Daniel Bauer

578 citations
35 papers · 341 · h-index 10

Impact in

Papers in

    • Peer-to-Peer Network Technologies 11
    • Network Traffic and Congestion Control 7
    • Distributed systems and fault tolerance 5
    • Advanced Data Storage Technologies 5
    • Caching and Content Delivery 5
    • Cloud Computing and Resource Management 6

Daniel Bauer

33 papers receiving 299 citations

Peers

Daniel Bauer
Comparison fields: 5 of 37
  • Computer Networks and Communications 300
  • Hardware and Architecture 33
  • Information Systems 56
  • Information Systems and Management 12
  • Management Information Systems 14
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Daniel Bauer relative to Paul Dantzig United States Paul Dantzig's profile →
Citations per field
00.5×8.5×
Paul Dantzig · 1×
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 17 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200359
2 200253
3 199929
4 200428
5 200421
6 199518
7
Dynamic Replica Management in Distributed Hash Tables
200314
8 200613
9 200813
10 20209
11 20027
12 20197
13 20057
14 20027
15 20046
16 20086
17 20195
18 20005
19 20065
20 19974

About Daniel Bauer

Daniel Bauer is a scholar working on Computer Networks and Communications, Information Systems, Information Systems and Management, Hardware and Architecture and Electrical and Electronic Engineering, having authored 35 papers that have together received 341 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (11 papers), Network Traffic and Congestion Control (7 papers), Cloud Computing and Resource Management (6 papers), Distributed systems and fault tolerance (5 papers), Advanced Data Storage Technologies (5 papers), Caching and Content Delivery (5 papers), Multimedia Communication and Technology (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Computer Networks and Communications (300 citations), Hardware and Architecture (33 citations), Information Systems (56 citations), Information Systems and Management (12 citations) and Management Information Systems (14 citations). Daniel Bauer has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Seán Rooney, Marcel Waldvogel, Subhash Suri, Priyank Ramesh Warkhede, Germano Caronni, Luis Garcés-Erice, Burkhard Stiller, Roman Pletka, Bernhard Plattner and Ilias Iliadis. Their work appears in journals such as Computer Networks, Computer Communications, Multimedia Tools and Applications, IEEE/ACM Transactions on Networking and Electronics Letters.

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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