Debabrata Mohapatra

23 papers receiving 1.6k citations

Hit Papers

Low-Power Digital Signal Processing Using Approximate Adders20122026201620212012100200300400500

Peers

Debabrata Mohapatra
Comparison fields: 5 of 52
  • Electrical and Electronic Engineering 1.5k
  • Hardware and Architecture 597
  • Biomedical Engineering 423
  • Computational Theory and Mathematics 193
  • Signal Processing 133
Replace Kiamal Pekmestzi with:
Kiamal Pekmestzi Greece
Vinay K. Chippa United States
R. Gonzalez United States
J.G. Delgado-Frias United States
Benjamin Grégoire France
Serge Vernalde Belgium
TingTing Hwang Taiwan
Sunggu Lee South Korea
Kaushik Ravindran United States
Kees van Berkel Netherlands
Debabrata Mohapatra relative to Kiamal Pekmestzi Greece Kiamal Pekmestzi's profile →
Citations per field
00.5×5.3×
Kiamal Pekmestzi · 1×
Citations per year

Countries citing papers authored by Debabrata Mohapatra

Since Specialization
Citations

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

Fields of papers citing papers by Debabrata Mohapatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debabrata Mohapatra

This figure shows the co-authorship network connecting the top 25 collaborators of Debabrata Mohapatra. A scholar is included among the top collaborators of Debabrata Mohapatra 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 Debabrata Mohapatra. Debabrata Mohapatra 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 0
2 0
3 5
4 75
5 14
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Low-Power Digital Signal Processing Using Approximate Addersbreakdown →
595
7 7
8 286
9 237
10 5
11 2
12 4
13 102
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Approximate computing: enabling voltage over-scaling in multimedia applications
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16 133
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19 46
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About Debabrata Mohapatra

Debabrata Mohapatra is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Finance, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (12 papers), Advanced Memory and Neural Computing (8 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (597 citations), Electrical and Electronic Engineering (1.5k citations) and Signal Processing (133 citations). Debabrata Mohapatra has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Kaushik Roy, Anand Raghunathan, Vaibhav Gupta, Sang Phill Park, Vaibhav Gupta, Georgios Karakonstantis, Vinay K. Chippa, Srimat Chakradhar, Ik‐Joon Chang and Kaushik Roy. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Journal of Selected Topics in 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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