Jeff LeFevre

412 total citations
18 papers, 251 citations indexed

About

Jeff LeFevre is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Jeff LeFevre has authored 18 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Information Systems and 4 papers in Information Systems and Management. Recurrent topics in Jeff LeFevre's work include Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (9 papers) and Advanced Database Systems and Queries (7 papers). Jeff LeFevre is often cited by papers focused on Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (9 papers) and Advanced Database Systems and Queries (7 papers). Jeff LeFevre collaborates with scholars based in United States, Netherlands and Canada. Jeff LeFevre's co-authors include Neoklis Polyzotis, Carlos Maltzahn, N. W. Watkins, Hakan Hacígümüş, Jagan Sankaranarayanan, Junichi Tatemura, Scott Brandt, Michael J. Carey, Mariano P. Consens and Peter Alvaro and has published in prestigious journals such as Proceedings of the VLDB Endowment, eScholarship (California Digital Library) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Jeff LeFevre

16 papers receiving 236 citations

Peers

Jeff LeFevre
Thierry Cruanes United States
Chuck Bear United States
Jeff Shute United States
Mark Raasveldt Netherlands
Benoît Dageville United States
Subru Krishnan United Kingdom
Ian Rae United States
Bart Samwel Netherlands
Thierry Cruanes United States
Jeff LeFevre
Citations per year, relative to Jeff LeFevre Jeff LeFevre (= 1×) peers Thierry Cruanes

Countries citing papers authored by Jeff LeFevre

Since Specialization
Citations

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

Fields of papers citing papers by Jeff LeFevre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff LeFevre

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

All Works

18 of 18 papers shown
1.
Uta, Alexandru, et al.. (2022). Skyhook: Towards an Arrow-Native Storage System. 81–88. 3 indexed citations
2.
LeFevre, Jeff, et al.. (2021). Zero-Cost, Arrow-Enabled Data Interface for Apache Spark. 2021 IEEE International Conference on Big Data (Big Data). 2400–2405. 2 indexed citations
3.
LeFevre, Jeff & Carlos Maltzahn. (2020). SkyhookDM: Data Processing in Ceph with Programmable Storage.. 45. 4 indexed citations
4.
LeFevre, Jeff & N. W. Watkins. (2019). Skyhook: Programmable Storage for Databases. 2 indexed citations
5.
LeFevre, Jeff, et al.. (2019). Towards Physical Design Management in Storage Systems. 30. 40–49.
6.
Watkins, N. W., et al.. (2018). Cudele: An API and Framework for Programmable Consistency and Durability in a Global Namespace. 960–969. 2 indexed citations
7.
Maltzahn, Carlos, Jeff LeFevre, N. W. Watkins, et al.. (2018). Tintenfisch: File System Namespace Schemas and Generators. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
8.
Watkins, N. W., et al.. (2017). Malacology. 175–190. 20 indexed citations
9.
LeFevre, Jeff, et al.. (2016). Building the Enterprise Fabric for Big Data with Vertica and Spark Integration. 63–75. 6 indexed citations
10.
LeFevre, Jeff, et al.. (2015). Large-scale Predictive Analytics in Vertica. 1657–1668. 8 indexed citations
11.
LeFevre, Jeff, Jagan Sankaranarayanan, Hakan Hacígümüş, et al.. (2014). Opportunistic physical design for big data analytics. 851–862. 21 indexed citations
12.
LeFevre, Jeff. (2014). Physical Design Tuning Methods for Emerging System Architectures. eScholarship (California Digital Library). 1 indexed citations
13.
LeFevre, Jeff, Jagan Sankaranarayanan, Hakan Hacígümüş, et al.. (2014). MISO. 1591–1602. 52 indexed citations
14.
Hacígümüş, Hakan, Jagan Sankaranarayanan, Junichi Tatemura, Jeff LeFevre, & Neoklis Polyzotis. (2013). Odyssey. Proceedings of the VLDB Endowment. 6(11). 1180–1181. 12 indexed citations
15.
LeFevre, Jeff, Jagan Sankaranarayanan, Hakan Hacígümüş, Junichi Tatemura, & Neoklis Polyzotis. (2013). Towards a workload for evolutionary analytics. 26–30. 6 indexed citations
16.
Consens, Mariano P., et al.. (2012). Divergent physical design tuning for replicated databases. 49–60. 15 indexed citations
17.
LeFevre, Jeff, et al.. (2011). Benchmarking Online Index-Tuning Algorithms.. IEEE Data(base) Engineering Bulletin. 34. 28–35.
18.
Watkins, N. W., et al.. (2011). SciHadoop. 1–11. 96 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.

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