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.
The Case for VM-Based Cloudlets in Mobile Computing
20092.6k citationsMahadev Satyanarayanan et al.IEEE Pervasive Computingprofile →
Countries citing papers authored by Mahadev Satyanarayanan
Since
Specialization
Citations
This map shows the geographic impact of Mahadev Satyanarayanan'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 Mahadev Satyanarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahadev Satyanarayanan more than expected).
Fields of papers citing papers by Mahadev Satyanarayanan
This network shows the impact of papers produced by Mahadev Satyanarayanan. 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 Mahadev Satyanarayanan. The network helps show where Mahadev Satyanarayanan may publish in the future.
Co-authorship network of co-authors of Mahadev Satyanarayanan
This figure shows the co-authorship network connecting the top 25 collaborators of Mahadev Satyanarayanan.
A scholar is included among the top collaborators of Mahadev Satyanarayanan 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 Mahadev Satyanarayanan. Mahadev Satyanarayanan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Richter, W., Glenn Ammons, Jan Harkes, et al.. (2011). Privacy-sensitive VM retrospection. IEEE International Conference on Cloud Computing Technology and Science. 2011. 10–10.8 indexed citations
8.
Satyanarayanan, Mahadev, Rahul Sukthankar, Adam Goode, et al.. (2010). Searching Complex Data Without an Index.. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING. 1(2). 146–167.5 indexed citations
Bressoud, Thomas, Michael A. Kozuch, Casey J. Helfrich, & Mahadev Satyanarayanan. (2004). OpenCAS: A Flexible Architecture for Content Addressable Storage.. 580–587.2 indexed citations
Kozuch, Michael A., Mahadev Satyanarayanan, Mahadev Satyanarayanan, et al.. (2002). Efficient State Transfer for Internet Suspend/Resume.6 indexed citations
15.
Satyanarayanan, Mahadev. (2001). Interview: Mahadev Satyanarayanan on Mobile and Pervasive Computing.. IEEE Distributed Systems Online. 2.2 indexed citations
16.
Braam, Peter J., et al.. (1999). Porting the coda file system to windows. USENIX Annual Technical Conference. 30–30.2 indexed citations
17.
Satyanarayanan, Mahadev, et al.. (1994). Lightweight Recoverable Virtual Memory - Corrigendum.. ACM Transactions on Computer Systems. 12. 165–172.4 indexed citations
18.
Spasojevic, Mirjana & Mahadev Satyanarayanan. (1994). A usage profile and evaluation of a wide-area distributed file system. Defense Technical Information Center (DTIC). 24–24.13 indexed citations
Patterson, Russel H., Garth A. Gibson, & Mahadev Satyanarayanan. (1993). Using Transparent Informed Prefetching (TIP) to reduce file read latency.7 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.