Frédéric Achard

407 citations
13 papers · 251 indexed · h-index 6

Frédéric Achard

11 papers receiving 229 citations

Peers

Frédéric Achard
Comparison fields: 5 of 68
  • Information Systems and Management 59
  • Medical Terminology 1
  • Molecular Biology 186
  • Artificial Intelligence 61
  • Computer Networks and Communications 39
Replace Matúš Kalaš with:
Matúš Kalaš Norway
Maria Chatzou Spain
Jerzy Orłowski Poland
Erick Antezana Norway
Thomas Laurent United Kingdom
Steffen Schulze-Kremer Germany
Andy Jenkinson United Kingdom
Sergio Maffioletti Switzerland
Marco Ocana United States
Christine Froidevaux France
Frédéric Achard relative to Matúš Kalaš Norway Matúš Kalaš's profile →
Citations per field
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Citations per year

Countries citing papers authored by Frédéric Achard

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Achard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20241
2 201610
3
Web services for forest data, analysis and monitoring: developments from EuroGEOSS
20121
4
Web based expert elicitation of uncertainties in environmental model inputs
20111
5 20020
6 2001157
7 20008
8 19993
9 199946
10 19984
11 19983
12 19985
13
Ubiquitous distributed objects with CORBA.
199712

About Frédéric Achard

Frédéric Achard is a scholar working on Information Systems and Management, Ecological Modeling and Environmental Engineering, having authored 13 papers that have together received 251 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (3 papers), Biomedical Text Mining and Ontologies (3 papers), Scientific Computing and Data Management (3 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Computational Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Information Systems and Management (59 citations), Medical Terminology (1 citation) and Molecular Biology (186 citations). Frédéric Achard has collaborated with scholars based in France, Netherlands and Australia. Frequent co-authors include Emmanuel Barillot, Guy Vaysseix, Susanne Schmitt, William F. Laurance, Stephen Peedell, P Dessen, Philippe Dessen, Eric Viara, John Paul Gosling and Phuong N. Truong. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Frontiers in Ecology and the Environment, aBIOTECH and Trends in biotechnology.

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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