Ankur Dave

6.4k total citations · 2 hit papers
11 papers, 4.1k citations indexed

About

Ankur Dave is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ankur Dave has authored 11 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ankur Dave's work include Graph Theory and Algorithms (4 papers), Cloud Computing and Resource Management (4 papers) and Cryptography and Data Security (2 papers). Ankur Dave is often cited by papers focused on Graph Theory and Algorithms (4 papers), Cloud Computing and Resource Management (4 papers) and Cryptography and Data Security (2 papers). Ankur Dave collaborates with scholars based in United States, United Kingdom and Netherlands. Ankur Dave's co-authors include Ion Stoica, Matei Zaharia, Michael J. Franklin, Tathagata Das, Scott Shenker, Justin Ma, Mosharaf Chowdhury, Joseph E. Gonzalez, Michael Armbrust and Reynold Xin and has published in prestigious journals such as Communications of the ACM, American Journal of Health-System Pharmacy and The Journal of Knee Surgery.

In The Last Decade

Ankur Dave

11 papers receiving 3.9k citations

Hit Papers

Resilient distributed datasets: a fault-tolerant abstract... 2012 2026 2016 2021 2012 2016 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankur Dave United States 8 2.3k 2.1k 1.5k 759 574 11 4.1k
Tathagata Das United States 17 3.8k 1.7× 3.2k 1.5× 1.8k 1.2× 993 1.3× 759 1.3× 25 5.9k
Reynold Xin United States 17 2.0k 0.9× 1.8k 0.8× 1.4k 1.0× 822 1.1× 652 1.1× 23 3.9k
Shivaram Venkataraman United States 24 2.4k 1.0× 2.0k 1.0× 1.0k 0.7× 560 0.7× 282 0.5× 61 3.7k
Justin Ma United States 18 3.4k 1.5× 3.4k 1.6× 1.8k 1.3× 684 0.9× 1.3k 2.3× 27 5.2k
Sanjay Radia United States 7 3.3k 1.5× 2.9k 1.4× 863 0.6× 552 0.7× 323 0.6× 19 4.5k
Hairong Kuang United States 6 2.7k 1.2× 2.2k 1.0× 694 0.5× 390 0.5× 285 0.5× 10 3.7k
Konstantin V. Shvachko United States 3 2.3k 1.0× 1.9k 0.9× 621 0.4× 367 0.5× 263 0.5× 7 3.2k
Volker Markl Germany 31 3.2k 1.4× 2.0k 1.0× 1.6k 1.1× 929 1.2× 1.5k 2.5× 230 4.8k
Mike Burrows United States 8 3.8k 1.7× 2.8k 1.3× 665 0.5× 354 0.5× 439 0.8× 16 4.4k
Jingren Zhou United States 31 1.5k 0.7× 1.4k 0.7× 1.7k 1.1× 872 1.1× 623 1.1× 138 3.5k

Countries citing papers authored by Ankur Dave

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Dave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Dave

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

All Works

11 of 11 papers shown
1.
Dave, Ankur, et al.. (2022). Promoting β-lactam utilization through suppression of electronic medical record cross-allergy alerts. American Journal of Health-System Pharmacy. 79(Supplement_2). S43–S52. 5 indexed citations
2.
Dave, Ankur, et al.. (2020). Oblivious coopetitive analytics using hardware enclaves. 1–17. 20 indexed citations
3.
Uta, Alexandru, et al.. (2019). [Demo] Low-latency Spark Queries on Updatable Data. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 2009–2012. 6 indexed citations
4.
Zheng, Wenting, Ankur Dave, Jethro G. Beekman, et al.. (2017). Opaque: an oblivious and encrypted distributed analytics platform. Networked Systems Design and Implementation. 283–298. 137 indexed citations
5.
Zaharia, Matei, Reynold Xin, Patrick Wendell, et al.. (2016). Apache Spark. Communications of the ACM. 59(11). 56–65. 1371 indexed citations breakdown →
6.
Dave, Ankur, Alekh Jindal, Li Erran Li, et al.. (2016). GraphFrames. 1–8. 43 indexed citations
7.
Dave, Ankur, et al.. (2015). Impact of Chest Pain Protocol Targeting Intermediate Cardiac Risk Patients in an Observation Unit of an Academic Tertiary Care Center. Journal of Clinical Medicine Research. 8(2). 111–115. 4 indexed citations
8.
Zeng, Kai, Sameer Agarwal, Ankur Dave, Michael Armbrust, & Ion Stoica. (2015). G-OLA. 913–918. 52 indexed citations
10.
Zaharia, Matei, Mosharaf Chowdhury, Tathagata Das, et al.. (2012). Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. UC Berkeley. 2–2. 2411 indexed citations breakdown →
11.
Dave, Ankur, Wei Lü, Jared Jackson, & Roger Barga. (2011). CloudClustering: Toward an Iterative Data Processing Pattern on the Cloud. 1132–1137. 12 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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