Tejas S. Karkhanis
- Hardware and Architecture top 0.5%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 5%
- Artificial Intelligence
- Co-authors
- James E. SmithStijn EyermanLieven EeckhoutPradip BoseAlper BuyuktosunogluDavid H. AlbonesiJosé E. MoreiraPriya Nagpurkar
- Topics
- Parallel Computing and Optimization Techniques (18 papers)Low-power high-performance VLSI design (11 papers)Advanced Memory and Neural Computing (5 papers)
- Journals
- IBM Journal of Research and DevelopmentACM Transactions on Computer SystemsACM SIGPLAN Notices
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Tejas S. Karkhanis
20 papers receiving 837 citations
Peers
Comparison fields: 5 of 30
- Hardware and Architecture 790
- Computer Networks and Communications 624
- Electrical and Electronic Engineering 333
- Information Systems 191
- Artificial Intelligence 36
Countries citing papers authored by Tejas S. Karkhanis
This map shows the geographic impact of Tejas S. Karkhanis'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 Tejas S. Karkhanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejas S. Karkhanis more than expected).
Fields of papers citing papers by Tejas S. Karkhanis
This network shows the impact of papers produced by Tejas S. Karkhanis. 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 Tejas S. Karkhanis. The network helps show where Tejas S. Karkhanis may publish in the future.
Co-authorship network of co-authors of Tejas S. Karkhanis
This figure shows the co-authorship network connecting the top 25 collaborators of Tejas S. Karkhanis. A scholar is included among the top collaborators of Tejas S. Karkhanis 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 Tejas S. Karkhanis. Tejas S. Karkhanis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | 24 | |
| 3 | IBM Power Architecture. | 2 |
| 4 | 139 | |
| 5 | 16 | |
| 6 | 19 | |
| 7 | 52 | |
| 8 | 145 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 190 | |
| 13 | 97 | |
| 14 | 47 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Early-Stage Definition of LPX: a Low Power Issue-Execute Processor | 1 |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 27 |
About Tejas S. Karkhanis
Tejas S. Karkhanis is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 20 papers that have together received 878 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Low-power high-performance VLSI design (11 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Hardware and Architecture (790 citations), Computer Networks and Communications (624 citations) and Information Systems (191 citations). Tejas S. Karkhanis has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include James E. Smith, Stijn Eyerman, Lieven Eeckhout, Pradip Bose, Alper Buyuktosunoglu, David H. Albonesi, José E. Moreira, Priya Nagpurkar, Valentina Salapura and H. Q. Le. Their work appears in journals such as IBM Journal of Research and Development, ACM Transactions on Computer Systems and ACM SIGPLAN Notices.
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.