Daniel Neiberg

663 citations
34 papers · 518 · h-index 11

Impact in

Papers in

Daniel Neiberg

29 papers receiving 427 citations

Peers

Daniel Neiberg
Comparison fields: 5 of 40
  • Experimental and Cognitive Psychology 373
  • Signal Processing 244
  • Artificial Intelligence 288
  • Pharmacy 35
  • Language and Linguistics 50
Replace Richard Huber with:
Richard Huber Germany
Kjell Elenius Sweden
Anna Polychroniou United States
Iker Luengo Spain
Kornel Laskowski United States
Kåre Sjölander Sweden
Albino Nogueiras Rodríguez Spain
Rajdip Dhillon United States
Matti Airas Finland
Sarkis Abrilian France
Daniel Neiberg relative to Richard Huber Germany Richard Huber's profile →
Citations per field
00.5×1.5×2×2.5×
Richard Huber · 1×
Citations per year

Countries citing papers authored by Daniel Neiberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neiberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Daniel Neiberg, 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 Daniel Neiberg Line = papers co-authored together Daniel Neiberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006210
2 201066
3 201432
4 201127
5 200821
6 200817
7
Emotion Recognition in Spontaneous Speech
200916
8 201115
9 201111
10
Prosodic cues to engagement in non-lexical response tokens in Swedish
201010
11 201110
12 20109
13 20108
14
Text Independent Speaker Verication Using Adapted Gaussian Mixture Models
20018
15 20097
16 20117
17 20126
18 20135
19 20094
20 20114

About Daniel Neiberg

Daniel Neiberg is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Language and Linguistics and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 518 indexed citations. Recurring topics across this work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (14 papers), Speech and dialogue systems (11 papers), Phonetics and Phonology Research (10 papers), Music and Audio Processing (7 papers), Emotion and Mood Recognition (6 papers), Language, Discourse, Communication Strategies (4 papers) and Language, Metaphor, and Cognition (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (373 citations), Signal Processing (244 citations), Artificial Intelligence (288 citations), Pharmacy (35 citations) and Language and Linguistics (50 citations). Daniel Neiberg has collaborated with scholars based in Sweden, Netherlands and United States. Frequent co-authors include Kjell Elenius, Kornel Laskowski, Petri Laukka, Joakim Gustafson, Inger Karlsson, Hillary Anger Elfenbein, Olov Engwall, Khiet P. Truong, Dennis Reidsma and Iwan de Kok. Their work appears in journals such as Computer Speech & Language, Speech Communication, Emotion, IEEE Transactions on Audio Speech and Language Processing and Journal on Multimodal User Interfaces.

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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