Nathan Ickes

1.6k citations
20 papers · 1.2k · 1 hit paper · h-index 14

Impact in

Papers in

Nathan Ickes

20 papers receiving 1.0k citations

Nathan Ickes's Hit Papers

Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks 2001 · 681 citations
6810+8+16Years since publication200400600

Peers

Nathan Ickes
Comparison fields: 5 of 58
  • Computer Networks and Communications 835
  • Hardware and Architecture 90
  • Electrical and Electronic Engineering 754
  • Computer Vision and Pattern Recognition 78
  • Biomedical Engineering 155
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Countries citing papers authored by Nathan Ickes

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Ickes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Hit paper breakdown →
2001681
2 2002159
3 201147
4 201127
5 200826
6 201525
7 201124
8 200323
9 200421
10 201619
11 201519
12 201514
13 201414
14
A +10dBm 2.4GHz Transmitter with sub-400pW Leakage and 43.7% System Efficiency
201514
15 201611
16 201311
17 20136
18 20156
19
Micropower wireless sensors
20065
20
Reconfigurable Processor for Energy-Efficient Computational Photography
20132

About Nathan Ickes

Nathan Ickes is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (6 papers), Radio Frequency Integrated Circuit Design (5 papers), Energy Harvesting in Wireless Networks (5 papers), Embedded Systems Design Techniques (4 papers), CCD and CMOS Imaging Sensors (4 papers), Advanced Vision and Imaging (4 papers), Analog and Mixed-Signal Circuit Design (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (835 citations), Hardware and Architecture (90 citations), Electrical and Electronic Engineering (754 citations), Computer Vision and Pattern Recognition (78 citations) and Biomedical Engineering (155 citations). Nathan Ickes has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Anantha P. Chandrakasan, Rex Min, Eugene Shih, SeongHwan Cho, Alice Wang, Amit Sinha, Arun Paidimarri, Abhishek Sinha, Manish Bhardwaj and Daniel Finchelstein. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Wireless Communications, ACS Applied Materials & Interfaces and DSpace@MIT (Massachusetts Institute of Technology).

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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