Jonathan Babb

2.5k citations
25 papers · 1.8k · 2 hit papers · h-index 17

Impact in

Papers in

Jonathan Babb

25 papers receiving 1.6k citations

Jonathan Babb's Hit Papers

Biological underpinnings for lifelong learning machines 2022 · 165 citations
1650+9+19Years since publication100200300400

Peers

Jonathan Babb
Comparison fields: 5 of 63
  • Hardware and Architecture 1.2k
  • Computer Networks and Communications 192
  • Electrical and Electronic Engineering 336
  • Artificial Intelligence 176
  • Computational Theory and Mathematics 53
Replace Sri Parameswaran with:
Sri Parameswaran Australia
Shuaiwen Leon Song United States
Eui-Young Chung South Korea
Yeseong Kim United States
Gennady G. Pekhimenko United States
Melissa C. Smith United States
Akhilesh Tyagi United States
Blaise Gassend United States
Carl Ebeling United States
Jim D. Garside United Kingdom
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Citations per field
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Sri Parameswaran · 1×
Citations per year

Countries citing papers authored by Jonathan Babb

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Babb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Babb, 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 Jonathan Babb Line = papers co-authored together Jonathan Babb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Baring it all to software: Raw machines
Hit paper breakdown →
1997477
2 2000172
3
Biological underpinnings for lifelong learning machines
Hit paper breakdown →
2022165
4 1998159
5 1997123
6 2011112
7 200290
8 201277
9 201772
10 200350
11 200247
12 201839
13 199837
14 201036
15 199627
16 199522
17 200018
18
Bitwidth Analysis with Application to Silicon Compilation
199915
19 19958
20 20028

About Jonathan Babb

Jonathan Babb is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Cancer Research, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (14 papers), Parallel Computing and Optimization Techniques (10 papers), VLSI and FPGA Design Techniques (7 papers), Interconnection Networks and Systems (2 papers), Logic, programming, and type systems (2 papers), Gene Regulatory Network Analysis (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Microfluidic and Capillary Electrophoresis Applications (1 paper). The work is most often cited by research in Hardware and Architecture (1.2k citations), Computer Networks and Communications (192 citations), Electrical and Electronic Engineering (336 citations), Artificial Intelligence (176 citations) and Computational Theory and Mathematics (53 citations). Jonathan Babb has collaborated with scholars based in United States. Frequent co-authors include Saman P. Amarasinghe, Anant K. Agarwal, Matthew I. Frank, Rajeev K. Barua, Devabhaktuni Srikrishna, Vivek Sarkar, Michael Bedford Taylor, Russell Tessier, Wing Lee and Ron Weiss. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Micro, Nature Communications, Computer and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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