Maria E. Niessen

1.2k citations
16 papers · 540 · h-index 7

Impact in

Papers in

Maria E. Niessen

14 papers receiving 516 citations

Peers

Maria E. Niessen
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 219
  • Signal Processing 94
  • Artificial Intelligence 176
  • Human-Computer Interaction 19
  • Transportation 21
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Dongil Shin South Korea
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Citations per year

Countries citing papers authored by Maria E. Niessen

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Niessen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Niessen. 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 Maria E. Niessen. The network helps show where Maria E. Niessen may publish in the future.

Co-authors

The 18 scholars most cited alongside Maria E. Niessen, 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 Maria E. Niessen Line = papers co-authored together Maria E. Niessen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Proceedings of the 2009 International Conference on Artificial Intelligence
2009235
2 2016212
3 200821
4 201320
5 200919
6 20148
7 20087
8
Real-world sound recognition : A recipe
20064
9 20133
10
Context-based sound event recognition
20103
11 20163
12
Expectancy-based robot navigation through context evaluation
20092
13
Robust harmonic complex estimation in noise.
20072
14
Proceedings of the 10th Annual International Conference on Digital Government Research, Partnerships for Public Innovation
20091
15 20080
16
Assessing the reverberation level in speech.
20070

About Maria E. Niessen

Maria E. Niessen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 16 papers that have together received 540 indexed citations. Recurring topics across this work include Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers), Speech Recognition and Synthesis (3 papers), Hearing Loss and Rehabilitation (3 papers), Context-Aware Activity Recognition Systems (2 papers), Music Technology and Sound Studies (2 papers), IoT-based Smart Home Systems (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Signal Processing (94 citations), Artificial Intelligence (176 citations), Human-Computer Interaction (19 citations) and Transportation (21 citations). Maria E. Niessen has collaborated with scholars based in Netherlands, Germany and Türkiye. Frequent co-authors include Tjeerd Andringa, Sjoerd de Jong, Andreas Merentitis, Christian Debes, Nikolaos Frangiadakis, Alexander Bauer, Sergey Sukhanov, Leendert van Maanen, T.L.M. van Kasteren and Hande Alemdar. Their work appears in journals such as IEEE Signal Processing Magazine, The Journal of the Acoustical Society of America, Acta acustica united with Acustica, Pattern Recognition Letters and International Journal of Semantic Computing.

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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