Carme Julià

493 citations
34 papers · 314 · h-index 8

Impact in

Papers in

    • Advanced Vision and Imaging 7
    • Advanced Image and Video Retrieval Techniques 7
    • Medical Image Segmentation Techniques 5
    • Image Retrieval and Classification Techniques 5
    • Educational Outcomes and Influences 3
    • Problem and Project Based Learning 3

Carme Julià

34 papers receiving 293 citations

Peers

Carme Julià
Comparison fields: 5 of 74
  • Computer Science Applications 67
  • Computer Vision and Pattern Recognition 77
  • Education 106
  • Media Technology 31
  • Developmental and Educational Psychology 42
Replace György Molnár with:
György Molnár Hungary
Koun‐Tem Sun Taiwan
Ulrich Kortenkamp Germany
Kai-Yi Chin Taiwan
Yuanchun Shi China
Roberto Vivó Spain
David Carr United States
Kamal Bijlani India
Wing‐Kwong Wong Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Carme Julià

Since Specialization
Citations

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

Fields of papers citing papers by Carme Julià

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Carme Julià, 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 Carme Julià Line = papers co-authored together Carme Julià links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201553
2 201853
3 200628
4 201728
5 201222
6 202120
7 200917
8 20118
9 20117
10 20207
11 20217
12 20096
13 20096
14 20095
15 20145
16 20104
17 20084
18 20173
19 20103
20 20083

About Carme Julià

Carme Julià is a scholar working on Computer Vision and Pattern Recognition, Education, Information Systems, Automotive Engineering and Computational Theory and Mathematics, having authored 34 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers), Educational Outcomes and Influences (3 papers), Robotics and Sensor-Based Localization (3 papers), Computational Drug Discovery Methods (3 papers) and Problem and Project Based Learning (3 papers). The work is most often cited by research in Computer Science Applications (67 citations), Computer Vision and Pattern Recognition (77 citations), Education (106 citations), Media Technology (31 citations) and Developmental and Educational Psychology (42 citations). Carme Julià has collaborated with scholars based in Spain, France and Ecuador. Frequent co-authors include Domènec Puig, Enric Martı́, Débora Gil, Xavier Gironés, Rodrigo Moreno, Felipe Lumbreras, Ángel D. Sappa, Antonio M. López, Joan Serrat and Miguel Ángel García. Their work appears in journals such as International Journal of Technology and Design Education, Electronics Letters, Journal of Mathematical Imaging and Vision, Computer Vision and Image Understanding and International Journal of Molecular Sciences.

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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