Daniel Bauer

581 citations
34 papers · 385 · h-index 10

Impact in

Papers in

    • Network Traffic and Congestion Control 10
    • Distributed systems and fault tolerance 6
    • Peer-to-Peer Network Technologies 5
    • Advanced Database Systems and Queries 4
    • Distributed and Parallel Computing Systems 3
    • Cloud Computing and Resource Management 4
    • Service-Oriented Architecture and Web Services 3

Daniel Bauer

32 papers receiving 346 citations

Peers

Daniel Bauer
Comparison fields: 5 of 36
  • Computer Networks and Communications 273
  • Hardware and Architecture 22
  • Computer Graphics and Computer-Aided Design 10
  • Information Systems 49
  • Artificial Intelligence 51
Replace Brigitte Kerhervé with:
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Bauer, 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 Daniel Bauer Line = papers co-authored together Daniel Bauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200370
2 200253
3 199933
4 200431
5 200227
6 199521
7 200419
8 200814
9 200612
10 202011
11 20199
12 20027
13 20027
14 20036
15 20056
16 20066
17 20086
18 20196
19 20005
20 20045

About Daniel Bauer

Daniel Bauer is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Management Science and Operations Research and Artificial Intelligence, having authored 34 papers that have together received 385 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (10 papers), Distributed systems and fault tolerance (6 papers), Peer-to-Peer Network Technologies (5 papers), Cloud Computing and Resource Management (4 papers), Advanced Database Systems and Queries (4 papers), Distributed and Parallel Computing Systems (3 papers), Service-Oriented Architecture and Web Services (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Computer Networks and Communications (273 citations), Hardware and Architecture (22 citations), Computer Graphics and Computer-Aided Design (10 citations), Information Systems (49 citations) and Artificial Intelligence (51 citations). Daniel Bauer has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Seán Rooney, Marcel Waldvogel, Ilias Iliadis, Subhash Suri, Priyank Ramesh Warkhede, Germano Caronni, Luis Garcés-Erice, Burkhard Stiller, Bernhard Plattner and Roman A. Pletka. Their work appears in journals such as Computer Networks, Computer Communications, IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and IEEE Transactions on Network and Service Management.

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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