Venkata Jakkula
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Srimat ChakradharSrihari CadambiEric CosattoHans Peter GrafIgor ĐurđanovićHaris LekatsasJörg HenkelJahangir Hasan
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Embedded Systems Design Techniques (5 papers)Interconnection Networks and Systems (3 papers)
- Journals
- IEEE Design & Test of ComputersNeural Information Processing SystemsACM SIGARCH Computer Architecture News
- Partner nations
- United States
In The Last Decade
Venkata Jakkula
13 papers receiving 714 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 472
- Electrical and Electronic Engineering 439
- Artificial Intelligence 279
- Hardware and Architecture 242
- Computer Networks and Communications 107
Countries citing papers authored by Venkata Jakkula
This map shows the geographic impact of Venkata Jakkula'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 Venkata Jakkula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkata Jakkula more than expected).
Fields of papers citing papers by Venkata Jakkula
This network shows the impact of papers produced by Venkata Jakkula. 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 Venkata Jakkula. The network helps show where Venkata Jakkula may publish in the future.
Co-authorship network of co-authors of Venkata Jakkula
This figure shows the co-authorship network connecting the top 25 collaborators of Venkata Jakkula. A scholar is included among the top collaborators of Venkata Jakkula 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 Venkata Jakkula. Venkata Jakkula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 114 | |
| 2 | 256 | |
| 3 | 175 | |
| 4 | 62 | |
| 5 | A Massively Parallel Digital Learning Processor | 26 |
| 6 | 39 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 38 |
About Venkata Jakkula
Venkata Jakkula is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 756 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Embedded Systems Design Techniques (5 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (242 citations), Computer Vision and Pattern Recognition (472 citations) and Computational Mathematics (6 citations). Venkata Jakkula has collaborated with scholars based in United States. Frequent co-authors include Srimat Chakradhar, Srihari Cadambi, Eric Cosatto, Hans Peter Graf, Igor Đurđanović, Haris Lekatsas, Jörg Henkel and Jahangir Hasan. Their work appears in journals such as IEEE Design & Test of Computers, Neural Information Processing Systems and ACM SIGARCH Computer Architecture News.
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.