445 total citations 20 papers, 282 citations indexed
About
Brendan Gregg is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Brendan Gregg has authored 20 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brendan Gregg's work include Distributed and Parallel Computing Systems (4 papers), Software System Performance and Reliability (4 papers) and Advanced Data Storage Technologies (4 papers). Brendan Gregg is often cited by papers focused on Distributed and Parallel Computing Systems (4 papers), Software System Performance and Reliability (4 papers) and Advanced Data Storage Technologies (4 papers). Brendan Gregg collaborates with scholars based in United States and Netherlands. Brendan Gregg's co-authors include Cor‐Paul Bezemer, Johan Pouwelse, Dave Hansen and Daniel Gruss and has published in prestigious journals such as Communications of the ACM, Queue and CERN Document Server (European Organization for Nuclear Research).
Citations per year, relative to Brendan Gregg Brendan Gregg (= 1×)
peers
Kostas Magoutis
Countries citing papers authored by Brendan Gregg
Since
Specialization
Citations
This map shows the geographic impact of Brendan Gregg'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 Brendan Gregg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendan Gregg more than expected).
This network shows the impact of papers produced by Brendan Gregg. 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 Brendan Gregg. The network helps show where Brendan Gregg may publish in the future.
Co-authorship network of co-authors of Brendan Gregg
This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Gregg.
A scholar is included among the top collaborators of Brendan Gregg 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 Brendan Gregg. Brendan Gregg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Gregg, Brendan. (2020). BPF performance tools: Linux system and application observability. CERN Document Server (European Organization for Nuclear Research).9 indexed citations
Gregg, Brendan. (2019). Linux Systems Performance.
4.
Gruss, Daniel, Dave Hansen, & Brendan Gregg. (2018). Kernel Isolation: From an Academic Idea to an Efficient Patch for Every Computer.. 43(4). 10–14.3 indexed citations
5.
Gregg, Brendan. (2017). Visualizing Performance with Flame Graphs.3 indexed citations
6.
Gregg, Brendan. (2017). Performance Superpowers with Enhanced {BPF}.7 indexed citations
7.
Gregg, Brendan. (2016). Linux 4.X Tracing Tools: Using {BPF} Superpowers.2 indexed citations
Gregg, Brendan, et al.. (2006). Solaris Performance and Tools: Dtrace and Mdb Techniques for Solaris 10 and Opensolaris. CERN Document Server (European Organization for Nuclear Research).35 indexed citations
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.