Joy Arulraj

1.8k total citations
44 papers, 1.2k citations indexed

About

Joy Arulraj is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joy Arulraj has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 13 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joy Arulraj's work include Advanced Data Storage Technologies (15 papers), Distributed systems and fault tolerance (14 papers) and Parallel Computing and Optimization Techniques (12 papers). Joy Arulraj is often cited by papers focused on Advanced Data Storage Technologies (15 papers), Distributed systems and fault tolerance (14 papers) and Parallel Computing and Optimization Techniques (12 papers). Joy Arulraj collaborates with scholars based in United States, India and United Kingdom. Joy Arulraj's co-authors include Andrew Pavlo, Subramanya R. Dulloor, Prashanth Menon, Justin J. Levandoski, Per-Åke Larson, Umar Farooq Minhas, Matthew Perron, Yingjun Wu, Garth A. Gibson and Qing Zheng and has published in prestigious journals such as Communications of the ACM, Computer and Proceedings of the VLDB Endowment.

In The Last Decade

Joy Arulraj

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy Arulraj United States 18 1.1k 478 470 165 117 44 1.2k
Kaushik Veeraraghavan United States 17 1.0k 1.0× 437 0.9× 476 1.0× 215 1.3× 192 1.6× 28 1.2k
Peter Alvaro United States 14 1.1k 1.0× 166 0.3× 760 1.6× 230 1.4× 150 1.3× 48 1.2k
Raju Rangaswami United States 19 1.2k 1.2× 409 0.9× 700 1.5× 170 1.0× 50 0.4× 64 1.3k
Haryadi S. Gunawi United States 23 1.7k 1.6× 449 0.9× 847 1.8× 305 1.8× 79 0.7× 70 1.9k
R. Raghuraman India 5 719 0.7× 516 1.1× 438 0.9× 157 1.0× 54 0.5× 9 1.0k
Ming Wu United States 12 621 0.6× 189 0.4× 412 0.9× 197 1.2× 35 0.3× 26 839
Yuan Yu United States 9 535 0.5× 539 1.1× 190 0.4× 211 1.3× 51 0.4× 25 804
Orran Krieger United States 22 1.4k 1.3× 873 1.8× 720 1.5× 406 2.5× 60 0.5× 70 1.6k
Malte Schwarzkopf United States 13 1.1k 1.0× 280 0.6× 963 2.0× 132 0.8× 57 0.5× 29 1.2k
Eric Tune United States 10 1.4k 1.3× 577 1.2× 1.1k 2.3× 156 0.9× 32 0.3× 12 1.6k

Countries citing papers authored by Joy Arulraj

Since Specialization
Citations

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

Fields of papers citing papers by Joy Arulraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Arulraj

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Arulraj. A scholar is included among the top collaborators of Joy Arulraj 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 Joy Arulraj. Joy Arulraj 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.
Chu, Xu, et al.. (2024). SketchQL: Video Moment Querying with a Visual Query Interface. Proceedings of the ACM on Management of Data. 2(4). 1–27. 1 indexed citations
2.
Chu, Xu, et al.. (2024). SketchQL Demonstration: Zero-Shot Video Moment Querying with Sketches. Proceedings of the VLDB Endowment. 17(12). 4429–4432. 1 indexed citations
3.
Wan, Lipeng, Jieyang Chen, Xin Liang, et al.. (2023). RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 87–100.
4.
Cao, Jiashen, Rathijit Sen, Matteo Interlandi, Joy Arulraj, & Hyesoon Kim. (2023). GPU Database Systems Characterization and Optimization. Proceedings of the VLDB Endowment. 17(3). 441–454. 14 indexed citations
5.
Zhou, Qi, Joy Arulraj, Shamkant B. Navathe, William R. Harris, & Jinpeng Wu. (2022). SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2735–2748. 11 indexed citations
6.
Arulraj, Joy. (2022). Accelerating Video Analytics. ACM SIGMOD Record. 50(4). 39–40. 2 indexed citations
7.
Arulraj, Joy, Abhijit Chatterjee, Alexandros Daglis, Ashutosh Dhekne, & Umakishore Ramachandran. (2021). eCloud: A Vision for the Evolution of the Edge-Cloud Continuum. Computer. 54(5). 24–33. 8 indexed citations
8.
Zhou, Qi, Joy Arulraj, Shamkant B. Navathe, William R. Harris, & Jinpeng Wu. (2020). SPES: A Two-Stage Query Equivalence Verifier.. arXiv (Cornell University). 1 indexed citations
9.
Arulraj, Joy & Andrew Pavlo. (2019). Non-Volatile Memory Database Management Systems. 8 indexed citations
10.
Cao, Jiashen, Ramyad Hadidi, Joy Arulraj, & Hyesoon Kim. (2019). Video analytics from edge to server. 1–2. 2 indexed citations
11.
Zhou, Qi, Joy Arulraj, Shamkant B. Navathe, William R. Harris, & Dong Xu. (2019). Automated verification of query equivalence using satisfiability modulo theories. Proceedings of the VLDB Endowment. 12(11). 1276–1288. 26 indexed citations
12.
Arulraj, Joy & Andrew Pavlo. (2019). Non-Volatile Memory Database Management Systems. 11(1). 1–191. 7 indexed citations
13.
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
14.
Pavlo, Andrew, Joy Arulraj, Haibin Lin, et al.. (2017). Self-Driving Database Management Systems.. Conference on Innovative Data Systems Research. 130 indexed citations
15.
Arulraj, Joy, Andrew Pavlo, & Subramanya R. Dulloor. (2015). Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems. 707–722. 151 indexed citations
16.
Arulraj, Joy, et al.. (2014). A Prolegomenon on OLTP Database Systems for Non-Volatile Memory.. 57–63. 36 indexed citations
17.
Arulraj, Joy, Guoliang Jin, & Shan Lu. (2014). Leveraging the short-term memory of hardware to diagnose production-run software failures. 207–222. 21 indexed citations
18.
Arulraj, Joy, Po-Chun Chang, Guoliang Jin, & Shan Lu. (2013). Production-run software failure diagnosis via hardware performance counters. 101–112. 32 indexed citations
19.
Arulraj, Joy, Po-Chun Chang, Guoliang Jin, & Shan Lu. (2013). Production-run software failure diagnosis via hardware performance counters. ACM SIGARCH Computer Architecture News. 41(1). 101–112. 1 indexed citations
20.
Arulraj, Joy. (2010). Adaptive agent generation using machine learning for dynamic difficulty adjustment. 3. 746–751. 3 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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