Zoe Falomir

788 total citations
53 papers, 513 citations indexed

About

Zoe Falomir is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Zoe Falomir has authored 53 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Zoe Falomir's work include Image Retrieval and Classification Techniques (18 papers), Constraint Satisfaction and Optimization (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Zoe Falomir is often cited by papers focused on Image Retrieval and Classification Techniques (18 papers), Constraint Satisfaction and Optimization (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Zoe Falomir collaborates with scholars based in Germany, Spain and United Kingdom. Zoe Falomir's co-authors include Luis González Abril, Ismael Sanz, Christian Freksa, Mariana Belgiu, Damien Arvor, Isabelle Mougenot, Laurent Durieux, Dolores Corella, María Arregui and Óscar Coltell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Zoe Falomir

47 papers receiving 492 citations

Peers

Zoe Falomir
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 172
  • Artificial Intelligence 133
  • Experimental and Cognitive Psychology 101
  • Cognitive Neuroscience 67
  • Signal Processing 67
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Citations per field, relative to Zoe Falomir
Zoe Falomir · 1×
Citations per year, relative to Zoe Falomir
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Countries citing papers authored by Zoe Falomir

Since Specialization
Citations

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

Fields of papers citing papers by Zoe Falomir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoe Falomir

This figure shows the co-authorship network connecting the top 25 collaborators of Zoe Falomir. A scholar is included among the top collaborators of Zoe Falomir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zoe Falomir. Zoe Falomir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 8
5 0
6 2
7 1
8 5
9 1
10 32
11 17
12 1
13 7
14 3
15 38
16
Towards a Similarity between Qualitative Image Descriptions for Comparing Real Scenes
2
17 16
18 43
19 29
20
Distance Sensor Data Integration and Prediction
0

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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