Trishul Chilimbi
- Computer Networks and Communications top 0.5%
- Hardware and Architecture top 0.2%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- James R. LarusWoongki BaekMatthias HauswirthMark D. HillMartin HirzelSumit GulwaniKarthik KalyanaramanJohnson Apacible
- Topics
- Parallel Computing and Optimization Techniques (44 papers)Advanced Data Storage Technologies (33 papers)Cloud Computing and Resource Management (17 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Trishul Chilimbi
76 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Networks and Communications 2.1k
- Hardware and Architecture 2.1k
- Artificial Intelligence 1.2k
- Information Systems 1.0k
- Electrical and Electronic Engineering 506
Countries citing papers authored by Trishul Chilimbi
This map shows the geographic impact of Trishul Chilimbi'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 Trishul Chilimbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trishul Chilimbi more than expected).
Fields of papers citing papers by Trishul Chilimbi
This network shows the impact of papers produced by Trishul Chilimbi. 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 Trishul Chilimbi. The network helps show where Trishul Chilimbi may publish in the future.
Co-authorship network of co-authors of Trishul Chilimbi
This figure shows the co-authorship network connecting the top 25 collaborators of Trishul Chilimbi. A scholar is included among the top collaborators of Trishul Chilimbi 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 Trishul Chilimbi. Trishul Chilimbi 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 | 0 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 37 | |
| 7 | Project Adam: building an efficient and scalable deep learning training systembreakdown → | 352 |
| 8 | 13 | |
| 9 | Greenbreakdown → | 333 |
| 10 | 34 | |
| 11 | 197 | |
| 12 | 36 | |
| 13 | 36 | |
| 14 | 29 | |
| 15 | 93 | |
| 16 | 20 | |
| 17 | 126 | |
| 18 | 16 | |
| 19 | 13 | |
| 20 | 138 |
About Trishul Chilimbi
Trishul Chilimbi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 79 papers that have together received 3.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (44 papers), Advanced Data Storage Technologies (33 papers) and Cloud Computing and Resource Management (17 papers). The work is most often cited by research in Hardware and Architecture (2.1k citations), Software (492 citations) and Computer Networks and Communications (2.1k citations). Trishul Chilimbi has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James R. Larus, Woongki Baek, Matthias Hauswirth, Mark D. Hill, Martin Hirzel, Sumit Gulwani, Karthik Kalyanaraman, Johnson Apacible, Kapil Vaswani and Aditya V. Nori. Their work appears in journals such as Computer, Proceedings of the VLDB Endowment 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.