Daniel Elenius

859 citations
43 papers · 602 · h-index 13

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Semantic Web and Ontologies
    • Speech and dialogue systems

Papers in

Daniel Elenius

39 papers receiving 513 citations

Peers

Daniel Elenius
Comparison fields: 5 of 62
  • Signal Processing 172
  • Artificial Intelligence 418
  • Software 43
  • Information Systems 162
  • Experimental and Cognitive Psychology 80
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Elenius

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Elenius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 200568
3 201657
4 200738
5 200537
6 200732
7 200730
8
Comparing speech recognition for adults and children
200422
9
Automatically Extracting Requirements Specifications from Natural Language.
201422
10 200919
11
Ontology-based Service Discovery in P2P Networks.
200419
12
A comparison between human perception and a speaker verification system score of a voice imitation.
200419
13
Speaker verification scores and acoustic analysis of a professional impersonator
200415
14 201812
15 20079
16
SWRL-IQ: A Prolog-based Query Tool for OWL and SWRL.
20127
17 20086
18 20145
19 20165
20 20165

About Daniel Elenius

Daniel Elenius is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Management Information Systems, having authored 43 papers that have together received 602 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Semantic Web and Ontologies (13 papers), Service-Oriented Architecture and Web Services (10 papers), Speech and Audio Processing (10 papers), Advanced Database Systems and Queries (6 papers), Music and Audio Processing (6 papers), Business Process Modeling and Analysis (4 papers) and Multi-Agent Systems and Negotiation (4 papers). The work is most often cited by research in Signal Processing (172 citations), Artificial Intelligence (418 citations), Software (43 citations), Information Systems (162 citations) and Experimental and Cognitive Psychology (80 citations). Daniel Elenius has collaborated with scholars based in United States, Sweden and Hungary. Frequent co-authors include Mats Blomberg, Grit Denker, Mark-Oliver Stehr, David E. Wilkins, David Martín, Diego Giuliani, Stefan Steidl, Michael Wong, Patrick Lincoln and Christian Hacker. Their work appears in journals such as Blood, IEEE Wireless Communications, Journal of Simulation, Journal of Biomedical Semantics and Lecture notes in computer science.

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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