Robert Baumgartner

85 papers receiving 2.4k citations

Robert Baumgartner's Hit Papers

Web data extraction, applications and techniques: A survey 2014 · 280 citations
2800+16+32Years since publication250500750

Peers

Robert Baumgartner
Comparison fields: 5 of 135
  • Signal Processing 311
  • Information Systems 825
  • Cognitive Neuroscience 262
  • Sensory Systems 63
  • Artificial Intelligence 412
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Xiao Hu Hong Kong
James P. Bagrow United States
George Robert Buchanan United Kingdom
George M. Kalliris Greece
Alexander Markowetz Germany
Petr Sojka Czechia
Gianmarco De Francisci Morales Italy
Jan Blom Finland
Oliviero Stock Italy
Fabio Pianesi Italy
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Countries citing papers authored by Robert Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by Robert Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Factors Affecting Response Rates to Mailed Questionnaires: A Quantitative Analysis of the Published Literature
Hit paper breakdown →
1978783
2
Visual Web Information Extraction with Lixto
2001371
3
Web data extraction, applications and techniques: A survey
Hit paper breakdown →
2014280
4 2004109
5 2014103
6 202072
7 202266
8 200746
9 200145
10 201440
11 200939
12 202339
13 198433
14 201732
15 198128
16 200527
17 201326
18 200125
19 200425
20 198124

About Robert Baumgartner

Robert Baumgartner is a scholar working on Information Systems, Cognitive Neuroscience, Signal Processing, Artificial Intelligence and Aerospace Engineering, having authored 94 papers that have together received 2.7k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (28 papers), Neuroscience and Music Perception (21 papers), Speech and Audio Processing (15 papers), Semantic Web and Ontologies (12 papers), Human auditory perception and evaluation (11 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Survey Methodology and Nonresponse (4 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Signal Processing (311 citations), Information Systems (825 citations), Cognitive Neuroscience (262 citations), Sensory Systems (63 citations) and Artificial Intelligence (412 citations). Robert Baumgartner has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Thomas A. Heberlein, Georg Gottlob, Sergio Flesca, Piotr Majdak, Emilio Ferrara, Pasquale De Meo, Giacomo Fiumara, Bernhard Laback, Marcus Herzog and Christoph E. Koch. Their work appears in journals such as Trends in Hearing, Journal of the Audio Engineering Society, Frontiers in Neuroscience, Scientific Reports and American Sociological Review.

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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