Patrick Lange

774 citations
38 papers · 444 indexed · h-index 9

Impact in

Papers in

Patrick Lange

35 papers receiving 419 citations

Peers

Patrick Lange
Comparison fields: 5 of 83
  • Health Informatics 26
  • Applied Psychology 77
  • Artificial Intelligence 260
  • Signal Processing 40
  • Computer Vision and Pattern Recognition 67
Replace Hanna Schäfer with:
Hanna Schäfer Germany
Kyo-Joong Oh South Korea
Brandon M. Booth United States
Mary Swift United States
Di Li China
Che-Wei Hsu Taiwan
Dominique Estival Australia
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Stanisław Saganowski Poland
Mahmoud Elbattah France
Patrick Lange relative to Hanna Schäfer Germany Hanna Schäfer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Patrick Lange

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020194
2 202259
3 201741
4 201915
5 201713
6
Tuning Sphinx to outperform Google’s speech recognition API
201411
7 201910
8 20198
9 20168
10 20168
11 20178
12 20197
13 20225
14 20145
15
A framework for wait-free data exchange in massively threaded VR systems
20145
16 20185
17 20155
18
Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology.
20204
19 20174
20
Crowdsourcing Multimodal Dialog Interactions: Lessons Learned from the HALEF Case.
20173

About Patrick Lange

Patrick Lange is a scholar working on Artificial Intelligence, Hardware and Architecture, Applied Psychology, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 38 papers that have together received 444 indexed citations. Recurring topics across this work include Speech and dialogue systems (22 papers), Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers), Speech Recognition and Synthesis (8 papers), AI in Service Interactions (7 papers), Distributed systems and fault tolerance (5 papers), Peer-to-Peer Network Technologies (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Health Informatics (26 citations), Applied Psychology (77 citations), Artificial Intelligence (260 citations), Signal Processing (40 citations) and Computer Vision and Pattern Recognition (67 citations). Patrick Lange has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Zhou Yu, Yoshimi Fukuoka, Jingwen Zhang, Yoo Jung Oh, David Suendermann‐Oeft, Keelan Evanini, Yao Qian, Gabriel Zachmann, René Weller and Vikram Ramanarayanan. Their work appears in journals such as Journal of Medical Internet Research, Journal of Signal Processing Systems, ETS Research Report Series, Digital Library (University of West Bohemia) and arXiv (Cornell University).

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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