Urs-Viktor Marti

2.5k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Urs-Viktor Marti is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Urs-Viktor Marti has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Urs-Viktor Marti's work include Handwritten Text Recognition Techniques (7 papers), Vehicle License Plate Recognition (5 papers) and Natural Language Processing Techniques (3 papers). Urs-Viktor Marti is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Vehicle License Plate Recognition (5 papers) and Natural Language Processing Techniques (3 papers). Urs-Viktor Marti collaborates with scholars based in Switzerland, Dominican Republic and Türkiye. Urs-Viktor Marti's co-authors include Horst Bunke, Hazım Kemal Ekenel, Claudiu Musat, Behzad Bozorgtabar and Jean‐Philippe Thiran and has published in prestigious journals such as Neurocomputing, International Journal on Document Analysis and Recognition (IJDAR) and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

Urs-Viktor Marti

8 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The IAM-database: an English sentence database for offline handwriting recognition

2002 808 citations Urs-Viktor Marti, Horst Bunke International Journal on Document Analysis and Recognition (IJDAR) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Urs-Viktor Marti Switzerland	8	1.4k	702	423	160	62	8	1.5k
Marius Bulacu Netherlands	17	1.4k 0.9×	412 0.6×	458 1.1×	128 0.8×	94 1.5×	22	1.4k
Edson Justino Brazil	15	894 0.6×	431 0.6×	285 0.7×	68 0.4×	128 2.1×	38	1.1k
S.D. Connell United States	7	535 0.4×	213 0.3×	152 0.4×	124 0.8×	114 1.8×	11	627
Saad Bin Ahmed Pakistan	15	601 0.4×	249 0.4×	382 0.9×	59 0.4×	44 0.7×	38	741
Verónica Romero Spain	15	630 0.4×	330 0.5×	101 0.2×	62 0.4×	37 0.6×	59	717
Apostolos Antonacopoulos United Kingdom	22	1.3k 0.9×	213 0.3×	186 0.4×	25 0.2×	89 1.4×	74	1.4k
R.M.K. Sinha India	16	618 0.4×	436 0.6×	305 0.7×	80 0.5×	21 0.3×	45	834
Christian Viard-Gaudin France	13	662 0.5×	312 0.4×	144 0.3×	93 0.6×	30 0.5×	43	745
Fatoş T. Yarman-Vural Türkiye	9	603 0.4×	177 0.3×	295 0.7×	46 0.3×	11 0.2×	32	668
Markus Koskela Finland	14	591 0.4×	173 0.2×	67 0.2×	73 0.5×	37 0.6×	47	716

Countries citing papers authored by Urs-Viktor Marti

Since Specialization

Citations

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

Fields of papers citing papers by Urs-Viktor Marti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urs-Viktor Marti. 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 Urs-Viktor Marti. The network helps show where Urs-Viktor Marti may publish in the future.

Co-authorship network of co-authors of Urs-Viktor Marti

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bozorgtabar, Behzad, et al.. (2019). Benefiting from multitask learning to improve single image super-resolution. Neurocomputing. 398. 304–313. 9 indexed citations

2.

Marti, Urs-Viktor & Horst Bunke. (2002). On the influence of vocabulary size and language models in unconstrained handwritten text recognition. 260–265. 25 indexed citations

3.

Marti, Urs-Viktor & Horst Bunke. (2002). The IAM-database: an English sentence database for offline handwriting recognition. International Journal on Document Analysis and Recognition (IJDAR). 5(1). 39–46. 808 indexed citations breakdown →

4.

Marti, Urs-Viktor & Horst Bunke. (2002). Text line segmentation and word recognition in a system for general writer independent handwriting recognition. 159–163. 52 indexed citations

5.

Marti, Urs-Viktor & Horst Bunke. (2002). Handwritten sentence recognition. 3. 463–466. 56 indexed citations

6.

Marti, Urs-Viktor, et al.. (2002). Writer identification using text line based features. 101–105. 111 indexed citations

7.

Marti, Urs-Viktor & Horst Bunke. (2001). USING A STATISTICAL LANGUAGE MODEL TO IMPROVE THE PERFORMANCE OF AN HMM-BASED CURSIVE HANDWRITING RECOGNITION SYSTEM. International Journal of Pattern Recognition and Artificial Intelligence. 15(1). 65–90. 284 indexed citations

8.

Marti, Urs-Viktor & Horst Bunke. (1999). A full English sentence database for off-line handwriting recognition. 705–708. 156 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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