Pedro Tome

812 citations
17 papers · 507 · h-index 10

Impact in

Papers in

Pedro Tome

17 papers receiving 482 citations

Peers

Pedro Tome
Comparison fields: 5 of 55
  • Signal Processing 381
  • Computer Vision and Pattern Recognition 324
  • Information Systems 104
  • Safety Research 35
  • Genetics 94
Replace Puneet Gupta with:
Puneet Gupta India
Lingyu Wang Singapore
Emanuela Piciucco Italy
Lacey Best-Rowden United States
Xuefeng Du China
Raghavender Jillela United States
Xianchao Qiu China
Kiran B. Raja Norway
Christof Kauba Austria
Abdallah Meraoumia Algeria
Pedro Tome relative to Puneet Gupta India Puneet Gupta's profile →
Citations per field
00.5×1.5×1.8×
Puneet Gupta · 1×
Citations per year

Countries citing papers authored by Pedro Tome

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Tome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Pedro Tome, 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 Pedro Tome Line = papers co-authored together Pedro Tome links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201499
2 201575
3 201554
4
On the vulnerability of finger vein recognition to spoofing
201454
5 201547
6 201838
7 201336
8 201430
9 201527
10 201010
11 20159
12 20138
13 20136
14 20175
15 20124
16 20134
17 20151

About Pedro Tome

Pedro Tome is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Biomedical Engineering, Information Systems and Genetics, having authored 17 papers that have together received 507 indexed citations. Recurring topics across this work include Biometric Identification and Security (15 papers), Face recognition and analysis (10 papers), Face and Expression Recognition (6 papers), Gait Recognition and Analysis (4 papers), User Authentication and Security Systems (3 papers), Forensic and Genetic Research (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper) and Face Recognition and Perception (1 paper). The work is most often cited by research in Signal Processing (381 citations), Computer Vision and Pattern Recognition (324 citations), Information Systems (104 citations), Safety Research (35 citations) and Genetics (94 citations). Pedro Tome has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Sébastien Marcel, Julián Fiérrez, Rubén Vera-Rodríguez, Mark Nixon, Javier Ortega-García, Javier Hernandez‐Ortega, Aythami Morales, Daniel Ramos, Laurent El Shafey and Diego Gragnaniello. Their work appears in journals such as Forensic Science International, Journal of Forensic Sciences, IEEE Transactions on Information Forensics and Security, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Surrey Research Insight Open Access (The University of Surrey).

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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