Lambert Schomaker

8.3k total citations
207 papers, 4.9k citations indexed

About

Lambert Schomaker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Lambert Schomaker has authored 207 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Computer Vision and Pattern Recognition, 62 papers in Artificial Intelligence and 28 papers in Human-Computer Interaction. Recurrent topics in Lambert Schomaker's work include Handwritten Text Recognition Techniques (102 papers), Image Processing and 3D Reconstruction (55 papers) and Image Retrieval and Classification Techniques (30 papers). Lambert Schomaker is often cited by papers focused on Handwritten Text Recognition Techniques (102 papers), Image Processing and 3D Reconstruction (55 papers) and Image Retrieval and Classification Techniques (30 papers). Lambert Schomaker collaborates with scholars based in Netherlands, United States and Germany. Lambert Schomaker's co-authors include Marius Bulacu, L.G. Vuurpijl, Sheng He, Marco Wiering, Merijn van Erp, Axel Brink, Réjean Plamondon, Sheng He, Olarik Surinta and Gerard P. van Galen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Lambert Schomaker

195 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lambert Schomaker Netherlands 39 3.5k 1.4k 927 501 474 207 4.9k
Rynson W. H. Lau Hong Kong 37 4.5k 1.3× 786 0.6× 955 1.0× 304 0.6× 193 0.4× 265 6.4k
Marcos Faúndez-Zanuy Spain 30 1.6k 0.5× 900 0.6× 292 0.3× 336 0.7× 414 0.9× 157 3.7k
Tom Gedeon Australia 30 2.1k 0.6× 1.4k 1.0× 187 0.2× 443 0.9× 684 1.4× 214 5.0k
Stefanos Kollias Greece 34 2.8k 0.8× 1.7k 1.2× 189 0.2× 452 0.9× 638 1.3× 306 5.8k
Réjean Plamondon Canada 41 5.0k 1.4× 1.9k 1.4× 1.2k 1.3× 1.7k 3.4× 1.7k 3.6× 195 7.8k
Gholamreza Anbarjafari Estonia 29 1.9k 0.5× 291 0.2× 693 0.7× 312 0.6× 209 0.4× 146 3.2k
Alessandro Vinciarelli United Kingdom 32 1.7k 0.5× 2.0k 1.4× 194 0.2× 424 0.8× 503 1.1× 182 4.8k
Horace H. S. Ip Hong Kong 29 1.8k 0.5× 510 0.4× 205 0.2× 246 0.5× 270 0.6× 219 3.4k
Antoni B. Chan Hong Kong 43 5.2k 1.5× 2.7k 1.9× 325 0.4× 259 0.5× 525 1.1× 163 6.8k
Jean‐Marc Odobez Switzerland 33 3.4k 1.0× 1.2k 0.8× 342 0.4× 1.0k 2.1× 217 0.5× 200 5.0k

Countries citing papers authored by Lambert Schomaker

Since Specialization
Citations

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

Fields of papers citing papers by Lambert Schomaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lambert Schomaker

This figure shows the co-authorship network connecting the top 25 collaborators of Lambert Schomaker. A scholar is included among the top collaborators of Lambert Schomaker 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 Lambert Schomaker. Lambert Schomaker 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.
Chicca, Elisabetta, et al.. (2025). Fused-MemBrain: a spiking processor combining CMOS and self-assembled memristive networks. Neuromorphic Computing and Engineering. 5(2). 24002–24002. 1 indexed citations
2.
Schomaker, Lambert, et al.. (2025). Tree networks of real-world data: Analysis of efficiency and spatiotemporal scales. Physical Review Research. 7(3).
3.
Popović, Mladen, Lambert Schomaker, Kaare Lund Rasmussen, et al.. (2025). Dating ancient manuscripts using radiocarbon and AI-based writing style analysis. PLoS ONE. 20(6). e0323185–e0323185.
4.
Schomaker, Lambert, et al.. (2024). Performance Analysis of Handwritten Text Augmentation on Style-Based Dating of Historical Documents. SN Computer Science. 5(4). 1 indexed citations
5.
Schomaker, Lambert, et al.. (2024). Learning to Walk With Deep Reinforcement Learning: Forward Dynamic Simulation of a Physics-Based Musculoskeletal Model of an Osseointegrated Transfemoral Amputee. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 431–441. 2 indexed citations
6.
Zhang, Zhenxing & Lambert Schomaker. (2023). Optimizing and interpreting the latent space of the conditional text-to-image GANs. Neural Computing and Applications. 36(5). 2549–2572. 4 indexed citations
7.
Schomaker, Lambert, et al.. (2023). Conduction and entropy analysis of a mixed memristor-resistor model for neuromorphic networks. SHILAP Revista de lepidopterología. 3(3). 34001–34001. 3 indexed citations
8.
Schomaker, Lambert, et al.. (2023). How to Limit Label Dissipation in Neural-network Validation: Exploring Label-free Early-stopping Heuristics. Journal on Computing and Cultural Heritage. 16(1). 1–20. 2 indexed citations
9.
Schomaker, Lambert, et al.. (2023). Organoids Segmentation using Self-Supervised Learning: How Complex Should the Pretext Task Be?. University of Groningen research database (University of Groningen / Centre for Information Technology). 17–27. 2 indexed citations
10.
Schomaker, Lambert, et al.. (2023). Correction to: A Limited-size ensemble of homogeneous CNN/LSTMS for high-performance word classification. Neural Computing and Applications. 35(27). 20443–20444.
11.
Schomaker, Lambert, et al.. (2022). IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks. Sensors. 22(22). 8871–8871. 11 indexed citations
12.
Schomaker, Lambert, et al.. (2022). A Comparison of Different U-Net Models for Segmentation of Overlapping Organoids. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–10.
13.
Schomaker, Lambert, et al.. (2021). A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification. Neural Computing and Applications. 33(14). 8615–8634. 5 indexed citations
14.
Okafor, Emmanuel, et al.. (2020). One-vs-One classification for deep neural networks. Pattern Recognition. 108. 107528–107528. 53 indexed citations
15.
Dijkstra, Klaas, et al.. (2019). CentroidNet : A Deep Neural Network for Joint Object Localization and Counting. Lecture notes in computer science. 11053. 3 indexed citations
16.
Okafor, Emmanuel, Lambert Schomaker, & Marco Wiering. (2018). An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals. Journal of Information and Telecommunication. 2(4). 465–491. 21 indexed citations
17.
He, Sheng, et al.. (2016). Image-based historical manuscript dating using contour and stroke fragments. Pattern Recognition. 58. 159–171. 32 indexed citations
18.
He, Sheng, Marco Wiering, & Lambert Schomaker. (2015). Junction detection in handwritten documents and its application to writer identification. Pattern Recognition. 48(12). 4036–4048. 79 indexed citations
19.
Erp, Merijn van & Lambert Schomaker. (2000). Variants of the Borda count method for combining ranked classifier hypotheses. University of Groningen research database (University of Groningen / Centre for Information Technology). 443–452. 88 indexed citations
20.
Galen, Gerard P. van, et al.. (1990). Effects of motor programming on the power spectral density function of finger and wrist movements.. Journal of Experimental Psychology Human Perception & Performance. 16(4). 755–765. 68 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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