Martina Eckert

991 citations
33 papers · 666 · h-index 12

Impact in

Papers in

Martina Eckert

30 papers receiving 643 citations

Peers

Martina Eckert
Comparison fields: 5 of 88
  • Ocean Engineering 210
  • Computer Vision and Pattern Recognition 240
  • Computer Networks and Communications 221
  • Signal Processing 72
  • Safety, Risk, Reliability and Quality 52
Replace Tareq Alhmiedat with:
Tareq Alhmiedat Saudi Arabia
Yi Han China
Chih-Yu Wen Taiwan
Bruno Emile France
Pedro Santana Portugal
Deepak Adhikari China
Arridhana Ciptadi United States
Koray Özcan United States
Ruhul Amin Khalil Pakistan
Martina Eckert relative to Tareq Alhmiedat Saudi Arabia Tareq Alhmiedat's profile →
Citations per field
00.5×6.5×
Tareq Alhmiedat · 1×
Citations per year

Countries citing papers authored by Martina Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Martina Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016164
2 2016112
3 201598
4 199949
5 201643
6 201739
7 201726
8 202323
9 199222
10 201614
11 201613
12 199811
13 20186
14 20165
15 20005
16 20155
17 20234
18 20174
19 20194
20 20223

About Martina Eckert

Martina Eckert is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Psychiatry and Mental health and Developmental and Educational Psychology, having authored 33 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (5 papers), Video Coding and Compression Technologies (4 papers), Context-Aware Activity Recognition Systems (4 papers), Advanced Vision and Imaging (4 papers), Cerebral Palsy and Movement Disorders (4 papers), Underwater Vehicles and Communication Systems (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Children's Physical and Motor Development (3 papers). The work is most often cited by research in Ocean Engineering (210 citations), Computer Vision and Pattern Recognition (240 citations), Computer Networks and Communications (221 citations), Signal Processing (72 citations) and Safety, Risk, Reliability and Quality (52 citations). Martina Eckert has collaborated with scholars based in Spain, Germany and Portugal. Frequent co-authors include José-Fernán Martí­nez-Ortega, Ning Li, Xin Yuan, Fernando Jaureguizar, Narciso Garcı́a, Robert A. Wicklund, Lourdes López, Mariano Gacto‐Sánchez, María-Luisa Martín-Ruiz and Adrián Galdrán. Their work appears in journals such as Sensors, JMIR Serious Games, International Journal of Environmental Research and Public Health, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Geoscience and Remote Sensing.

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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