F.A. Grootjen

458 citations
17 papers · 313 · h-index 8

Impact in

Papers in

F.A. Grootjen

17 papers receiving 279 citations

Peers

F.A. Grootjen
Comparison fields: 5 of 44
  • Developmental and Educational Psychology 115
  • Cognitive Neuroscience 103
  • Artificial Intelligence 130
  • Language and Linguistics 39
  • Experimental and Cognitive Psychology 41
Replace Caroline Lyon with:
Caroline Lyon United Kingdom
Severin Klingler Switzerland
Tiago Pimentel Switzerland
Michael Hahn United States
Thomas Eckart Germany
Neil Mayo United Kingdom
Hans-Christian Schmitz Germany
Nik Swoboda Spain
Dmitriy Genzel United States
Aline Villavicencio Brazil
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Citations per field
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Citations per year

Countries citing papers authored by F.A. Grootjen

Since Specialization
Citations

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

Fields of papers citing papers by F.A. Grootjen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.A. Grootjen. 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 F.A. Grootjen. The network helps show where F.A. Grootjen may publish in the future.

Co-authors

The 20 scholars most cited alongside F.A. Grootjen, 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 F.A. Grootjen Line = papers co-authored together F.A. Grootjen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2011116
2 200563
3 201356
4
Writer identification through information retrieval: the allograph weight vector
200819
5 200911
6 201310
7
Author Identification in Chatlogs using Formal Concept Analysis
20077
8
Structural Properties as Proxy for Semantic Relevance in RDF Graph Sampling
20147
9
Conceptual Query Expansion
20044
10 20054
11 20043
12 20053
13
A Modern Turing Test: Bot Detection in MMORPGS
20083
14 20183
15 20182
16
Information Retrieval as a Semantics Transformation Mechanism. A formal theory for latent semantics
20031
17
Coordination and multi-relational modelling: 'X and X' revisited
19991

About F.A. Grootjen

F.A. Grootjen is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (4 papers), Data Management and Algorithms (3 papers), Second Language Acquisition and Learning (2 papers), Language and cultural evolution (2 papers), Advanced Database Systems and Queries (2 papers), Information Retrieval and Search Behavior (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Developmental and Educational Psychology (115 citations), Cognitive Neuroscience (103 citations), Artificial Intelligence (130 citations), Language and Linguistics (39 citations) and Experimental and Cognitive Psychology (41 citations). F.A. Grootjen has collaborated with scholars based in Netherlands and United Kingdom. Frequent co-authors include Job Schepens, Ton Dijkstra, Th.P. van der Weide, Walter J. B. van Heuven, Ralph Niels, L.G. Vuurpijl, Mark A. Neerincx, Theo P. van der Weide, Antal van den Bosch and Wessel Kraaij. Their work appears in journals such as International Journal of Corpus Linguistics, Bilingualism Language and Cognition, Linguistics and Education, Data & Knowledge Engineering and Multimedia Tools and Applications.

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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