R. Uma

1.2k citations
49 papers · 706 · h-index 13

Impact in

Papers in

R. Uma

43 papers receiving 637 citations

Peers

R. Uma
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 166
  • Hardware and Architecture 105
  • Computer Networks and Communications 301
  • Computational Theory and Mathematics 76
  • Electrical and Electronic Engineering 255
Replace Tung Khac Truong with:
Tung Khac Truong Vietnam
Ying Mao United States
Iván Mura Italy
Ji Li China
Congfeng Jiang China
Jurij Šilc Slovenia
Aleksander Byrski Poland
Marcelo Teixeira Brazil
Frédéric Guinand France
Hussein Al-Zoubi Jordan
R. Uma relative to Tung Khac Truong Vietnam Tung Khac Truong's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. Uma

Since Specialization
Citations

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

Fields of papers citing papers by R. Uma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Uma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Uma Line = papers co-authored together R. Uma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003109
2 2016108
3 201286
4 199679
5 200330
6 200029
7 201326
8 200525
9 199822
10 201418
11 200018
12 202213
13
FPGA Implementation of 2-D DCT for JPEG Image Compression
201113
14 201811
15 201810
16
Design and Performance Analysis of 8-bit RISC Processor using Xilinx Tool
20149
17 20207
18 20166
19 20196
20 20226

About R. Uma

R. Uma is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 49 papers that have together received 706 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (7 papers), Optimization and Search Problems (5 papers), Scheduling and Optimization Algorithms (5 papers), Quantum-Dot Cellular Automata (5 papers), Climate variability and models (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Embedded Systems Design Techniques (4 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (166 citations), Hardware and Architecture (105 citations), Computer Networks and Communications (301 citations), Computational Theory and Mathematics (76 citations) and Electrical and Electronic Engineering (255 citations). R. Uma has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Joel Wein, Susan Flynn Hummel, Jeanette P. Schmidt, Rasheed Hussain, Donghyun Kim, Daniel W. Engels, Stavros G. Kolliopoulos, Sudipta Sengupta, Sejin Lee and David R. Karger. Their work appears in journals such as Natural Hazards, Journal of Environmental Informatics, IEEE Journal on Selected Areas in Communications, Journal of King Saud University - Engineering Sciences and INFORMS journal on computing.

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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