Karthik Kambatla
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Management Information Systems top 5%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Co-authors
- Ananth GramaVipin KumarGiorgos KolliasAbhinav PathakHimabindu PuchaYanpei ChenSuresh JagannathanÍñigo Goiri
- Topics
- Cloud Computing and Resource Management (7 papers)Advanced Data Storage Technologies (4 papers)Distributed and Parallel Computing Systems (3 papers)
- Journals
- Journal of Parallel and Distributed ComputingUSENIX Large Installation Systems Administration ConferenceIEEE International Conference on Cloud Computing Technology and Science
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Karthik Kambatla
7 papers receiving 676 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Information Systems 350
- Computer Networks and Communications 289
- Management Information Systems 196
- Artificial Intelligence 142
- Information Systems and Management 115
Countries citing papers authored by Karthik Kambatla
This map shows the geographic impact of Karthik Kambatla'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 Karthik Kambatla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Kambatla more than expected).
Fields of papers citing papers by Karthik Kambatla
This network shows the impact of papers produced by Karthik Kambatla. 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 Karthik Kambatla. The network helps show where Karthik Kambatla may publish in the future.
Co-authorship network of co-authors of Karthik Kambatla
This figure shows the co-authorship network connecting the top 25 collaborators of Karthik Kambatla. A scholar is included among the top collaborators of Karthik Kambatla 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 Karthik Kambatla. Karthik Kambatla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | The truth about MapReduce performance on SSDs | 31 |
| 4 | Trends in big data analyticsbreakdown → | 523 |
| 5 | 6 | |
| 6 | 32 | |
| 7 | Towards optimizing hadoop provisioning in the cloud | 131 |
About Karthik Kambatla
Karthik Kambatla is a scholar working on Hardware and Architecture, Information Systems and Computer Networks and Communications, having authored 7 papers that have together received 729 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Advanced Data Storage Technologies (4 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Management Information Systems (196 citations), Information Systems and Management (115 citations) and Information Systems (350 citations). Karthik Kambatla has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Ananth Grama, Vipin Kumar, Giorgos Kollias, Abhinav Pathak, Himabindu Pucha, Yanpei Chen, Suresh Jagannathan and Íñigo Goiri. Their work appears in journals such as Journal of Parallel and Distributed Computing, USENIX Large Installation Systems Administration Conference and IEEE International Conference on Cloud Computing Technology and Science.
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.