Anuj Kalia
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Michael KaminskyDavid G. AndersenHyeontaek LimVictor W. LeeO SeongilDong ZhouJung Ho AhnPradeep Dubey
- Topics
- Parallel Computing and Optimization Techniques (10 papers)Advanced Data Storage Technologies (9 papers)Cloud Computing and Resource Management (7 papers)
- Journals
- IEEE Transactions on ComputersACM SIGCOMM Computer Communication ReviewACM Transactions on Computer Systems
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Anuj Kalia
18 papers receiving 959 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 914
- Information Systems 571
- Hardware and Architecture 361
- Electrical and Electronic Engineering 98
- Artificial Intelligence 73
Countries citing papers authored by Anuj Kalia
This map shows the geographic impact of Anuj Kalia'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 Anuj Kalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Kalia more than expected).
Fields of papers citing papers by Anuj Kalia
This network shows the impact of papers produced by Anuj Kalia. 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 Anuj Kalia. The network helps show where Anuj Kalia may publish in the future.
Co-authorship network of co-authors of Anuj Kalia
This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Kalia. A scholar is included among the top collaborators of Anuj Kalia 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 Anuj Kalia. Anuj Kalia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 30 | |
| 8 | 37 | |
| 9 | Putting the Micro back in microservice | 24 |
| 10 | 52 | |
| 11 | Design Guidelines for High Performance RDMA Systems. | 136 |
| 12 | 168 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | Raising the bar for using GPUs in software packet processing | 49 |
| 16 | 4 | |
| 17 | 92 | |
| 18 | Using RDMA efficiently for key-value servicesbreakdown → | 281 |
| 19 | 67 |
About Anuj Kalia
Anuj Kalia is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 19 papers that have together received 986 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (9 papers) and Cloud Computing and Resource Management (7 papers). The work is most often cited by research in Hardware and Architecture (361 citations), Computer Networks and Communications (914 citations) and Information Systems (571 citations). Anuj Kalia has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Michael Kaminsky, David G. Andersen, Hyeontaek Lim, Victor W. Lee, O Seongil, Dong Zhou, Jung Ho Ahn, Pradeep Dubey, Sukhan Lee and Sheng Li. Their work appears in journals such as IEEE Transactions on Computers, ACM SIGCOMM Computer Communication Review and ACM Transactions on Computer Systems.
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.