Andreas Humm

436 total citations
10 papers, 77 citations indexed

About

Andreas Humm is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Andreas Humm has authored 10 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Andreas Humm's work include Handwritten Text Recognition Techniques (8 papers), User Authentication and Security Systems (5 papers) and Speech Recognition and Synthesis (4 papers). Andreas Humm is often cited by papers focused on Handwritten Text Recognition Techniques (8 papers), User Authentication and Security Systems (5 papers) and Speech Recognition and Synthesis (4 papers). Andreas Humm collaborates with scholars based in Switzerland and France. Andreas Humm's co-authors include Rolf Ingold, Jean Hennebert, Bruno Dumas, Dijana Petrovska‐Delacrétaz, Florian Évéquoz and François Du Toit and has published in prestigious journals such as IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Proceedings of the International Conference on Document Analysis and Recognition.

In The Last Decade

Andreas Humm

9 papers receiving 73 citations

Peers

Andreas Humm
Comparison fields: 5 of 12
  • Computer Vision and Pattern Recognition 63
  • Signal Processing 50
  • Information Systems 36
  • Artificial Intelligence 26
  • Human-Computer Interaction 8
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Paulo Villegas Spain
Hervé Bredin France
Donna Dodson United States
Wei-Hong Chuang United States
Kerstin Lemke‐Rust Germany
Artur Costa‐Pazo Spain
Asem Othman United States
Marlène Villanova-Oliver France
Andrés Fortier Argentina
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Citations per field, relative to Andreas Humm
Andreas Humm · 1×
Citations per year, relative to Andreas Humm
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Countries citing papers authored by Andreas Humm

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Humm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Humm

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 1
3 22
4 3
5 4
6 4
7
MyIdea - Sensors Specifications and Acquisition Protocol
4
8
Scenario and Survey of Combined Handwriting and Speech Modalities for User Authentication
6
9
A novel method to generate Brute-Force Signature Forgeries
1
10
MYIDEA - MULTIMODAL BIOMETRICS DATABASE, DESCRIPTION OF ACQUISITION PROTOCOLS
32

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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