Martin Heckmann

878 citations
68 papers · 593 indexed · h-index 14

Impact in

Papers in

Martin Heckmann

58 papers receiving 528 citations

Peers

Martin Heckmann
Comparison fields: 5 of 61
  • Signal Processing 328
  • Automotive Engineering 111
  • Artificial Intelligence 180
  • Computer Vision and Pattern Recognition 107
  • Social Psychology 86
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Katsunobu Itou Japan
Norihide Kitaoka Japan
Pongtep Angkititrakul United States
Dorothea Kolossa Germany
Rajan Shankaran Australia
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Amardeep Sathyanarayana United States
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Citations per field
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Citations per year

Countries citing papers authored by Martin Heckmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Heckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Heckmann, 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 Martin Heckmann Line = papers co-authored together Martin Heckmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
MyFixit: An Annotated Dataset, Annotation Tool, and Baseline Methods for Information Extraction from Repair Manuals
20200
2 2019102
3
"Gap after the next two vehicles": A Spatio-temporally Situated Dialog for a Cooperative Driving Assistant.
20182
4 201719
5
Balancing gaussianity and sparseness in feature-space speaker adaptation for word prominence detection
20162
6
Spectro-temporal features with distribution equalization.
20120
7 201210
8 20111
9 201113
10
Learning a Probabilistic Error Detection Model for Robotic Systems
20101
11
Robust Formant Tracking in Echoic and Noisy Environments.
20100
12
Supervised vs. unsupervised learning of spectro temporal speech features.
20102
13 201015
14 20098
15 200819
16
A hierarchical model for syllable recognition
20074
17
Effects of image distortions on audio-visual speech recognition.
20034
18
Lip parameter extraction for speechreading
20020
19 20026
20
A hybrid ANN/HMM audio-visual speech recognition system.
200113

About Martin Heckmann

Martin Heckmann is a scholar working on Signal Processing, Automotive Engineering, Artificial Intelligence, Human-Computer Interaction and Software, having authored 68 papers that have together received 593 indexed citations. Recurring topics across this work include Speech and Audio Processing (41 papers), Music and Audio Processing (25 papers), Speech Recognition and Synthesis (15 papers), Blind Source Separation Techniques (12 papers), Speech and dialogue systems (9 papers), Autonomous Vehicle Technology and Safety (7 papers), Human-Automation Interaction and Safety (6 papers) and Advanced Adaptive Filtering Techniques (5 papers). The work is most often cited by research in Signal Processing (328 citations), Automotive Engineering (111 citations), Artificial Intelligence (180 citations), Computer Vision and Pattern Recognition (107 citations) and Social Psychology (86 citations). Martin Heckmann has collaborated with scholars based in Germany, Japan and France. Frequent co-authors include Kristian Kroschel, Frédéric Berthommier, Frank Joublin, Heiko Wersing, Christian Goerick, Martina Hasenjäger, Tobias Rodemann, Christophe Savariaux, Dorothea Kolossa and Marc Hanheide. Their work appears in journals such as Speech Communication, Computer Speech & Language, Transportation Science, IEEE Transactions on Intelligent Vehicles and Language Resources and Evaluation.

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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