Rob van der Goot

627 total citations
38 papers, 298 citations indexed

About

Rob van der Goot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Rob van der Goot has authored 38 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Rob van der Goot's work include Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers) and Text Readability and Simplification (7 papers). Rob van der Goot is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers) and Text Readability and Simplification (7 papers). Rob van der Goot collaborates with scholars based in Denmark, Netherlands and Germany. Rob van der Goot's co-authors include Barbara Plank, Malvina Nissim, Gertjan van Noord, Johannes Bjerva, Johan Bos, Nikola Ljubešić, Joachim Daiber, Tommaso Caselli, Tommi Jauhiainen and Çağrı Çöltekin and has published in prestigious journals such as Computational Linguistics, Language Resources and Evaluation and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

Rob van der Goot

34 papers receiving 270 citations

Peers

Countries citing papers authored by Rob van der Goot

Since Specialization

Citations

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

Fields of papers citing papers by Rob van der Goot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob van der Goot. 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 Rob van der Goot. The network helps show where Rob van der Goot may publish in the future.

Co-authorship network of co-authors of Rob van der Goot

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Where are we Still Split on Tokenization? 2024 ·IT University Of Copenhagen (IT University of Copenhagen) ·Rob van der Goot	1
2	Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings 2024 ·arXiv (Cornell University) ·(unknown), (unknown), Rob van der Goot, Barbara Plank	1
3	Native Language Prediction from Gaze: a Reproducibility Study 2023 ·IT University Of Copenhagen (IT University of Copenhagen) ·(unknown), (unknown), (unknown), Maria Barrett, Rob van der Goot	1
4	Silver Syntax Pre-training for Cross-Domain Relation Extraction 2023 ·IT University Of Copenhagen (IT University of Copenhagen) ·(unknown), Filip Ginter, Sampo Pyysalo, Rob van der Goot, Barbara Plank	0
5	Establishing Trustworthiness: Rethinking Tasks and Model Evaluation 2023 ·(unknown), (unknown), Rob van der Goot, Leon Weber, Barbara Plank	2
6	ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain 2023 ·Open access LMU (Ludwid Maxmilian's Universitat Munchen) ·(unknown), Rob van der Goot, Barbara Plank	2
7	Findings of the VarDial Evaluation Campaign 2023 2023 ·IT University Of Copenhagen (IT University of Copenhagen) ·(unknown), Çağrı Çöltekin, Rob van der Goot, Tommi Jauhiainen, (unknown), Nikola Ljubešić, (unknown), Barbara Plank, Yves Scherrer, Marcos Zampieri	17
8	MaChAmp at SemEval-2023 tasks 2, 3, 4, 5, 7, 8, 9, 10, 11, and 12: On the Effectiveness of Intermediate Training on an Uncurated Collection of Datasets. 2023 ·IT University Of Copenhagen (IT University of Copenhagen) ·Rob van der Goot	0
9	Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings 2022 ·IT University Of Copenhagen (IT University of Copenhagen) ·Rob van der Goot, (unknown), Barbara Plank	1
10	Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data 2022 ·IT University Of Copenhagen (IT University of Copenhagen) ·(unknown), (unknown), Rob van der Goot	1
11	On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers 2022 ·IT University Of Copenhagen (IT University of Copenhagen) ·Tanja Samardżić, (unknown), Rob van der Goot, (unknown), (unknown), Barbara Plank	0
12	Challenges in Annotating and Parsing Spoken, Code-switched, Frisian-Dutch Data 2021 ·IT University Of Copenhagen (IT University of Copenhagen) ·(unknown), Rob van der Goot	3
13	CL-MoNoise: Cross-lingual Lexical Normalization 2021 ·Rob van der Goot	2
14	Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data? 2020 ·Language Resources and Evaluation ·(unknown), Rob van der Goot	3
15	Norm It! : Lexical Normalization for Italian and Its Downstream Effects for Dependency Parsing 2020 ·University of Groningen research database (University of Groningen / Centre for Information Technology) ·Rob van der Goot, (unknown), Tommaso Caselli, (unknown), (unknown)	7
16	A Taxonomy for In-depth Evaluation of Normalization for User Generated Content 2018 ·Language Resources and Evaluation ·Rob van der Goot, Rik van Noord, Gertjan van Noord	7
17	Modeling Input Uncertainty in Neural Network Dependency Parsing 2018 ·Rob van der Goot, Gertjan van Noord	5
18	MoNoise: Modeling Noise Using a Modular Normalization System. 2017 ·University of Groningen research database (University of Groningen / Centre for Information Technology) ·Rob van der Goot, Gertjan van Noord	15
19	Normalizing Social Media Texts by Combining Word Embeddings and Edit Distances in a Random Forest Regressor 2016 ·University of Groningen research database (University of Groningen / Centre for Information Technology) ·Rob van der Goot	2
20	The denoised web treebank: evaluating dependency parsing under noisy input conditions 2016 ·Language Resources and Evaluation ·Rob van der Goot, Joachim Daiber	9

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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