Anirudh Badam
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 14
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- Advanced Data Storage Technologies 19
- Caching and Content Delivery 11
- Distributed systems and fault tolerance 4
- Wireless Networks and Protocols 3
- Peer-to-Peer Network Technologies 2
- Information Systems top 2%
- Cloud Computing and Resource Management 12
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- Green IT and Sustainability 3
- Co-authors
- Vivek S. PaiEdmund B. NightingaleAleksandar DragojevićAlex ShamisMatthew J. RenzelmannJian HuangDushyanth NarayananMiguel Castro
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Anirudh Badam
29 papers receiving 845 citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 380
- Computer Networks and Communications 756
- Information Systems 330
- Automotive Engineering 36
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Anirudh Badam
This map shows the geographic impact of Anirudh Badam'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 Anirudh Badam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirudh Badam more than expected).
Fields of papers citing papers by Anirudh Badam
This network shows the impact of papers produced by Anirudh Badam. 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 Anirudh Badam. The network helps show where Anirudh Badam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anirudh Badam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 10 | |
| 4 | 2020 | 43 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 2 | |
| 8 | 2017 | 13 | |
| 9 | FlashBlox: achieving both performance isolation and uniform lifetime for virtualized SSDs | 2017 | 55 |
| 10 | Log-structured non-volatile main memory | 2017 | 28 |
| 11 | Hybrid NVM Enabled Datacenter Design and Optimization | 2017 | 5 |
| 12 | 2017 | 11 | |
| 13 | 2016 | 6 | |
| 14 | WearDrive: fast and energy-efficient storage for wearables | 2015 | 31 |
| 15 | 2013 | 5 | |
| 16 | 2011 | 98 | |
| 17 | SSDAlloc: Hybrid RAM/SSD Memory Allocation Made Easy | 2011 | 0 |
| 18 | 2011 | 5 | |
| 19 | 2010 | 5 | |
| 20 | HashCache: cache storage for the next billion | 2009 | 52 |
About Anirudh Badam
Anirudh Badam is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (19 papers), Parallel Computing and Optimization Techniques (14 papers), Cloud Computing and Resource Management (12 papers), Caching and Content Delivery (11 papers), Distributed systems and fault tolerance (4 papers), Green IT and Sustainability (3 papers), Wireless Networks and Protocols (3 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (380 citations), Computer Networks and Communications (756 citations) and Information Systems (330 citations). Anirudh Badam has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Vivek S. Pai, Edmund B. Nightingale, Aleksandar Dragojević, Alex Shamis, Matthew J. Renzelmann, Jian Huang, Dushyanth Narayanan, Miguel Castro, Moinuddin K. Qureshi and Ranveer Chandra. Their work appears in journals such as Nature Communications, Communications of the ACM and Computer.
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.