Ingo R. Titze

1.9k citations
14 papers · 1.5k indexed · 1 hit paper · h-index 7
Topics
Voice and Speech Disorders (5 papers)Music Technology and Sound Studies (3 papers)Marine animal studies overview (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Ingo R. Titze

13 papers receiving 1.4k citations

Hit Papers

Principles of Voice Production199820262007201619984008001.2k

Peers

Ingo R. Titze
Comparison fields: 5 of 107
  • Physiology 787
  • Experimental and Cognitive Psychology 597
  • Artificial Intelligence 466
  • Signal Processing 334
  • Developmental Biology 294
Replace Jan G. Švec with:
Jan G. Švec Czechia
Jörg Lohscheller Germany
Brad H. Story United States
Nathalie Henrich Bernardoni France
Elaine T. Stathopoulos United States
Harry Hollien United States
Yoshiyuki Horii United States
Harm K. Schutte Netherlands
Abeer Alwan United States
Katherine S. Harris United States
Ingo R. Titze relative to Jan G. Švec Czechia Jan G. Švec's profile →
Citations per field
00.5×1.5×
Jan G. Švec · 1×
Citations per year

Countries citing papers authored by Ingo R. Titze

Since Specialization
Citations

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

Fields of papers citing papers by Ingo R. Titze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingo R. Titze. 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 Ingo R. Titze. The network helps show where Ingo R. Titze may publish in the future.

Co-authorship network of co-authors of Ingo R. Titze

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo R. Titze. A scholar is included among the top collaborators of Ingo R. Titze based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ingo R. Titze. Ingo R. Titze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 16
3 36
4 15
5
A Short Tutorial on Sound Level and Loudness for Voice
5
6 2
7
Unsolved Mysteries about Vocal Fatigue and Recovery
5
8 30
9
Individual Subject Laryngeal Dimensions of Multiple Mammalian Species for Biomechanical Models: A Supplement
2
10 10
11
Fascinations With the Human Voice
5
12
Principles of Voice Productionbreakdown →
1302
13 3
14 63

About Ingo R. Titze

Ingo R. Titze is a scholar working on Developmental Biology, Signal Processing and Music, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Voice and Speech Disorders (5 papers), Music Technology and Sound Studies (3 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Developmental Biology (294 citations), Experimental and Cognitive Psychology (597 citations) and Speech and Hearing (245 citations). Ingo R. Titze has collaborated with scholars based in United States and Germany. Frequent co-authors include Daniel W. Martin, Peter S. Popolo, Scott L. Thomson, Franz Goller, Tobias Riede and Eric J. Hunter. Their work appears in journals such as PLoS Biology, The Journal of the Acoustical Society of America and PLoS Computational Biology.

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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