Brian Mueller

1.0k citations
6 papers · 762 indexed · 1 hit paper · h-index 6
Topics
Software-Defined Networks and 5G (2 papers)Distributed and Parallel Computing Systems (2 papers)Interconnection Networks and Systems (2 papers)
Partner nations
United States

In The Last Decade

Brian Mueller

6 papers receiving 711 citations

Hit Papers

Safe and effective fine-grained TCP retransmissions for d...20092026201420202009100200300

Peers

Brian Mueller
Comparison fields: 5 of 55
  • Computer Networks and Communications 691
  • Information Systems 431
  • Hardware and Architecture 90
  • Electrical and Electronic Engineering 75
  • Artificial Intelligence 27
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Xing Pu China
Sankaran Sivathanu United States
Kaiyuan Hou United States
Jean-Patrick Gelas France
Jiaqing Du China
Tibor Horváth United States
Daniel Bauer Switzerland
Richard P. Spillane United States
Bill St. Arnaud Canada
Michele Mazzucco Estonia
Brian Mueller relative to Xing Pu China Xing Pu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Brian Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Mueller

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 28
2
Adjunct versus Full-Time Faculty: Comparison of Student Outcomes in the Online Classroom
30
3 88
4
Safe and effective fine-grained TCP retransmissions for datacenter communicationbreakdown →
342
5
Scalable performance of the Panasas parallel file system
253
6 21

About Brian Mueller

Brian Mueller is a scholar working on Computer Networks and Communications, Geochemistry and Petrology and Hardware and Architecture, having authored 6 papers that have together received 762 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (2 papers), Distributed and Parallel Computing Systems (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (691 citations), Information Systems (431 citations) and Hardware and Architecture (90 citations). Brian Mueller has collaborated with scholars based in United States. Frequent co-authors include Garth A. Gibson, Vijay Vasudevan, Amar Phanishayee, Gregory R. Ganger, Elie Krevat, David G. Andersen, Hiral Shah, Brent Welch, Jim Zelenka and Jason W. Small. Their work appears in journals such as Environmental Science & Technology, ACM SIGCOMM Computer Communication Review and File and Storage Technologies.

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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