Krishna Kandalla
- Computer Networks and Communications top 2%
- Hardware and Architecture top 2%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Dhabaleswar K. PandaHari SubramoniSayantan SurKaren TomkoSreeram PotluriJithin JoseAbhinav VishnuAkshay Venkatesh
- Topics
- Parallel Computing and Optimization Techniques (27 papers)Distributed and Parallel Computing Systems (16 papers)Interconnection Networks and Systems (14 papers)
- Partner nations
- United States
In The Last Decade
Krishna Kandalla
30 papers receiving 531 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 493
- Hardware and Architecture 388
- Information Systems 172
- Electrical and Electronic Engineering 63
- Artificial Intelligence 34
Countries citing papers authored by Krishna Kandalla
This map shows the geographic impact of Krishna Kandalla'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 Krishna Kandalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Kandalla more than expected).
Fields of papers citing papers by Krishna Kandalla
This network shows the impact of papers produced by Krishna Kandalla. 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 Krishna Kandalla. The network helps show where Krishna Kandalla may publish in the future.
Co-authorship network of co-authors of Krishna Kandalla
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Kandalla. A scholar is included among the top collaborators of Krishna Kandalla 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 Krishna Kandalla. Krishna Kandalla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | 11 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 29 | |
| 11 | 23 | |
| 12 | 7 | |
| 13 | 36 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 27 | |
| 17 | 39 | |
| 18 | 16 | |
| 19 | 33 | |
| 20 | 52 |
About Krishna Kandalla
Krishna Kandalla is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 554 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Distributed and Parallel Computing Systems (16 papers) and Interconnection Networks and Systems (14 papers). The work is most often cited by research in Hardware and Architecture (388 citations), Computer Networks and Communications (493 citations) and Information Systems (172 citations). Krishna Kandalla has collaborated with scholars based in United States. Frequent co-authors include Dhabaleswar K. Panda, Hari Subramoni, Sayantan Sur, Karen Tomko, Sreeram Potluri, Jithin Jose, Abhinav Vishnu, Akshay Venkatesh, Khaled Hamidouche and Devendar Bureddy. Their work appears in journals such as Computer, ACM SIGPLAN Notices and Concurrency and Computation Practice and Experience.
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.