Diane Lingrand

25 papers receiving 265 citations

Peers

Diane Lingrand
Comparison fields: 5 of 61
  • Computer Networks and Communications 168
  • Information Systems and Management 134
  • Information Systems 82
  • Computer Vision and Pattern Recognition 44
  • Artificial Intelligence 36
Replace Andreas Hoheisel with:
Andreas Hoheisel Germany
Michael Russell United States
Krishna Muriki United States
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Raghavendra Kune India
S. Bharathi India
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Diane Lingrand relative to Andreas Hoheisel Germany Andreas Hoheisel's profile →
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Citations per year

Countries citing papers authored by Diane Lingrand

Since Specialization
Citations

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

Fields of papers citing papers by Diane Lingrand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Lingrand

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Lingrand. A scholar is included among the top collaborators of Diane Lingrand 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 Diane Lingrand. Diane Lingrand 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
#WorkIndexed citations
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5 16
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Plant Species Recognition using Bag-Of-Word with SVM Classifier in the Context of the LifeCLEF Challenge.
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7
SIFT, BoW Architecture and one-against-all Support Vector Machine.
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8 7
9 4
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NeuroLOG: a community-driven middleware design.
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11 104
12 25
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Authentication and authorisation prototype on the mu grid for medical data management.
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Implementing a Variant of the Kanatani's Estimation Method
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The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case
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About Diane Lingrand

Diane Lingrand is a scholar working on Information Systems and Management, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 26 papers that have together received 283 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (9 papers), Advanced Vision and Imaging (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Information Systems and Management (134 citations), Computer Networks and Communications (168 citations) and Information Systems (82 citations). Diane Lingrand has collaborated with scholars based in France, Netherlands and Switzerland. Frequent co-authors include Johan Montagnat, Tristan Glatard, Xavier Pennec, Thierry Viéville, Fŕed́eric Precioso, Alban Gaignard, F. Gaspard, Philippe Lahire, Philippe Collet and Zoltán Farkas. Their work appears in journals such as International Journal of Computer Vision, Future Generation Computer Systems and Robotics and Autonomous Systems.

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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