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.
Agile dynamic provisioning of multi-tier Internet applications
2008333 citationsPrashant Shenoy, Abhishek Chandra et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Abhishek Chandra
Since
Specialization
Citations
This map shows the geographic impact of Abhishek Chandra'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 Abhishek Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Chandra more than expected).
Fields of papers citing papers by Abhishek Chandra
This network shows the impact of papers produced by Abhishek Chandra. 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 Abhishek Chandra. The network helps show where Abhishek Chandra may publish in the future.
Co-authorship network of co-authors of Abhishek Chandra
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Chandra.
A scholar is included among the top collaborators of Abhishek Chandra 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 Abhishek Chandra. Abhishek Chandra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chandra, Abhishek, et al.. (2019). Dlion: Decentralized distributed deep learning in micro-clouds. IEEE International Conference on Cloud Computing Technology and Science.10 indexed citations
Chandra, Abhishek, et al.. (2015). Enabling scalable social group analytics via hypergraph analysis systems. IEEE International Conference on Cloud Computing Technology and Science. 14–14.2 indexed citations
Chandra, Abhishek & Jon Weissman. (2009). Nebulas: using distributed voluntary resources to build clouds. IEEE International Conference on Cloud Computing Technology and Science. 2.49 indexed citations
14.
Chandra, Abhishek, et al.. (2009). Virtual putty. IEEE International Conference on Cloud Computing Technology and Science.1 indexed citations
15.
Chandra, Abhishek, et al.. (2006). PSS: Predictive Energy-Efficient Sensing Scheduling in Wireless Sensor Networks. Defense Technical Information Center (DTIC).3 indexed citations
Chandra, Abhishek, Pawan Goyal, & Prashant Shenoy. (2003). Quantifying the Benefits of Resource Multiplexing in On-Demand Data Centers. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).28 indexed citations
19.
Chandra, Abhishek & David Mosberger. (2000). Scalability of Linux Event-Dispatch Mechanisms. OpenGrey (Institut de l'Information Scientifique et Technique). 231–244.24 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.