Science International Synergy and IEEE Access.

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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