Srinivas Katkoori

135 papers receiving 1.6k citations

Hit Papers

Point & Teleport Locomotion Technique for Virtual Reality20162026201920222016100200300

Peers

Srinivas Katkoori
Comparison fields: 5 of 106
  • Electrical and Electronic Engineering 790
  • Hardware and Architecture 592
  • Human-Computer Interaction 413
  • Cognitive Neuroscience 287
  • Computer Vision and Pattern Recognition 247
Replace David Vernon with:
David Vernon Ireland
Hongan Wang China
Qi Zhao United States
Henk Muller United Kingdom
Abbas Rahimi United States
Jorge Pomares Spain
Ümit Y. Ogras United States
Andrea Bonarini Italy
Jie Qi China
David Kortenkamp United States
Srinivas Katkoori relative to David Vernon Ireland David Vernon's profile →
Citations per field
00.5×9.1×
David Vernon · 1×
Citations per year

Countries citing papers authored by Srinivas Katkoori

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Katkoori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srinivas Katkoori. 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 Srinivas Katkoori. The network helps show where Srinivas Katkoori may publish in the future.

Co-authorship network of co-authors of Srinivas Katkoori

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Katkoori. A scholar is included among the top collaborators of Srinivas Katkoori 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 Srinivas Katkoori. Srinivas Katkoori 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 5
2 1
3 3
4 1
5 2
6 4
7 15
8 2
9 36
10 23
11
VLSI-SoC: From Algorithms to Circuits and System-on-Chip Design 20th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, 2012
1
12 4
13 5
14 0
15
High-level synthesis framework for crosstalk minimization in vlsi asics
2
16 17
17 144
18
High level techniques for leakage power estimation and optimization in vlsi asics
7
19 1
20 2

About Srinivas Katkoori

Srinivas Katkoori is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Signal Processing, having authored 144 papers that have together received 1.7k indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (47 papers), Low-power high-performance VLSI design (47 papers) and Embedded Systems Design Techniques (33 papers). The work is most often cited by research in Hardware and Architecture (592 citations), Human-Computer Interaction (413 citations) and Cognitive Neuroscience (287 citations). Srinivas Katkoori has collaborated with scholars based in United States, Portugal and Switzerland. Frequent co-authors include Andrew Raij, Evren Bozgeyikli, Rajiv Dubey, Javier Ramos, Lal Bozgeyikli, Redwan Alqasemi, Ranga Vemuri, N. Ranganathan, Wai-Kei Mak and Adrian Stoica. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Computers and International Journal of Human-Computer Studies.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026