R. M. Banakar

1.3k citations
36 papers · 852 indexed · 1 hit paper · h-index 10
Topics
Parallel Computing and Optimization Techniques (8 papers)Digital Filter Design and Implementation (6 papers)Low-power high-performance VLSI design (5 papers)
Journals
Image and Vision ComputingIET CommunicationsJournal of Physics Conference Series

In The Last Decade

R. M. Banakar

30 papers receiving 778 citations

Hit Papers

Scratchpad memory20022026201020182002100200300400

Peers

R. M. Banakar
Comparison fields: 5 of 49
  • Hardware and Architecture 633
  • Computer Networks and Communications 471
  • Electrical and Electronic Engineering 296
  • Information Systems 84
  • Artificial Intelligence 56
Replace Sung-Soo Lim with:
Sung-Soo Lim South Korea
Hossein Pedram Iran
Kenneth C. Barr United States
Mehdi Kargahi Iran
Edna Barros Brazil
Shanker Shreejith Singapore
Tianzheng Wang Canada
Pascale Minet France
Franz Korf Germany
Zhigang Sun China
R. M. Banakar relative to Sung-Soo Lim South Korea Sung-Soo Lim's profile →
Citations per field
00.5×2.6×
Sung-Soo Lim · 1×
Citations per year

Countries citing papers authored by R. M. Banakar

Since Specialization
Citations

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

Fields of papers citing papers by R. M. Banakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. M. Banakar

This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Banakar. A scholar is included among the top collaborators of R. M. Banakar 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 R. M. Banakar. R. M. Banakar 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 9
2 3
3 6
4 1
5 10
6 4
7 6
8 12
9 1
10 51
11
Implementation of 16X16 SRAM Memory Array using 180nm Technology
11
12 23
13 3
14 8
15 1
16 3
17 0
18 3
19
Scratchpad memorybreakdown →
456
20 88

About R. M. Banakar

R. M. Banakar is a scholar working on Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 36 papers that have together received 852 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Digital Filter Design and Implementation (6 papers) and Low-power high-performance VLSI design (5 papers). The work is most often cited by research in Hardware and Architecture (633 citations), Computer Networks and Communications (471 citations) and Electrical and Electronic Engineering (296 citations). R. M. Banakar has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Peter Marwedel, Stefan Steinke, S. Balakrishnan, Lars Wehmeyer, R. Sandhya, P. S. V. Nataraj and L.M. Patnaik. Their work appears in journals such as Image and Vision Computing, IET Communications and Journal of Physics Conference Series.

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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