Ujval J. Kapasi

3.4k citations
22 papers · 2.3k indexed · 1 hit paper · h-index 17
Topics
Parallel Computing and Optimization Techniques (16 papers)Interconnection Networks and Systems (13 papers)Embedded Systems Design Techniques (9 papers)
Partner nations
United States

In The Last Decade

Ujval J. Kapasi

22 papers receiving 2.1k citations

Hit Papers

Memory access scheduling20002026200820172000200400600

Peers

Ujval J. Kapasi
Comparison fields: 5 of 55
  • Hardware and Architecture 1.9k
  • Computer Networks and Communications 1.7k
  • Electrical and Electronic Engineering 462
  • Computer Vision and Pattern Recognition 231
  • Information Systems 206
Replace Peter Mattson with:
Peter Mattson United States
Roger Espasa Spain
Al Davis United States
Eric Sprangle United States
Ed Grochowski United States
Toni Juan Spain
Wilson Wai Lun Fung Canada
George L. Yuan Canada
Clyde P. Kruskal United States
Henry Wong Canada
Ujval J. Kapasi relative to Peter Mattson United States Peter Mattson's profile →
Citations per field
00.5×1.5×
Peter Mattson · 1×
Citations per year

Countries citing papers authored by Ujval J. Kapasi

Since Specialization
Citations

This map shows the geographic impact of Ujval J. Kapasi'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 Ujval J. Kapasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ujval J. Kapasi more than expected).

Fields of papers citing papers by Ujval J. Kapasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ujval J. Kapasi. 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 Ujval J. Kapasi. The network helps show where Ujval J. Kapasi may publish in the future.

Co-authorship network of co-authors of Ujval J. Kapasi

This figure shows the co-authorship network connecting the top 25 collaborators of Ujval J. Kapasi. A scholar is included among the top collaborators of Ujval J. Kapasi 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 Ujval J. Kapasi. Ujval J. Kapasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Conditional techniques for stream processing kernels
6
2 85
3 39
4 141
5 223
6 6
7 51
8 16
9 36
10 12
11 187
12 78
13 241
14 4
15 33
16
Memory access schedulingbreakdown →
717
17 35
18 66
19 17
20 6

About Ujval J. Kapasi

Ujval J. Kapasi is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Interconnection Networks and Systems (13 papers) and Embedded Systems Design Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (1.9k citations), Computer Networks and Communications (1.7k citations) and Computer Graphics and Computer-Aided Design (112 citations). Ujval J. Kapasi has collaborated with scholars based in United States. Frequent co-authors include William J. Dally, John D. Owens, Scott Rixner, Peter Mattson, Brucek Khailany, Jung Ho Ahn, Abhishek Das, Brian Towles, Jae‐Eun Namkoong and Andrew Chang. Their work appears in journals such as Computer, ACM SIGPLAN Notices and IEEE Micro.

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.

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