Andreas Rauber

7.1k citations
336 papers · 5.2k · h-index 37

Impact in

Papers in

    • Digital and Traditional Archives Management 62
    • Research Data Management Practices 39
    • Information Retrieval and Search Behavior 36

Andreas Rauber

310 papers receiving 4.7k citations

Peers

Andreas Rauber
Comparison fields: 5 of 124
  • Signal Processing 1k
  • Conservation 481
  • Information Systems 1.2k
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 774
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Rauber

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Rauber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 336 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002389
2 2002219
3 2000211
4 2005175
5 2015132
6 2002106
7 201492
8
Using smoothed data histograms for cluster visualization in Self-Organizing Maps
200291
9 201585
10 202083
11 200981
12 202380
13 200875
14 200274
15 200773
16 201471
17 200262
18 201060
19 200757
20 200154

About Andreas Rauber

Andreas Rauber is a scholar working on Conservation, Information Systems, Signal Processing, Artificial Intelligence and Information Systems and Management, having authored 336 papers that have together received 5.2k indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (62 papers), Music and Audio Processing (46 papers), Neural Networks and Applications (43 papers), Research Data Management Practices (39 papers), Information Retrieval and Search Behavior (36 papers), Scientific Computing and Data Management (23 papers), Text and Document Classification Technologies (19 papers) and Data Visualization and Analytics (17 papers). The work is most often cited by research in Signal Processing (1k citations), Conservation (481 citations), Information Systems (1.2k citations), Artificial Intelligence (1.5k citations) and Computer Vision and Pattern Recognition (774 citations). Andreas Rauber has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Dieter Merkl, Michael Dittenbach, Elias Pampalk, Rudolf L. Mayer, Thomas Lidy, Christoph Becker, Robert Neumayer, Shariq Bashir, Alexander Schindler and Markus Wurzenberger. Their work appears in journals such as Lecture notes in computer science, D-Lib Magazine, International Journal on Digital Libraries, ACM Transactions on Management Information Systems and Data Science Journal.

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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