Justin J. Levandoski

2.6k total citations · 2 hit papers
49 papers, 1.8k citations indexed

About

Justin J. Levandoski is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Justin J. Levandoski has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 27 papers in Signal Processing and 15 papers in Information Systems. Recurrent topics in Justin J. Levandoski's work include Data Management and Algorithms (26 papers), Advanced Data Storage Technologies (20 papers) and Advanced Database Systems and Queries (19 papers). Justin J. Levandoski is often cited by papers focused on Data Management and Algorithms (26 papers), Advanced Data Storage Technologies (20 papers) and Advanced Database Systems and Queries (19 papers). Justin J. Levandoski collaborates with scholars based in United States, United Kingdom and Switzerland. Justin J. Levandoski's co-authors include Mohamed F. Mokbel, Ahmed Eldawy, Mohamed Sarwat, David Lomet, Sudipta Sengupta, Per-Åke Larson, Mohamed E. Khalefa, Umar Farooq Minhas, Joy Arulraj and Badrish Chandramouli and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.

In The Last Decade

Justin J. Levandoski

49 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

LARS: A Location-Aware Recommender System

2012 277 citations Justin J. Levandoski, Mohamed Sarwat et al. profile →
The Bw-Tree: A B-tree for new hardware platforms

2013 208 citations Justin J. Levandoski, David Lomet et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Justin J. Levandoski United States	22	1.2k	836	475	388	296	49	1.8k
Lidan Shou China	18	260 0.2×	275 0.3×	324 0.7×	57 0.1×	165 0.6×	110	1.2k
Chee-Yong Chan Singapore	23	1.6k 1.3×	557 0.7×	1.4k 2.9×	77 0.2×	37 0.1×	46	2.2k
HweeHwa Pang Singapore	21	651 0.5×	699 0.8×	337 0.7×	79 0.2×	38 0.1×	88	1.6k
Jens Dittrich Germany	19	1.4k 1.2×	1.3k 1.5×	376 0.8×	120 0.3×	15 0.1×	51	1.8k
Yon Dohn Chung South Korea	18	611 0.5×	400 0.5×	250 0.5×	31 0.1×	44 0.1×	84	1.1k
Kai Zeng China	17	578 0.5×	311 0.4×	405 0.9×	34 0.1×	49 0.2×	55	1.0k
Raghotham Murthy United States	7	1.5k 1.2×	1.4k 1.7×	364 0.8×	101 0.3×	18 0.1×	7	2.0k
Kai-Uwe Sattler Germany	18	954 0.8×	495 0.6×	435 0.9×	74 0.2×	13 0.0×	196	1.4k
R. G. G. Cattell United States	14	1.1k 0.9×	722 0.9×	360 0.8×	117 0.3×	12 0.0×	29	1.5k

Countries citing papers authored by Justin J. Levandoski

Since Specialization

Citations

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

Fields of papers citing papers by Justin J. Levandoski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin J. Levandoski. 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 Justin J. Levandoski. The network helps show where Justin J. Levandoski may publish in the future.

Co-authorship network of co-authors of Justin J. Levandoski

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Levandoski, Justin J., et al.. (2024). BigLake: BigQuery's Evolution toward a Multi-Cloud Lakehouse. 334–346. 7 indexed citations

2.

Arulraj, Joy, Justin J. Levandoski, Umar Farooq Minhas, & Per-Åke Larson. (2018). Bztree: a high-performance latch-free range index for non-volatile memory. Very Large Data Bases. 11(5). 553–565. 65 indexed citations

3.

Kemper, Alfons, et al.. (2017). Main Memory Database Systems. 8(1-2). 1–130. 21 indexed citations

4.

Pavlo, Andrew, Justin J. Levandoski, Tirthankar Lahiri, Rajesh Bordawekar, & Spyros Blanas. (2017). Data Management on New Hardware. Lecture notes in computer science. 3 indexed citations

5.

Levandoski, Justin J., Sudipta Sengupta, Ryan Stutsman, & Rui Wang. (2015). Transaction Processing Techniques for Modern Hardware and the Cloud.. IEEE Data(base) Engineering Bulletin. 38. 50–57. 1 indexed citations

6.

Raman, Karthik, Ankur NarendraBhai Shah, Renato Ferreira, et al.. (2015). Schema-agnostic indexing with Azure DocumentDB. Proceedings of the VLDB Endowment. 8(12). 1668–1679. 22 indexed citations

7.

Levandoski, Justin J., et al.. (2015). Multi-version range concurrency control in Deuteronomy. Proceedings of the VLDB Endowment. 8(13). 2146–2157. 20 indexed citations

8.

Levandoski, Justin J., et al.. (2015). In Memory Data Management and Analysis. Lecture notes in computer science. 7 indexed citations

9.

Levandoski, Justin J. & Sudipta Sengupta. (2013). A Common Compiler Framework for Big Data Languages: Motivation, Opportunities, and Benefits.. IEEE Data(base) Engineering Bulletin. 36. 56–62. 6 indexed citations

10.

Levandoski, Justin J., Ahmed Eldawy, Mohamed F. Mokbel, & Mohamed E. Khalefa. (2013). Flexible and extensible preference evaluation in database systems. ACM Transactions on Database Systems. 38(3). 1–43. 4 indexed citations

11.

Levandoski, Justin J., et al.. (2013). Identifying hot and cold data in main-memory databases. 26–37. 90 indexed citations

12.

Levandoski, Justin J., David Lomet, & Sudipta Sengupta. (2013). LLAMA. Proceedings of the VLDB Endowment. 6(10). 877–888. 43 indexed citations

13.

Levandoski, Justin J., Mohamed Sarwat, Ahmed Eldawy, & Mohamed F. Mokbel. (2012). LARS: A Location-Aware Recommender System. 450–461. 277 indexed citations breakdown →

14.

Levandoski, Justin J., Mohamed Sarwat, Mohamed F. Mokbel, & Michael D. Ekstrand. (2012). RecStore. 86–96. 10 indexed citations

15.

Levandoski, Justin J., Mohamed E. Khalefa, & Mohamed F. Mokbel. (2011). An Overview of the CareDB Context and Preference-Aware Database System.. IEEE Data(base) Engineering Bulletin. 34. 41–46. 7 indexed citations

16.

Levandoski, Justin J. & Mohamed F. Mokbel. (2010). CareDB: A context and preference-aware location-based database system. 13. 317–320. 2 indexed citations

17.

Levandoski, Justin J., Mohamed E. Khalefa, & Mohamed F. Mokbel. (2010). On Producing High and Early Result Throughput in Multi-join Query Plans. 1 indexed citations

18.

Levandoski, Justin J., Mohamed F. Mokbel, & Mohamed E. Khalefa. (2010). CareDB. Proceedings of the VLDB Endowment. 3(1-2). 1529–1532. 11 indexed citations

19.

Levandoski, Justin J., Mohamed F. Mokbel, & Mohamed E. Khalefa. (2010). Preference query evaluation over expensive attributes. 319–328. 12 indexed citations

20.

Levandoski, Justin J. & Mohamed F. Mokbel. (2009). RDF Data-Centric Storage. 911–918. 38 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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