H. Leich

402 total citations
33 papers, 254 citations indexed

About

H. Leich is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, H. Leich has authored 33 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in H. Leich's work include Speech and Audio Processing (13 papers), Digital Filter Design and Implementation (11 papers) and Advanced Data Compression Techniques (10 papers). H. Leich is often cited by papers focused on Speech and Audio Processing (13 papers), Digital Filter Design and Implementation (11 papers) and Advanced Data Compression Techniques (10 papers). H. Leich collaborates with scholars based in Belgium. H. Leich's co-authors include Thierry Dutoit, Thomas Dutoit, Hervé Bourlard, Jun He, C. Ris, Jean Hennebert, M. Hasler and Olivier Deroo and has published in prestigious journals such as Electronics Letters, Signal Processing and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

H. Leich

29 papers receiving 204 citations

Peers

H. Leich
Comparison fields: 5 of 39
  • Signal Processing 184
  • Artificial Intelligence 126
  • Computer Vision and Pattern Recognition 79
  • Computational Mechanics 57
  • Experimental and Cognitive Psychology 38
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T.E. Tremain United States
Martín Hagmüller Austria
A. Sekey United States
W. Verhelst Belgium
P. Kohn United States
Aruna Bayya United States
Yasunari Obuchi Japan
Akira Kurematsu Japan
R.J. Sluyter Netherlands
E. Yair Israel View profile →
Citations per field, relative to H. Leich
H. Leich · 1×
Citations per year, relative to H. Leich
H. Leich · 1×

Countries citing papers authored by H. Leich

Since Specialization
Citations

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

Fields of papers citing papers by H. Leich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Leich

This figure shows the co-authorship network connecting the top 25 collaborators of H. Leich. A scholar is included among the top collaborators of H. Leich 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 H. Leich. H. Leich 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
# Work Indexed citations
1
High Quality Text-To-Speech Synthesis of the French Language
15
2 3
3 0
4 1
5 4
6 2
7 1
8 1
9
Traitement de la Parole
38
10 4
11 7
12
Influence of vector quantization on isolated word recognition
7
13
A simple and efficient object oriented block programming (OOBP) paradigm for signal processing software development
1
14 4
15
A reliable postprocessor for pitch determination algorithms
1
16 4
17 5
18 37
19 1
20 7

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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