Peter Arzberger

2.3k citations
51 papers · 1.7k · h-index 19

Impact in

Papers in

Peter Arzberger

49 papers receiving 1.6k citations

Peers

Peter Arzberger
Comparison fields: 5 of 156
  • Ecological Modeling 210
  • Information Systems and Management 330
  • Developmental Biology 44
  • Nature and Landscape Conservation 183
  • Information Systems 293
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Citations per field
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Citations per year

Countries citing papers authored by Peter Arzberger

Since Specialization
Citations

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

Fields of papers citing papers by Peter Arzberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004221
2 2005200
3 2008168
4 2004147
5 2005129
6 2009128
7 2009116
8 200967
9 201364
10 200857
11 201047
12 200639
13
Prime: An integrated and sustainable undergraduate international research program
201029
14 201927
15 200526
16 200622
17 200621
18 200419
19 200918
20
Sensors for Environmental Observatories
200517

About Peter Arzberger

Peter Arzberger is a scholar working on Computer Networks and Communications, Information Systems and Management, Molecular Biology, Information Systems and Oceanography, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (24 papers), Scientific Computing and Data Management (17 papers), Advanced Data Storage Technologies (9 papers), Parallel Computing and Optimization Techniques (5 papers), Marine and coastal ecosystems (5 papers), Environmental Monitoring and Data Management (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Computational Physics and Python Applications (3 papers). The work is most often cited by research in Ecological Modeling (210 citations), Information Systems and Management (330 citations), Developmental Biology (44 citations), Nature and Landscape Conservation (183 citations) and Information Systems (293 citations). Peter Arzberger has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Paul C. Hanson, Wilfred W. Li, Timothy K. Kratz, Paul Wouters, Kathleen Casey, Leif Laaksonen, Anne Beaulieu, Paul F. Uhlir, J. Andrew McCammon and Dong Xu. Their work appears in journals such as BioScience, Journal of Mathematical Biology, Journal of Medicinal Chemistry, Journal of Molecular Biology and PLoS ONE.

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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