Philipp Schmid

680 citations
5 papers · 228 · h-index 5

Impact in

    • Speech and dialogue systems
    • Natural Language Processing Techniques
    • Multi-Agent Systems and Negotiation
    • Topic Modeling
    • Speech Recognition and Synthesis
    • AI in Service Interactions
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

    • Natural Language Processing Techniques 2
    • Speech Recognition and Synthesis 2
    • Speech and dialogue systems 2
    • Multi-Agent Systems and Negotiation 1
    • AI-based Problem Solving and Planning 1
    • Music and Audio Processing 2
    • Speech and Audio Processing 1

Philipp Schmid

5 papers receiving 164 citations

Peers

Philipp Schmid
Comparison fields: 5 of 25
  • Artificial Intelligence 222
  • Signal Processing 33
  • Human-Computer Interaction 5
  • Social Psychology 17
  • Experimental and Cognitive Psychology 8
Replace Hélène Bonneau-Maynard with:
Hélène Bonneau-Maynard France
Audrey N. Le United States
David Goodine United States
B. Thomson United Kingdom
David Suendermann Germany
M. Mahajan United States
Petr Červa Czechia
Monika Woszczyna United States
Cheongjae Lee South Korea
Ondřej Klejch United Kingdom
Philipp Schmid relative to Hélène Bonneau-Maynard France Hélène Bonneau-Maynard's profile →
Citations per field
00.5×1.5×2.1×
Hélène Bonneau-Maynard · 1×
Citations per year

Countries citing papers authored by Philipp Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Philipp Schmid, 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 Philipp Schmid Line = papers co-authored together Philipp Schmid links everyone, so they are left out of the graph.

All Works

About Philipp Schmid

Philipp Schmid is a scholar working on Artificial Intelligence, Signal Processing, Language and Linguistics, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 228 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Music and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers), Speech and dialogue systems (2 papers), Speech and Audio Processing (1 paper), Multi-Agent Systems and Negotiation (1 paper), AI-based Problem Solving and Planning (1 paper) and Translation Studies and Practices (1 paper). The work is most often cited by research in Artificial Intelligence (222 citations), Signal Processing (33 citations), Human-Computer Interaction (5 citations), Social Psychology (17 citations) and Experimental and Cognitive Psychology (8 citations). Philipp Schmid has collaborated with scholars based in United States. Frequent co-authors include Christine Pao, Victor W. Zue, Stephanie Seneff, Raymond Y.K. Lau, James Glass, Etienne Barnard, Joseph Polifroni, Helen Meng and Lee Hetherington. Their work appears in journals such as OHSU Digital Commons.

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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