Robert Baumgartner

3.6k total citations · 2 hit papers
76 papers, 2.2k citations indexed

About

Robert Baumgartner is a scholar working on Information Systems, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Robert Baumgartner has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 24 papers in Cognitive Neuroscience and 14 papers in Signal Processing. Recurrent topics in Robert Baumgartner's work include Web Data Mining and Analysis (23 papers), Hearing Loss and Rehabilitation (19 papers) and Speech and Audio Processing (11 papers). Robert Baumgartner is often cited by papers focused on Web Data Mining and Analysis (23 papers), Hearing Loss and Rehabilitation (19 papers) and Speech and Audio Processing (11 papers). Robert Baumgartner collaborates with scholars based in Austria, United States and Hungary. Robert Baumgartner's co-authors include Thomas A. Heberlein, Georg Gottlob, Sergio Flesca, Piotr Majdak, Emilio Ferrara, Giacomo Fiumara, Pasquale De Meo, Bernhard Laback, Marcus Herzog and Tarek M. Hassan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Robert Baumgartner

67 papers receiving 1.9k citations

Hit Papers

Factors Affecting Response Rates to Mailed Questionnaires... 1978 2026 1994 2010 1978 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Baumgartner Austria 18 631 582 401 328 325 76 2.2k
Daniele Quercia United Kingdom 30 704 1.1× 971 1.7× 673 1.7× 115 0.4× 276 0.8× 144 3.5k
Kirsi Tirri Finland 35 395 0.6× 558 1.0× 560 1.4× 154 0.5× 378 1.2× 260 5.0k
Mark Weal United Kingdom 27 749 1.2× 463 0.8× 602 1.5× 112 0.3× 70 0.2× 152 2.7k
Katie Shilton United States 28 345 0.5× 910 1.6× 536 1.3× 119 0.4× 95 0.3× 85 2.8k
Deborah Richards Australia 26 437 0.7× 404 0.7× 685 1.7× 112 0.3× 55 0.2× 300 2.8k
Rossano Schifanella Italy 19 304 0.5× 253 0.4× 304 0.8× 60 0.2× 160 0.5× 66 1.6k
Julita Vassileva Canada 34 1.1k 1.8× 1.7k 3.0× 1.2k 3.0× 76 0.2× 50 0.2× 212 4.7k
Lynne Coventry United Kingdom 25 929 1.5× 597 1.0× 210 0.5× 87 0.3× 376 1.2× 90 2.0k
Douglas J. Herrmann United States 25 168 0.3× 207 0.4× 743 1.9× 684 2.1× 82 0.3× 106 2.8k
Christophe Giraud-Carrier United States 24 451 0.7× 494 0.8× 1.5k 3.8× 140 0.4× 154 0.5× 101 3.3k

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-authorship network of co-authors of Robert Baumgartner

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Baumgartner. A scholar is included among the top collaborators of Robert Baumgartner 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 Robert Baumgartner. Robert Baumgartner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tóth, Brigitta, et al.. (2025). Threat-related corticocortical connectivity elicited by rapid auditory looms. Scientific Reports. 16(1). 834–834.
2.
3.
Sziller, István, et al.. (2024). Cortical signatures of auditory looming bias show cue-specific adaptation between newborns and young adults. SHILAP Revista de lepidopterología. 2(1). 4 indexed citations
4.
Szalárdy, Orsolya, et al.. (2024). The effects of aging and hearing impairment on listening in noise. iScience. 27(4). 109295–109295.
5.
Tóth, Brigitta, et al.. (2022). Attentional modulation and cue-specificity of cortical biases in favour of looming sounds. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Tóth, Brigitta, et al.. (2022). Effects of individualized brain anatomies and EEG electrode positions on inferred activity of the primary auditory cortex. Frontiers in Neuroinformatics. 16. 970372–970372. 7 indexed citations
7.
Majdak, Piotr, et al.. (2020). Predicting directional sound-localization of human listeners in both horizontal and vertical dimensions. Journal of the Audio Engineering Society. 1–6. 3 indexed citations
8.
Choi, Inyong, et al.. (2019). Impoverished auditory cues limit engagement of brain networks controlling spatial selective attention. NeuroImage. 202. 116151–116151. 15 indexed citations
9.
Baumgartner, Robert & Piotr Majdak. (2015). Modeling Localization of Amplitude-Panned Virtual Sources in Sagittal Planes. Journal of the Audio Engineering Society. 63(7/8). 562–569. 11 indexed citations
10.
Baumgartner, Robert & Piotr Majdak. (2013). Modeling Sound Localization of Amplitude-Panned Phantom Sources in Sagittal Planes. Journal of the Audio Engineering Society. 1 indexed citations
11.
Atchley, Anthony A., et al.. (2007). An Investigation of Community Attitudes Toward Blast Noise: Methodology. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core).
12.
Gottlob, Georg, Christoph Koch, Robert Baumgartner, Marcus Herzog, & Sergio Flesca. (2004). The Lixto data extraction project. 2 indexed citations
13.
Slany, Wolfgang, et al.. (2004). Annotating the Legacy Web with Lixto. International Semantic Web Conference. 0–0. 1 indexed citations
14.
Antoniou, Grigoris, Matteo Baldoni, Cristina Baroglio, et al.. (2004). Reasoning Methods for Personalization on the Semantic Web. 163(50). 1–24. 8 indexed citations
15.
Baumgartner, Robert, Georg Gottlob, & Marcus Herzog. (2003). Visual Programming of Web Data Aggregation Applications. Oxford University Research Archive (ORA) (University of Oxford). 43(1). 137–142. 6 indexed citations
16.
Baumgartner, Robert, et al.. (2003). Web Information Acquisition with Lixto Suite.. Oxford University Research Archive (ORA) (University of Oxford). 747–749. 3 indexed citations
17.
Baumgartner, Robert, et al.. (2003). Semantic markup of news items with Lixto. 96. 63–78. 5 indexed citations
18.
Baumgartner, Robert, Sergio Flesca, & Georg Gottlob. (2001). Visual Web Information Extraction with Lixto. Oxford University Research Archive (ORA) (University of Oxford). 119–128. 275 indexed citations
19.
Baumgartner, Robert, Sergio Flesca, & Georg Gottlob. (2001). Supervised Wrapper Generation with Lixto. Oxford University Research Archive (ORA) (University of Oxford). 715–716. 10 indexed citations
20.
Baumgartner, Robert & Georg Gottlob. (1999). On the Complexity of Model Checking for Propositional Default Logics: New Results and Tractable Cases. International Joint Conference on Artificial Intelligence. 26(3). 64–69. 2 indexed citations

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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