This map shows the geographic impact of Alekh Jindal'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 Alekh Jindal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alekh Jindal more than expected).
This network shows the impact of papers produced by Alekh Jindal. 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 Alekh Jindal. The network helps show where Alekh Jindal may publish in the future.
Co-authorship network of co-authors of Alekh Jindal
This figure shows the co-authorship network connecting the top 25 collaborators of Alekh Jindal.
A scholar is included among the top collaborators of Alekh Jindal 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 Alekh Jindal. Alekh Jindal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jindal, Alekh, Brandon Haynes, Carlo Curino, et al.. (2021). Magpie: Python at Speed and Scale using Cloud Backends.. Conference on Innovative Data Systems Research.9 indexed citations
3.
Patel, Hiren, Alekh Jindal, B. Keith Jenkins, et al.. (2021). The cosmos big data platform at Microsoft. Proceedings of the VLDB Endowment. 14(12). 3148–3161.6 indexed citations
4.
Jindal, Alekh & Matteo Interlandi. (2021). Machine Learning for Cloud Data Systems: the Promise, the Progress, and the Path Forward.. 14. 3202–3205.1 indexed citations
5.
Jindal, Alekh & Matteo Interlandi. (2021). Machine learning for cloud data systems. Proceedings of the VLDB Endowment. 14(12). 3202–3205.5 indexed citations
6.
Jindal, Alekh, et al.. (2020). Towards Plan-aware Resource Allocation in Serverless Query Processing.3 indexed citations
7.
Jindal, Alekh, et al.. (2019). Peregrine. 416–427.20 indexed citations
Jindal, Alekh, et al.. (2013). How Achaeans Would Construct Columns in Troy. Conference on Innovative Data Systems Research.2 indexed citations
14.
Jindal, Alekh, Jorge-Arnulfo Quiané-Ruiz, & Jens Dittrich. (2013). WWHow! Freeing Data Storage from Cages. Conference on Innovative Data Systems Research.8 indexed citations
Schuhknecht, Felix, Alekh Jindal, & Jens Dittrich. (2013). The uncracked pieces in database cracking. Proceedings of the VLDB Endowment. 7(2). 97–108.43 indexed citations
17.
Dittrich, Jens & Alekh Jindal. (2011). Towards a One Size Fits All Database Architecture.. Conference on Innovative Data Systems Research. 195–198.35 indexed citations
Jindal, Alekh. (2010). The Mimicking Octopus: Towards a one-size-fits-all Database Architecture. Very Large Data Bases.2 indexed citations
20.
Dutt, Dharm, J. S. Upadhyaya, Alekh Jindal, & C. H. Tyagi. (2003). Development of specialty paper is an art: Azure laid ledger paper from indigenous raw material. Part V. Journal of Scientific & Industrial Research. 62(5). 443–446.1 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.