G. Lakshminarayanan

806 citations
101 papers · 556 indexed · h-index 12
Topics
Quantum-Dot Cellular Automata (25 papers)Advanced Memory and Neural Computing (23 papers)Interconnection Networks and Systems (18 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessElectronics Letters

In The Last Decade

G. Lakshminarayanan

94 papers receiving 506 citations

Peers

G. Lakshminarayanan
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 422
  • Computational Theory and Mathematics 241
  • Computer Networks and Communications 147
  • Signal Processing 109
  • Hardware and Architecture 101
Replace Vikramkumar Pudi with:
Vikramkumar Pudi India
Per Larsson-Edefors Sweden
Somayeh Timarchi Iran
Hongbing Pan China
Roy D. Cideciyan Switzerland
Abdolah Amirany Iran
Veerle Derudder Belgium
Ching Chuen Jong Singapore
Jinghang Liang Canada
Jonathan D. Coker United States
G. Lakshminarayanan relative to Vikramkumar Pudi India Vikramkumar Pudi's profile →
Citations per field
00.5×3.1×
Vikramkumar Pudi · 1×
Citations per year

Countries citing papers authored by G. Lakshminarayanan

Since Specialization
Citations

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

Fields of papers citing papers by G. Lakshminarayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Lakshminarayanan

This figure shows the co-authorship network connecting the top 25 collaborators of G. Lakshminarayanan. A scholar is included among the top collaborators of G. Lakshminarayanan 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 G. Lakshminarayanan. G. Lakshminarayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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FPGA based asynchronous pipelined OFDM for MB-OFDM UWB application
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About G. Lakshminarayanan

G. Lakshminarayanan is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Signal Processing, having authored 101 papers that have together received 556 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (25 papers), Advanced Memory and Neural Computing (23 papers) and Interconnection Networks and Systems (18 papers). The work is most often cited by research in Computational Theory and Mathematics (241 citations), Hardware and Architecture (101 citations) and Signal Processing (109 citations). G. Lakshminarayanan has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include B. Venkataramani, Seok‐Bum Ko, Mathini Sellathurai, Seok-Bum Ko, M. Vijaya Santhi, Suhaib Ahmed, N. Ramasubramanian, Nagi G. Naganathan, Silvia Salini and Ravi Sundaram. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Electronics Letters.

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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