Kim Gerdes

17 papers receiving 80 citations

Peers

Kim Gerdes
Comparison fields: 5 of 23
  • Artificial Intelligence 67
  • Language and Linguistics 27
  • Linguistics and Language 17
  • Experimental and Cognitive Psychology 16
  • Philosophy 14
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Countries citing papers authored by Kim Gerdes

Since Specialization
Citations

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

Fields of papers citing papers by Kim Gerdes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Gerdes

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Gerdes. A scholar is included among the top collaborators of Kim Gerdes 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 Kim Gerdes. Kim Gerdes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 4
3
Guide d’annotation syntaxique Orféo (version Platinum)
0
4 28
5
Establishing a Language by Annotating a Corpus
1
6
Annotation micro- et macrosyntaxique manuelle et automatique de français parlé
1
7
Trois schémas d’annotation syntaxique en dépendance pour un même corpus de français oral : le cas de la macrosyntaxe
5
8 4
9
Classifying Syntactic Categories in the Chinese Dependency Network
1
10
Non-constituent coordination and other coordinative constructions as Dependency Graphs
11
11
Correcting and Validating Syntactic Dependency in the Spoken French Treebank Rhapsodie
2
12
Corpus collection and analysis for the linguistic layman : The Gromoteur
2
13
Impact of prosodic position on vocalic space in German and French
4
14
A grammar correction algorithm: deep parsing and minimal corrections for a grammar checker
3
15
Prosodic hierarchy and spectral realization of vowels in French
3
16
annoter du des textes tu te demandes si c'est syntaxique tu vois
4
17
Proceedings of the 4th International Conference on Meaning-Text Theory
7
18
A Statistical Approach to Persian Light Verb Constructions
4

About Kim Gerdes

Kim Gerdes is a scholar working on Linguistics and Language, Language and Linguistics and Artificial Intelligence, having authored 18 papers that have together received 85 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (4 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Linguistics and Language (17 citations), Language and Linguistics (27 citations) and Artificial Intelligence (67 citations). Kim Gerdes has collaborated with scholars based in France, United States and China. Frequent co-authors include Timothy Osborne, Sylvain Kahane, Cédric Gendrot, Martine Adda‐Decker, Pollet Samvelian, David Beck, Renaud Marlet, Alain Polguère, Anne Dister and Sylvain Kahane. Their work appears in journals such as Language Resources and Evaluation, Glossa a journal of general linguistics and Langue française.

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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