S.A. Reiter

1.1k citations
29 papers · 733 · h-index 12

Impact in

Papers in

S.A. Reiter

29 papers receiving 686 citations

Peers

S.A. Reiter
Comparison fields: 5 of 87
  • Signal Processing 261
  • Experimental and Cognitive Psychology 289
  • Artificial Intelligence 260
  • Computer Vision and Pattern Recognition 158
  • Inorganic Chemistry 98
Replace Jong Won Shin with:
Jong Won Shin South Korea
John J. Godfrey United States
Shu-Wen Yang Taiwan
M. Inés Torres Spain
Catherine Tong United Kingdom
D. Anil Kumar India
F. R. A. Hopgood United Kingdom
Meichun Liu Taiwan
Che-Wei Huang United States
Harish Srinivasan India
S.A. Reiter relative to Jong Won Shin South Korea Jong Won Shin's profile →
Citations per field
00.5×4.3×
Jong Won Shin · 1×
Citations per year

Countries citing papers authored by S.A. Reiter

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Reiter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Reiter. 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 S.A. Reiter. The network helps show where S.A. Reiter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008215
2 2005111
3 200470
4 199146
5 200840
6 200639
7 200225
8 200722
9 200418
10
Multimodal Integration for Meeting Group Action Segmentation and Recognition
200617
11 200515
12 200414
13 199911
14 200610
15 200710
16 20069
17 20059
18 20038
19 20048
20 20047

About S.A. Reiter

S.A. Reiter is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Organic Chemistry and Inorganic Chemistry, having authored 29 papers that have together received 733 indexed citations. Recurring topics across this work include Music and Audio Processing (7 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers), Speech and dialogue systems (3 papers), Synthesis and characterization of novel inorganic/organometallic compounds (3 papers), Speech and Audio Processing (3 papers), Video Analysis and Summarization (3 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Signal Processing (261 citations), Experimental and Cognitive Psychology (289 citations), Artificial Intelligence (260 citations), Computer Vision and Pattern Recognition (158 citations) and Inorganic Chemistry (98 citations). S.A. Reiter has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Björn W. Schuller, Gerhard Rigoll, S.D. Nogai, Hubert Schmidbaur, Florian Eyben, Cate Cox, Ellen Douglas‐Cowie, Martin Wöllmer, Roddy Cowie and M. Lang. Their work appears in journals such as Journal of the American Chemical Society, Dalton Transactions, Phytochemistry, Phytomedicine and Surgical Endoscopy.

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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