Anup Dandapat

976 total citations
57 papers, 637 citations indexed

About

Anup Dandapat is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering. According to data from OpenAlex, Anup Dandapat has authored 57 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 28 papers in Hardware and Architecture and 17 papers in Biomedical Engineering. Recurrent topics in Anup Dandapat's work include Low-power high-performance VLSI design (27 papers), Network Packet Processing and Optimization (23 papers) and Analog and Mixed-Signal Circuit Design (17 papers). Anup Dandapat is often cited by papers focused on Low-power high-performance VLSI design (27 papers), Network Packet Processing and Optimization (23 papers) and Analog and Mixed-Signal Circuit Design (17 papers). Anup Dandapat collaborates with scholars based in India. Anup Dandapat's co-authors include Partha Bhattacharyya, Prabir Saha, Vinay Kumar, Arindam Banerjee, Abhijit Banerjee, Deepak Kumar, Chinmoy Sarkar, Partha Sarkar, Sandip Ghosal and Debdeep Mukhopadhyay and has published in prestigious journals such as Electronics Letters, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Anup Dandapat

50 papers receiving 568 citations

Peers

Anup Dandapat
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 510
  • Computational Theory and Mathematics 227
  • Hardware and Architecture 223
  • Biomedical Engineering 185
  • Computer Networks and Communications 106
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Citations per field, relative to Anup Dandapat
Anup Dandapat · 1×
Citations per year, relative to Anup Dandapat
Anup Dandapat · 1×

Countries citing papers authored by Anup Dandapat

Since Specialization
Citations

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

Fields of papers citing papers by Anup Dandapat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Dandapat

This figure shows the co-authorship network connecting the top 25 collaborators of Anup Dandapat. A scholar is included among the top collaborators of Anup Dandapat 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 Anup Dandapat. Anup Dandapat 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
# Work Indexed citations
1 3
2 6
3
A Novel Low-Power Matchline Evaluation Technique for Content Addressable Memory (CAM).
1
4 3
5 0
6 2
7 0
8 1
9 11
10 5
11
HIGH SPEED MULTIPLIER USING HIGH ACCURACY OATING POINT LOGARITHMIC NUMBER SYSTEM
2
12 18
13 0
14 2
15 1
16
ASIC implementation of high speed processor for calculating discrete Fourier transformation using circular convolution technique
3
17 14
18 1
19
Low-power sequential circuit using single phase Adiabatic Dynamic Logic
1
20 2

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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