Élisa Fromont

2.1k citations
36 papers · 695 indexed · h-index 14

Impact in

Papers in

Élisa Fromont

33 papers receiving 676 citations

Peers

Élisa Fromont
Comparison fields: 5 of 113
  • Media Technology 135
  • Computer Vision and Pattern Recognition 281
  • Biochemistry 52
  • Signal Processing 74
  • Artificial Intelligence 185
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Wei Song China
Badri Narayan Subudhi India
Shahid Karim China
Sukadev Meher India
Khalid Amin Egypt
Binglu Wang China
Zhen Hua China
Abdussalam Elhanashi Italy
T. Veerakumar India
Nick J. Pizzi Canada
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Citations per field
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Citations per year

Countries citing papers authored by Élisa Fromont

Since Specialization
Citations

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

Fields of papers citing papers by Élisa Fromont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20221
5 20224
6 20226
7 20212
8 202112
9 20214
10 202033
11 20201
12 202017
13 2020154
14
From Cost-Sensitive to Tight F-measure Bounds
20191
15 201744
16
15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016
20161
17 20136
18
Effective use of frequent itemset mining for image classification
20122
19
Mining Views: Database Views for Data Mining
20074
20
Extraction de connaissances provenant de données multisources pour la caractérisation d'arythmies cardiaques
20051

About Élisa Fromont

Élisa Fromont is a scholar working on Health Informatics, Signal Processing, Media Technology, Information Systems and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 695 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (3 papers), Remote-Sensing Image Classification (3 papers), Imbalanced Data Classification Techniques (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Media Technology (135 citations), Computer Vision and Pattern Recognition (281 citations), Biochemistry (52 citations), Signal Processing (74 citations) and Artificial Intelligence (185 citations). Élisa Fromont has collaborated with scholars based in France, Belgium and Netherlands. Frequent co-authors include Sébastien Lefèvre, Bruno Avignon, Heng Zhang, Alexandre Termier, Véronique Masson, Basura Fernando, Marc Sebban, Tinne Tuytelaars, Tao Lin and Siegfried Nijssen. Their work appears in journals such as Data Mining and Knowledge Discovery, International Journal on Document Analysis and Recognition (IJDAR), Scientific Reports, Transfusion and Advanced Robotics.

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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