Frédéric Achard

11 papers receiving 255 citations

Peers

Frédéric Achard
Comparison fields: 5 of 66
  • Information Systems and Management 54
  • Medical Terminology 1
  • Molecular Biology 183
  • Computer Networks and Communications 43
  • Artificial Intelligence 60
Replace Damian D. G. Gessler with:
Damian D. G. Gessler United States
Hitomi Ohkawa United States
Matúš Kalaš Norway
Erick Antezana Norway
Kieron Taylor United Kingdom
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Jerzy Orłowski Poland
Nataliya Sklyar Germany
Vincent A. Fusaro United States
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Frédéric Achard relative to Damian D. G. Gessler United States Damian D. G. Gessler's profile →
Citations per field
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Damian D. G. Gessler · 1×
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-authors

The 14 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

12 of 12 papers shown
#Work
1 2001177
2 199955
3
Ubiquitous distributed objects with CORBA.
199712
4 201611
5 200010
6 19985
7 19984
8 20243
9 19993
10
Web services for forest data, analysis and monitoring: developments from EuroGEOSS
20123
11 19983
12 20020

About Frédéric Achard

Frédéric Achard is a scholar working on Information Systems and Management, Environmental Engineering, Molecular Biology, Ecological Modeling and Geography, Planning and Development, having authored 12 papers that have together received 286 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (3 papers), Remote Sensing and LiDAR Applications (2 papers), Scientific Computing and Data Management (2 papers), CRISPR and Genetic Engineering (1 paper), Distributed and Parallel Computing Systems (1 paper), Machine Learning in Bioinformatics (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Information Systems and Management (54 citations), Medical Terminology (1 citation), Molecular Biology (183 citations), Computer Networks and Communications (43 citations) and Artificial Intelligence (60 citations). Frédéric Achard has collaborated with scholars based in France, Australia and Italy. Frequent co-authors include Emmanuel Barillot, Guy Vaysseix, William Frederick Laurance, Susanne Schmitt, Stephen Peedell, Philipe Dessen, Eric Viara, Philippe Dessen, Lucy Bastin and Thomas S. Ream. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Frontiers in Ecology and the Environment, Trends in biotechnology and aBIOTECH.

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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