Patrick Lange

802 citations
44 papers · 561 · h-index 11

Impact in

Papers in

Patrick Lange

41 papers receiving 525 citations

Peers

Patrick Lange
Comparison fields: 5 of 75
  • Health Informatics 27
  • Applied Psychology 67
  • Artificial Intelligence 315
  • Signal Processing 46
  • Human-Computer Interaction 23
Replace Hanna Schäfer with:
Hanna Schäfer Germany
Izidor Mlakar Slovenia
Kyo-Joong Oh South Korea
Marie Meteer United States
Ha‐Kyung Kong United States
Pierre Lison Norway
Prerna Chikersal United States
João Sedoc United States
Maria Beatriz Carmo Portugal
Colin Matheson United Kingdom
Patrick Lange relative to Hanna Schäfer Germany Hanna Schäfer's profile →
Citations per field
00.5×2.6×
Hanna Schäfer · 1×
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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020228
2 202267
3 201743
4 201819
5 201618
6 201916
7 201714
8
Tuning Sphinx to outperform Google’s speech recognition API
201412
9 201912
10 201911
11 201711
12 201610
13 20169
14 20199
15 20168
16 20225
17 20155
18 20175
19 20145
20 20185

About Patrick Lange

Patrick Lange is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Social Psychology and Signal Processing, having authored 44 papers that have together received 561 indexed citations. Recurring topics across this work include Speech and dialogue systems (25 papers), Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (9 papers), AI in Service Interactions (8 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 (27 citations), Applied Psychology (67 citations), Artificial Intelligence (315 citations), Signal Processing (46 citations) and Human-Computer Interaction (23 citations). Patrick Lange has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Yoo Jung Oh, Yoshimi Fukuoka, Jingwen Zhang, Zhou Yu, David Suendermann‐Oeft, Keelan Evanini, Yao Qian, Vikram Ramanarayanan, Yu Zhou and René Weller. Their work appears in journals such as Journal of Medical Internet Research, Journal of Signal Processing Systems, ETS Research Report Series, Lecture notes in electrical engineering and Conference of the International Speech Communication Association.

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.

Explore authors with similar magnitude of impact