Gideon Kotzé

672 total citations
13 papers, 351 citations indexed

About

Gideon Kotzé is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Gideon Kotzé has authored 13 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Gideon Kotzé's work include Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Speech and dialogue systems (2 papers). Gideon Kotzé is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Speech and dialogue systems (2 papers). Gideon Kotzé collaborates with scholars based in South Africa, Sweden and Netherlands. Gideon Kotzé's co-authors include Jörg Tiedemann, Vincent Vandeghinste and Scott N. Martens and has published in prestigious journals such as Language Resources and Evaluation, South African Computer Journal and Literator.

In The Last Decade

Gideon Kotzé

13 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gideon Kotzé South Africa	5	274	56	33	33	28	13	351
Balázs Kis Sweden	5	341 1.2×	47 0.8×	49 1.5×	24 0.7×	25 0.9×	12	441
Bente Mægaard Denmark	8	425 1.6×	67 1.2×	45 1.4×	37 1.1×	27 1.0×	39	552
Stefanie Dipper Germany	13	475 1.7×	124 2.2×	39 1.2×	29 0.9×	18 0.6×	50	551
Archna Bhatia United States	9	310 1.1×	86 1.5×	33 1.0×	23 0.7×	15 0.5×	26	412
E.F. Tjong Kim Sang Netherlands	7	237 0.9×	34 0.6×	33 1.0×	20 0.6×	22 0.8×	23	296
Jan Odijk Netherlands	8	449 1.6×	78 1.4×	54 1.6×	34 1.0×	26 0.9×	41	592
Vasilis Karaiskos United Kingdom	6	328 1.2×	34 0.6×	23 0.7×	45 1.4×	18 0.6×	8	416
Ines Rehbein Germany	12	401 1.5×	53 0.9×	29 0.9×	22 0.7×	9 0.3×	58	449
Benoît Sagot France	13	484 1.8×	116 2.1×	22 0.7×	35 1.1×	20 0.7×	83	536
Beáta Megyesi Sweden	12	479 1.7×	62 1.1×	47 1.4×	79 2.4×	34 1.2×	77	567

Countries citing papers authored by Gideon Kotzé

Since Specialization

Citations

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

Fields of papers citing papers by Gideon Kotzé

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gideon Kotzé

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Kotzé, Gideon, et al.. (2017). Developing and evaluating a pipeline for Setswana OCR. 236–241. 2 indexed citations

2.

Kotzé, Gideon, Vincent Vandeghinste, Scott N. Martens, & Jörg Tiedemann. (2016). Large aligned treebanks for syntax-based machine translation. Language Resources and Evaluation. 51(2). 249–282. 1 indexed citations

3.

Kotzé, Gideon, et al.. (2015). Syllabification and parameter optimisation in Zulu to English machine translation. South African Computer Journal. 1 indexed citations

4.

Kotzé, Gideon, et al.. (2014). Experiments with syllable-based English-Zulu alignment. Unisa Institutional Repository (University of South Africa). 1 indexed citations

5.

Kotzé, Gideon. (2013). Complementary Approaches to Tree Alignment: Combining Statistical and Rule-Based Methods. Data Archiving and Networked Services (DANS). 11 indexed citations

6.

Kotzé, Gideon. (2012). Transformation-based tree-to-tree alignment. University of Groningen research database (University of Groningen / Centre for Information Technology). 2. 71–96. 2 indexed citations

7.

Kotzé, Gideon, et al.. (2012). Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12). 235 indexed citations

8.

Kotzé, Gideon. (2011). Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. 65 indexed citations

9.

Kotzé, Gideon. (2011). Improving syntactic tree alignment through rule-based error correction. Data Archiving and Networked Services (DANS). 122–127. 3 indexed citations

10.

Kotzé, Gideon. (2011). Rule-induced error correction of aligned parallel treebanks. Data Archiving and Networked Services (DANS). 35–40. 3 indexed citations

11.

Tiedemann, Jörg & Gideon Kotzé. (2009). Building a Large Machine-Aligned Parallel Treebank. Data Archiving and Networked Services (DANS). 197–208. 15 indexed citations

12.

Tiedemann, Jörg & Gideon Kotzé. (2009). A Discriminative Approach to Tree Alignment. Data Archiving and Networked Services (DANS). 33–39. 8 indexed citations

13.

Kotzé, Gideon. (2008). Ontwikkeling van ’n Afrikaanse woordnet: metodologie en integrasie. Literator. 29(1). 163–184. 4 indexed citations

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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