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.
Using probabilistic generative models for ranking risks of Android apps
2012260 citationsHao Peng, Chris Gates et al.profile →
Citations per year, relative to Rahul Potharaju Rahul Potharaju (= 1×)
peers
Christian Platzer
Countries citing papers authored by Rahul Potharaju
Since
Specialization
Citations
This map shows the geographic impact of Rahul Potharaju'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 Rahul Potharaju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Potharaju more than expected).
This network shows the impact of papers produced by Rahul Potharaju. 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 Rahul Potharaju. The network helps show where Rahul Potharaju may publish in the future.
Co-authorship network of co-authors of Rahul Potharaju
This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Potharaju.
A scholar is included among the top collaborators of Rahul Potharaju 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 Rahul Potharaju. Rahul Potharaju 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.
Potharaju, Rahul, Wentao Wu, Pouria Pirzadeh, et al.. (2021). Hyperspace. Proceedings of the VLDB Endowment. 14(12). 3043–3055.7 indexed citations
2.
Bernstein, Philip A., et al.. (2019). Serverless Event-Stream Processing over Virtual Actors.. Conference on Innovative Data Systems Research.2 indexed citations
Potharaju, Rahul, Navendu Jain, & Cristina Nita-Rotaru. (2013). Juggling the Jigsaw: towards automated problem inference from network trouble tickets. Networked Systems Design and Implementation. 127–142.44 indexed citations
8.
Peng, Hao, Chris Gates, Ninghui Li, et al.. (2013). Using probabilistic generative models for ranking risks of android apps. 25.1 indexed citations
Mondal, Amit Kumar, et al.. (2010). Network Monitoring is People: Understanding End-user Perception of Network Problems.1 indexed citations
19.
Potharaju, Rahul & Cristina Nita-Rotaru. (2010). Pandora. ACM SIGMOBILE Mobile Computing and Communications Review. 14(4). 16–18.2 indexed citations
20.
Chen, Kai, David Choffnes, Rahul Potharaju, et al.. (2009). Where the sidewalk ends. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 217–228.94 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.