Gemma Sánchez

1.6k citations
68 papers · 1.2k · h-index 19

Impact in

Papers in

Gemma Sánchez

67 papers receiving 1.2k citations

Peers

Gemma Sánchez
Comparison fields: 5 of 79
  • Speech and Hearing 270
  • Computer Vision and Pattern Recognition 692
  • Geology 174
  • Signal Processing 157
  • Health, Toxicology and Mutagenesis 157
Replace Jaume Segura-García with:
Jaume Segura-García Spain
Ting Zhao China
Lingjun Zhao China
Maria E. Niessen Netherlands
Abhinav Gupta United States
Sven Schneider Germany
Bruno Emile France
Raphaël Labayrade France
Stéphane Donikian France
Hélène Laurent France
Gemma Sánchez relative to Jaume Segura-García Spain Jaume Segura-García's profile →
Citations per field
00.5×10.2×
Jaume Segura-García · 1×
Citations per year

Countries citing papers authored by Gemma Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gemma Sánchez, 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 Gemma Sánchez Line = papers co-authored together Gemma Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017145
2 2002112
3 201398
4 201590
5 200965
6 201563
7 201858
8 200840
9 201834
10 200628
11 201326
12 200926
13 200824
14 201124
15 200923
16 200923
17 201020
18 200719
19 200418
20 199818

About Gemma Sánchez

Gemma Sánchez is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Speech and Hearing and Artificial Intelligence, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (36 papers), Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (21 papers), Image Processing and 3D Reconstruction (12 papers), Noise Effects and Management (10 papers), Music and Audio Processing (10 papers), 3D Surveying and Cultural Heritage (9 papers) and Hearing Loss and Rehabilitation (8 papers). The work is most often cited by research in Speech and Hearing (270 citations), Computer Vision and Pattern Recognition (692 citations), Geology (174 citations), Signal Processing (157 citations) and Health, Toxicology and Mutagenesis (157 citations). Gemma Sánchez has collaborated with scholars based in Spain, France and Switzerland. Frequent co-authors include Josep Lladós, Dick Botteldooren, Timothy Van Renterghem, Ernest Valveny, Alícia Fornés, Lluís-Pere de las Heras, Bert De Coensel, kang ki sun, Enric Martı́ and Pieter Thomas. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters, Lecture notes in computer science, Frontiers in Psychology and Applied Acoustics.

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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