Thomas Esch

1.7k citations
25 papers · 246 · h-index 6

Impact in

Papers in

Thomas Esch

21 papers receiving 223 citations

Peers

Thomas Esch
Comparison fields: 5 of 51
  • Signal Processing 99
  • Computational Mechanics 94
  • Organic Chemistry 75
  • Environmental Engineering 32
  • Cognitive Neuroscience 37
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Citations per year

Countries citing papers authored by Thomas Esch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Esch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Thomas Esch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Esch Line = papers co-authored together Thomas Esch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199390
2 200953
3 202038
4 200817
5 20117
6
Exploiting Temporal Correlation of Speech and Noise Magnitudes Using a Modified Kalman Filter for Speech Enhancement
20116
7
A stochastic particle-particle collision model for dense gas-particle flows implemented in the Lagrangian solver of ANSYS CFX and its validation
20074
8
A Modified Minimum Statistics Algorithm for Reducing Time Varying Harmonic Noise
20103
9 20103
10 20103
11
Model-based speech enhancement exploiting temporal and spectral dependencies
20123
12
Potenzialanalyse zum Aufbau von Wärmenetzen unter Auswertung siedlungsstruktureller Merkmale
20113
13
Noise Reduction for Wideband Speech Exploiting Spectral Dependencies Based on Conditional Estimation
20102
14 20222
15 20102
16 20222
17 20241
18 20121
19
Dual channel reduction of rapidly varying harmonic and random noise using a spot microphone
20111
20 20121

About Thomas Esch

Thomas Esch is a scholar working on Signal Processing, Computational Mechanics, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 246 indexed citations. Recurring topics across this work include Speech and Audio Processing (13 papers), Advanced Adaptive Filtering Techniques (12 papers), Music and Audio Processing (4 papers), Microgrid Control and Optimization (2 papers), Blind Source Separation Techniques (2 papers), Real-time simulation and control systems (2 papers), Acoustic Wave Phenomena Research (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (99 citations), Computational Mechanics (94 citations), Organic Chemistry (75 citations), Environmental Engineering (32 citations) and Cognitive Neuroscience (37 citations). Thomas Esch has collaborated with scholars based in Germany, Norway and Isle of Man. Frequent co-authors include Peter Vary, Eberhard Steckhan, Wieke Heldens, Matthias Sühring, Björn Maronga, Cornelia Burmeister, Julian Zeidler, Dirk Pavlik, Farah Kanani-Sühring and Michael Wurm. Their work appears in journals such as Food & Function, World Development, IEEE Signal Processing Letters, Geoscientific model development and at - Automatisierungstechnik.

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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