Rajit Manohar

9.1k citations
129 papers · 6.1k indexed · 2 hit papers · h-index 22
Topics
Low-power high-performance VLSI design (48 papers)Parallel Computing and Optimization Techniques (42 papers)Embedded Systems Design Techniques (29 papers)

In The Last Decade

Rajit Manohar

123 papers receiving 5.9k citations

Hit Papers

A million spiking-neuron integrated circuit with a scalab...20142026201820222014201550010001.5k2.0k2.5k

Peers

Rajit Manohar
Comparison fields: 5 of 112
  • Electrical and Electronic Engineering 5.4k
  • Cellular and Molecular Neuroscience 1.7k
  • Cognitive Neuroscience 1.6k
  • Artificial Intelligence 1.6k
  • Hardware and Architecture 972
Replace Steve Furber with:
Steve Furber United Kingdom
Pinaki Mazumder United States
Yusuf Leblebici Switzerland
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Rajit Manohar relative to Steve Furber United Kingdom Steve Furber's profile →
Citations per field
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Steve Furber · 1×
Citations per year

Countries citing papers authored by Rajit Manohar

Since Specialization
Citations

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

Fields of papers citing papers by Rajit Manohar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajit Manohar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajit Manohar. A scholar is included among the top collaborators of Rajit Manohar 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 Rajit Manohar. Rajit Manohar 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
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3 7
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11 17
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TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chipbreakdown →
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13 10
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17 1
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About Rajit Manohar

Rajit Manohar is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 129 papers that have together received 6.1k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (48 papers), Parallel Computing and Optimization Techniques (42 papers) and Embedded Systems Design Techniques (29 papers). The work is most often cited by research in Hardware and Architecture (972 citations), Electrical and Electronic Engineering (5.4k citations) and Cellular and Molecular Neuroscience (1.7k citations). Rajit Manohar has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Nabil Imam, Filipp Akopyan, Paul Merolla, Dharmendra S. Modha, John V. Arthur, Andrew S. Cassidy, W. P. Risk, Jun Sawada, Bryan L. Jackson and Rodrigo Alvarez-Icaza. Their work appears in journals such as Science, Proceedings of the IEEE and IEEE Transactions on Information Theory.

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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