Vivek Sarkar
About
In The Last Decade
Vivek Sarkar
229 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Hardware and Architecture 5.9k
- Computer Networks and Communications 5.3k
- Information Systems 1.7k
- Artificial Intelligence 1.6k
- Electrical and Electronic Engineering 764
Countries citing papers authored by Vivek Sarkar
This map shows the geographic impact of Vivek Sarkar'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 Vivek Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Sarkar more than expected).
Fields of papers citing papers by Vivek Sarkar
This network shows the impact of papers produced by Vivek Sarkar. 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 Vivek Sarkar. The network helps show where Vivek Sarkar may publish in the future.
Co-authorship network of co-authors of Vivek Sarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Sarkar. A scholar is included among the top collaborators of Vivek Sarkar 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 Vivek Sarkar. Vivek Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. | 1 |
| 6 | A Data-Centric Approach for Modeling and Estimating Efficiency of Dataflows for Accelerator Design | 5 |
| 7 | Topkapi: parallel and fast sketches for finding top-K frequent elements | 6 |
| 8 | Understanding Reuse, Performance, and Hardware Cost of DNN Dataflows: A Data-Centric Approach | 3 |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming | 13 |
| 16 | Report on the Experimental Language X10 | 10 |
| 17 | 16 | |
| 18 | Location Consistency: Stepping Beyond the Memory Coherence Barrier. | 5 |
| 19 | Experiences using control dependence in PTRAN | 25 |
| 20 | Processor Scheduling Algorithms for Constraint-Satisfaction Search Problems. | 6 |
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.