Tomer Kaftan

1.4k total citations · 1 hit paper
4 papers, 886 citations indexed

About

Tomer Kaftan is a scholar working on Information Systems and Management, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Tomer Kaftan has authored 4 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems and Management, 1 paper in Computer Networks and Communications and 1 paper in Sociology and Political Science. Recurrent topics in Tomer Kaftan's work include Scientific Computing and Data Management (2 papers), Retinal Imaging and Analysis (1 paper) and Image Retrieval and Classification Techniques (1 paper). Tomer Kaftan is often cited by papers focused on Scientific Computing and Data Management (2 papers), Retinal Imaging and Analysis (1 paper) and Image Retrieval and Classification Techniques (1 paper). Tomer Kaftan collaborates with scholars based in United States. Tomer Kaftan's co-authors include Michael J. Franklin, Joseph K. Bradley, Yin Huai, Matei Zaharia, Michael Armbrust, Xiangrui Meng, Cheng Lian, Reynold Xin, Ali Ghodsi and Shivaram Venkataraman and has published in prestigious journals such as Proceedings of the VLDB Endowment.

In The Last Decade

Tomer Kaftan

4 papers receiving 829 citations

Hit Papers

Spark SQL 2015 2026 2018 2022 2015 250 500 750

Peers

Tomer Kaftan
Badrish Chandramouli United States
Yin Huai United States
Tilmann Rabl Germany
Meikel Poess United States
Karthik Ramasamy United States
Alekh Jindal United States
Krishna Gade United States
Sameer Agarwal United States
Jonathan Goldstein United States
Andrey Balmin United States
Badrish Chandramouli United States
Tomer Kaftan
Citations per year, relative to Tomer Kaftan Tomer Kaftan (= 1×) peers Badrish Chandramouli

Countries citing papers authored by Tomer Kaftan

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Kaftan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Kaftan

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

All Works

4 of 4 papers shown
1.
Zolyomi, Annuska, et al.. (2020). #ActuallyAutistic Sense-Making on Twitter. 1–4. 12 indexed citations
2.
Kaftan, Tomer, Alvin Cheung, Magdalena Bałazińska, et al.. (2017). Comparative evaluation of big-data systems on scientific image analytics workloads. Proceedings of the VLDB Endowment. 10(11). 1226–1237. 38 indexed citations
3.
Sparks, Evan, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, & Benjamin Recht. (2017). KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. 535–546. 75 indexed citations
4.
Armbrust, Michael, Reynold Xin, Cheng Lian, et al.. (2015). Spark SQL. 1383–1394. 761 indexed citations breakdown →

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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