Volkmar Frinken

2.0k total citations
36 papers, 1.1k citations indexed

About

Volkmar Frinken is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Volkmar Frinken has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Volkmar Frinken's work include Handwritten Text Recognition Techniques (27 papers), Natural Language Processing Techniques (22 papers) and Image Processing and 3D Reconstruction (10 papers). Volkmar Frinken is often cited by papers focused on Handwritten Text Recognition Techniques (27 papers), Natural Language Processing Techniques (22 papers) and Image Processing and 3D Reconstruction (10 papers). Volkmar Frinken collaborates with scholars based in Switzerland, Japan and Spain. Volkmar Frinken's co-authors include Horst Bunke, Andreas Fischer, Andreas Keller, R. Manmatha, Seiichi Uchida, Alícia Fornés, Brian Kenji Iwana, Ching Y. Suen, Kaspar Riesen and Alejandro H. Toselli and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Volkmar Frinken

34 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
Volkmar Frinken Switzerland 18 972 557 132 109 49 36 1.1k
T.M. Rath United States 8 827 0.9× 448 0.8× 205 1.6× 89 0.8× 26 0.5× 9 1.1k
Anjan Dutta Spain 15 539 0.6× 245 0.4× 89 0.7× 80 0.7× 15 0.3× 36 646
Marçal Rusiñol Spain 18 766 0.8× 273 0.5× 33 0.3× 92 0.8× 24 0.5× 49 861
G. Raju India 15 412 0.4× 221 0.4× 49 0.4× 232 2.1× 41 0.8× 75 676
Haikal El Abed Germany 22 1.4k 1.4× 838 1.5× 70 0.5× 373 3.4× 197 4.0× 65 1.5k
Xiangpeng Li China 10 737 0.8× 400 0.7× 43 0.3× 25 0.2× 12 0.2× 28 888
Satoshi Naoi Japan 13 516 0.5× 164 0.3× 29 0.2× 165 1.5× 31 0.6× 81 649
Shang‐Hung Lin United States 7 442 0.5× 133 0.2× 191 1.4× 50 0.5× 16 0.3× 10 644
Showmik Bhowmik India 14 396 0.4× 166 0.3× 21 0.2× 174 1.6× 34 0.7× 26 540
K. Manikantan India 15 512 0.5× 100 0.2× 175 1.3× 104 1.0× 9 0.2× 59 664

Countries citing papers authored by Volkmar Frinken

Since Specialization
Citations

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

Fields of papers citing papers by Volkmar Frinken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volkmar Frinken

This figure shows the co-authorship network connecting the top 25 collaborators of Volkmar Frinken. A scholar is included among the top collaborators of Volkmar Frinken 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 Volkmar Frinken. Volkmar Frinken 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.
Iwana, Brian Kenji, Volkmar Frinken, & Seiichi Uchida. (2016). A Robust Dissimilarity-Based Neural Network for Temporal Pattern Recognition. 265–270. 7 indexed citations
2.
Toselli, Alejandro H., Enrique Vidal, Verónica Romero, & Volkmar Frinken. (2016). HMM word graph based keyword spotting in handwritten document images. Information Sciences. 370-371. 497–518. 36 indexed citations
3.
Frinken, Volkmar, et al.. (2015). Overwriting repetition and crossing-out detection in online handwritten text. 680–684. 5 indexed citations
4.
Frinken, Volkmar, et al.. (2014). Selective Concealment of Characters for Privacy Protection. 333–338. 8 indexed citations
5.
Rusiñol, Marçal, Volkmar Frinken, Dìmosthenis Karatzas, Andrew D. Bagdanov, & Josep Lladós. (2014). Multimodal page classification in administrative document image streams. International Journal on Document Analysis and Recognition (IJDAR). 17(4). 331–341. 23 indexed citations
6.
Frinken, Volkmar, et al.. (2014). Improving Point of View Scene Recognition by Considering Textual Data. 2966–2971. 2 indexed citations
7.
Uchida, Seiichi, et al.. (2014). Visual Saliency Models for Text Detection in Real World. PLoS ONE. 9(12). e114539–e114539. 11 indexed citations
8.
Fischer, Andreas, Ching Y. Suen, Volkmar Frinken, Kaspar Riesen, & Horst Bunke. (2014). Approximation of graph edit distance based on Hausdorff matching. Pattern Recognition. 48(2). 331–343. 72 indexed citations
9.
10.
Frinken, Volkmar, et al.. (2014). Design of Unsupervised Feature Extraction System for On-line Bangla Handwriting Recognition. 355–359. 8 indexed citations
11.
Zamora-Martínez, Francisco, Volkmar Frinken, Salvador España-Boquera, et al.. (2013). Neural network language models for off-line handwriting recognition. Pattern Recognition. 47(4). 1642–1652. 42 indexed citations
12.
Frinken, Volkmar, Andreas Fischer, & Carlos-D. Martínez-Hinarejos. (2013). Handwriting recognition in historical documents using very large vocabularies. RiuNet (Politechnical University of Valencia). 67–72. 8 indexed citations
13.
Frinken, Volkmar, et al.. (2012). Mode Detection in Online Handwritten Documents Using BLSTM Neural Networks. 302–307. 27 indexed citations
14.
Romero, Verónica, Alícia Fornés, Nicolás Serrano, et al.. (2012). The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition. Pattern Recognition. 46(6). 1658–1669. 63 indexed citations
15.
Frinken, Volkmar, et al.. (2011). Co-training for Handwritten Word Recognition. 15 indexed citations
16.
Fischer, Andreas, Andreas Keller, Volkmar Frinken, & Horst Bunke. (2011). Lexicon-free handwritten word spotting using character HMMs. Pattern Recognition Letters. 33(7). 934–942. 177 indexed citations
17.
Frinken, Volkmar, Andreas Fischer, R. Manmatha, & Horst Bunke. (2011). A Novel Word Spotting Method Based on Recurrent Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(2). 211–224. 182 indexed citations
18.
Fischer, Andreas, Volkmar Frinken, Alícia Fornés, & Horst Bunke. (2011). Transcription alignment of Latin manuscripts using hidden Markov models. 29–36. 75 indexed citations
19.
Fornés, Alícia, et al.. (2011). A keyword spotting approach using blurred shape model-based descriptors. 83–90. 15 indexed citations
20.
Fischer, Andreas, Andreas Keller, Volkmar Frinken, & Horst Bunke. (2010). HMM-based Word Spotting in Handwritten Documents Using Subword Models. 3416–3419. 71 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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