M.N. Garcia

468 citations
16 papers · 348 · h-index 11

Impact in

Papers in

M.N. Garcia

16 papers receiving 334 citations

Peers

M.N. Garcia
Comparison fields: 5 of 34
  • Signal Processing 193
  • Computer Vision and Pattern Recognition 306
  • Sociology and Political Science 92
  • Computer Networks and Communications 44
  • Media Technology 16
Replace Marie-Neige Garcia with:
Marie-Neige Garcia Germany
Bernhard Feiten Germany
Olıvia Némethová Austria
Huifeng Shen China
Vinod Kumar Malamal Vadakital Finland
Michael Horowitz United States
Is-Haka Mkwawa United Kingdom
Janice Pan United States
Jin‐Woo Hong South Korea
Hyunho Yeo South Korea
M.N. Garcia relative to Marie-Neige Garcia Germany Marie-Neige Garcia's profile →
Citations per field
00.5×2.8×
Marie-Neige Garcia · 1×
Citations per year

Countries citing papers authored by M.N. Garcia

Since Specialization
Citations

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

Fields of papers citing papers by M.N. Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.N. Garcia. 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 M.N. Garcia. The network helps show where M.N. Garcia may publish in the future.

Co-authors

The 16 scholars most cited alongside M.N. Garcia, 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 M.N. Garcia Line = papers co-authored together M.N. Garcia links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201474
2 200852
3 201430
4 201130
5 201026
6
TC-STAR : Specifications of Language Resources and Evaluation for Speech Synthesis
200626
7 201122
8 201317
9 201517
10 200817
11 201511
12 20099
13 20116
14 20105
15 20133
16 20133

About M.N. Garcia

M.N. Garcia is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Computer Networks and Communications and Media Technology, having authored 16 papers that have together received 348 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (13 papers), Video Coding and Compression Technologies (10 papers), Multimedia Communication and Technology (9 papers), Advanced Data Compression Techniques (2 papers), Video Analysis and Summarization (2 papers), Telecommunications and Broadcasting Technologies (2 papers), Network Traffic and Congestion Control (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Signal Processing (193 citations), Computer Vision and Pattern Recognition (306 citations), Sociology and Political Science (92 citations), Computer Networks and Communications (44 citations) and Media Technology (16 citations). M.N. Garcia has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Alexander Raake, Peter List, F. Simone, Kjell Brunnström, Nicolas Staelens, Sebastian Egger, Werner Robitza, Bernhard Feiten, Sebastian Möller and Robert Schleicher. Their work appears in journals such as IEEE Signal Processing Magazine, EURASIP Journal on Image and Video Processing, Data Archiving and Networked Services (DANS) and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.

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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