Ranjani Narayan

429 citations
49 papers · 305 · h-index 10

Impact in

Papers in

Ranjani Narayan

48 papers receiving 292 citations

Peers

Ranjani Narayan
Comparison fields: 5 of 25
  • Hardware and Architecture 208
  • Computer Networks and Communications 172
  • Signal Processing 47
  • Computational Theory and Mathematics 39
  • Computer Vision and Pattern Recognition 28
Replace Daniel Chillet with:
Daniel Chillet France
C.H. van Berkel Netherlands
Andrés Takach United States
Ralph Wittig United States
Muhammad Ali Shami Sweden
Paolo Zicari Italy
Scott McMillan United States
Dean N. Truong United States
K. Masselos Greece
Vito Giovanni Castellana United States
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Citations per field
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Citations per year

Countries citing papers authored by Ranjani Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Ranjani Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ranjani Narayan, 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 Ranjani Narayan Line = papers co-authored together Ranjani Narayan 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 200945
2 201524
3 200915
4 201514
5 201312
6 201411
7 201311
8 20149
9 20159
10 20099
11 20088
12 20078
13 20088
14 20098
15 20168
16 20157
17 20157
18 20147
19 20166
20 20146

About Ranjani Narayan

Ranjani Narayan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics and Signal Processing, having authored 49 papers that have together received 305 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (26 papers), Interconnection Networks and Systems (25 papers), Embedded Systems Design Techniques (23 papers), Low-power high-performance VLSI design (6 papers), Advanced Memory and Neural Computing (5 papers), Numerical Methods and Algorithms (5 papers), Digital Filter Design and Implementation (5 papers) and Video Coding and Compression Technologies (4 papers). The work is most often cited by research in Hardware and Architecture (208 citations), Computer Networks and Communications (172 citations), Signal Processing (47 citations), Computational Theory and Mathematics (39 citations) and Computer Vision and Pattern Recognition (28 citations). Ranjani Narayan has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include S. K. Nandy, Farhad Merchant, Anupam Chattopadhyay, Soumyendu Raha, Sarani Bhattacharya, Madhava Krishna, Hristo N. Nikolov, Ipsita Biswas, Gaurav Singh and V. Rajaraman. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Systems Architecture, ACM Transactions on Embedded Computing Systems, Lecture notes in computer science and Circuits Systems and Signal Processing.

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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