Tijn van der Zant

770 total citations
19 papers, 386 citations indexed

About

Tijn van der Zant is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tijn van der Zant has authored 19 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Tijn van der Zant's work include Modular Robots and Swarm Intelligence (5 papers), Neural Networks and Applications (4 papers) and Handwritten Text Recognition Techniques (4 papers). Tijn van der Zant is often cited by papers focused on Modular Robots and Swarm Intelligence (5 papers), Neural Networks and Applications (4 papers) and Handwritten Text Recognition Techniques (4 papers). Tijn van der Zant collaborates with scholars based in Netherlands, Germany and Italy. Tijn van der Zant's co-authors include Luca Iocchi, Lambert Schomaker, Koen V. Haak, Stefan Schiffer, Marius Bulacu, Javier Ruiz‐del‐Solar, Paul G. Plöger, Dirk Holz, Komei Sugiura and Peter Stone and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Lecture notes in computer science.

In The Last Decade

Tijn van der Zant

19 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tijn van der Zant Netherlands 11 197 183 103 57 49 19 386
Beomjoon Kim South Korea 14 218 1.1× 191 1.0× 141 1.4× 25 0.4× 41 0.8× 32 435
Felix Duvallet United States 9 113 0.6× 117 0.6× 95 0.9× 42 0.7× 47 1.0× 14 267
Maurizio Di Rocco Italy 10 95 0.5× 101 0.6× 53 0.5× 50 0.9× 51 1.0× 21 273
Aleksandar Jevtić Spain 13 155 0.8× 127 0.7× 119 1.2× 25 0.4× 65 1.3× 36 450
Young-Jo Cho South Korea 10 177 0.9× 54 0.3× 137 1.3× 46 0.8× 26 0.5× 59 362
Timothée Lesort France 5 136 0.7× 313 1.7× 76 0.7× 36 0.6× 25 0.5× 7 459
Rebeca Marfil Spain 10 158 0.8× 76 0.4× 49 0.5× 22 0.4× 39 0.8× 46 288
Casey J. Helfrich United States 6 149 0.8× 67 0.4× 135 1.3× 19 0.3× 33 0.7× 7 396
Eri Sato-Shimokawara Japan 9 139 0.7× 107 0.6× 187 1.8× 28 0.5× 127 2.6× 122 421

Countries citing papers authored by Tijn van der Zant

Since Specialization
Citations

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

Fields of papers citing papers by Tijn van der Zant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tijn van der Zant

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

All Works

19 of 19 papers shown
1.
Saffiotti, Alessandro, Tijn van der Zant, Pedro U. Lima, et al.. (2017). RoCKIn - Benchmarking Through Robot Competitions. InTech eBooks. 3 indexed citations
2.
Iocchi, Luca, Dirk Holz, Javier Ruiz‐del‐Solar, Komei Sugiura, & Tijn van der Zant. (2015). RoboCup@Home: Analysis and results of evolving competitions for domestic and service robots. Artificial Intelligence. 229. 258–281. 49 indexed citations
3.
Iocchi, Luca, Javier Ruiz‐del‐Solar, & Tijn van der Zant. (2014). Advances in Domestic Service Robots in the Real World. Journal of Intelligent & Robotic Systems. 76(1). 3–4. 4 indexed citations
4.
Chen, Xiaoping, Peter Stone, Luis Enrique Sucar, & Tijn van der Zant. (2013). RoboCup 2012: Robot Soccer World Cup XVI. Lecture notes in computer science. 19 indexed citations
5.
Holz, Dirk, Luca Iocchi, & Tijn van der Zant. (2013). Benchmarking Intelligent Service Robots through Scientific Competitions: The RoboCup@Home Approach. IRIS Research product catalog (Sapienza University of Rome). 15 indexed citations
6.
Hoof, Herke van, Tijn van der Zant, & Marco Wiering. (2011). Adaptive Visual Face Tracking for an Autonomous Robot. University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations
7.
Iocchi, Luca, Javier Ruiz‐del‐Solar, & Tijn van der Zant. (2011). Domestic Service Robots in the Real World. Journal of Intelligent & Robotic Systems. 66(1-2). 183–186. 11 indexed citations
8.
Lallée, Stéphane, Séverin Lemaignan, Alexander Lenz, et al.. (2010). Towards a platform-independent cooperative human-robot interaction system: I. Perception. 4444–4451. 32 indexed citations
9.
Zant, Tijn van der, et al.. (2009). Where are the Search Engines for Handwritten Documents?. Interdisciplinary Science Reviews. 34(2-3). 224–235. 7 indexed citations
10.
Zant, Tijn van der, et al.. (2009). RoboCup@Home. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 10(3). 392–426. 67 indexed citations
11.
Bulacu, Marius, Axel Brink, Tijn van der Zant, & Lambert Schomaker. (2009). Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection. Data Archiving and Networked Services (DANS). 808–812. 11 indexed citations
12.
Zant, Tijn van der, Lambert Schomaker, & Koen V. Haak. (2008). Handwritten-Word Spotting Using Biologically Inspired Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(11). 1945–1957. 53 indexed citations
13.
Zant, Tijn van der, Lambert Schomaker, & E. A. Valentijn. (2007). <title>Large scale parallel document image processing</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6815. 68150S–68150S. 2 indexed citations
14.
Bulacu, Marius, et al.. (2007). Layout Analysis of Handwritten Historical Documents for Searching the Archive of the Cabinet of the Dutch Queen. Proceedings of the International Conference on Document Analysis and Recognition. 357–361. 47 indexed citations
15.
Zant, Tijn van der, Lambert Schomaker, Marco Wiering, & Axel Brink. (2006). Cognitive Developmental Pattern Recognition: Learning to learn. Utrecht University Repository (Utrecht University). 1208–1213. 1 indexed citations
16.
Zant, Tijn van der, et al.. (2005). On-line robot learning using the interval estimation algorithm. Utrecht University Repository (Utrecht University). 11–12. 1 indexed citations
17.
Ishii, Kazuo, et al.. (2004). Optimization of parameters of echo state network and its application to underwater robot. Society of Instrument and Control Engineers of Japan. 3. 2800–2805. 8 indexed citations
18.
Zant, Tijn van der, et al.. (2004). Identification of motion with echo state network. 1205–1210 Vol.3. 43 indexed citations
19.
Zant, Tijn van der, et al.. (2004). Finding good Echo State Networks to control an underwater robot using evolutionary computations. IFAC Proceedings Volumes. 37(8). 215–220. 12 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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