L.G. Vuurpijl

2.0k total citations
58 papers, 1.2k citations indexed

About

L.G. Vuurpijl is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, L.G. Vuurpijl has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in L.G. Vuurpijl's work include Handwritten Text Recognition Techniques (26 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (13 papers). L.G. Vuurpijl is often cited by papers focused on Handwritten Text Recognition Techniques (26 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (13 papers). L.G. Vuurpijl collaborates with scholars based in Netherlands, Germany and United States. L.G. Vuurpijl's co-authors include Lambert Schomaker, Ralph Niels, Merijn van Erp, Marius Bulacu, Marcel van Gerven, Katrin Franke, Pim Haselager, Peter Desain, Anton Nijholt and Egon L. van den Broek and has published in prestigious journals such as Pattern Recognition, Future Generation Computer Systems and Forensic Science International.

In The Last Decade

L.G. Vuurpijl

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.G. Vuurpijl Netherlands 17 725 397 274 183 161 58 1.2k
Hatim Aboalsamh Saudi Arabia 20 567 0.8× 300 0.8× 272 1.0× 73 0.4× 104 0.6× 97 1.3k
Yousef Al-Ohali Saudi Arabia 14 255 0.4× 402 1.0× 275 1.0× 112 0.6× 66 0.4× 35 1.1k
Don Kimber United States 20 689 1.0× 209 0.5× 133 0.5× 263 1.4× 29 0.2× 69 1.2k
Josef Scharinger Austria 15 250 0.3× 124 0.3× 228 0.8× 60 0.3× 131 0.8× 64 829
Lijuan Duan China 19 420 0.6× 250 0.6× 321 1.2× 44 0.2× 83 0.5× 95 1.1k
Antonio Chella Italy 23 289 0.4× 645 1.6× 378 1.4× 91 0.5× 26 0.2× 169 1.5k
Uma Shanker Tiwary India 17 348 0.5× 197 0.5× 291 1.1× 166 0.9× 175 1.1× 73 1.1k
Mohammad Ali Akhaee Iran 19 841 1.2× 99 0.2× 224 0.8× 72 0.4× 97 0.6× 96 1.3k
Zhiyong Yang China 16 367 0.5× 363 0.9× 345 1.3× 26 0.1× 74 0.5× 92 1.1k
Chien-Hsing Chou Taiwan 13 459 0.6× 492 1.2× 124 0.5× 116 0.6× 96 0.6× 58 1.1k

Countries citing papers authored by L.G. Vuurpijl

Since Specialization
Citations

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

Fields of papers citing papers by L.G. Vuurpijl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.G. Vuurpijl. 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 L.G. Vuurpijl. The network helps show where L.G. Vuurpijl may publish in the future.

Co-authorship network of co-authors of L.G. Vuurpijl

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

All Works

20 of 20 papers shown
1.
Heuvel, C.E. van den, et al.. (2009). The ICDAR 2009 Signature Verification Competition. 1403–1407. 24 indexed citations
2.
Heuvel, C.E. van den, et al.. (2009). ICDAR 2009 Signature Verification Competition. Radboud Repository (Radboud University). 1403–1407. 54 indexed citations
3.
Niels, Ralph, et al.. (2008). The NicIcon database of handwritten icons. Data Archiving and Networked Services (DANS). 296–301. 13 indexed citations
4.
Niels, Ralph, F.A. Grootjen, & L.G. Vuurpijl. (2008). Writer identification through information retrieval: the allograph weight vector. Radboud Repository (Radboud University). 481–486. 18 indexed citations
5.
Broek, Egon L. van den, et al.. (2008). Human-centered content-based image retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6806. 68061L–68061L. 10 indexed citations
6.
Vuurpijl, L.G., et al.. (2007). Designing interactive maps for crisis management. Data Archiving and Networked Services (DANS). 159–166. 4 indexed citations
7.
Fitrianie, Siska, Ronald Poppe, Dragoş Datcu, et al.. (2007). A Multimodal Human-Computer Interaction Framework for Research into Crisis Management. University of Twente Research Information. 149–158. 9 indexed citations
8.
Niels, Ralph, et al.. (2007). Writer identification by means of explainable features: shapes of loops and lead-in strokes. Data Archiving and Networked Services (DANS). 17–24. 6 indexed citations
9.
Niels, Ralph & L.G. Vuurpijl. (2006). Automatic trajectory extraction and validation of scanned handwritten characters. Radboud Repository (Radboud University). 343–348. 5 indexed citations
10.
Vuurpijl, L.G., et al.. (2006). Pen Gestures in Online Map and Photograph Annotation Tasks. Radboud Repository (Radboud University). 397–402. 6 indexed citations
11.
Vuurpijl, L.G., et al.. (2004). Support vector machines for the classification of western handwritten capitals. University of Groningen research database (University of Groningen / Centre for Information Technology). 167–176. 13 indexed citations
12.
Vuurpijl, L.G., et al.. (2004). User-Centered Interaction Paradigms for Universal Access in the Information Society. Lecture notes in computer science. 16 indexed citations
13.
Heskes, Tom, Peter Lucas, L.G. Vuurpijl, & Wim Wiegerinck. (2003). BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference. Data Archiving and Networked Services (DANS). 1 indexed citations
14.
Broek, Egon L. van den, et al.. (2003). Modeling human color categorization: Color discrimination and color memory. University of Twente Research Information. 59–66. 8 indexed citations
15.
Rossignol, Stéphane, et al.. (2003). Human-Factors issues in multi-modal interaction in complex design tasks. PUB – Publications at Bielefeld University (Bielefeld University). 79–80. 3 indexed citations
16.
Franke, Katrin, Lambert Schomaker, & L.G. Vuurpijl. (2003). FISH-new: A common ground for computer-based forensic writer identification. Forensic Science International. 136. 84–84. 5 indexed citations
17.
Ruiter, Jan P. de, Stéphane Rossignol, L.G. Vuurpijl, Douglas W. Cunningham, & Willem J. M. Levelt. (2003). SLOT: A research platform for investigating multimodal communication. Behavior Research Methods, Instruments, & Computers. 35(3). 408–419. 11 indexed citations
18.
Vuurpijl, L.G. & Lambert Schomaker. (2000). TWO-STAGE CHARACTER CLASSIFICATION: A COMBINED APPROACH OF CLUSTERING AND SUPPORT VECTOR CLASSIFIERS. University of Groningen research database (University of Groningen / Centre for Information Technology). 12 indexed citations
19.
Schomaker, Lambert, L.G. Vuurpijl, & Lambert Schomaker. (2000). Forensic writer identification: a benchmark data set and a comparison of two systems. University of Groningen research database (University of Groningen / Centre for Information Technology). 51 indexed citations
20.
Schomaker, Lambert, et al.. (1999). New use for the pen: outline-based image queries. Data Archiving and Networked Services (DANS). 293–296. 11 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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