Jack Wills

1.8k citations
28 papers · 1.3k · 1 hit paper · h-index 11

Impact in

Papers in

Jack Wills

27 papers receiving 1.2k citations

Jack Wills's Hit Papers

Research challenges and applications for underwater sensor networking 2006 · 759 citations
7590+6+13Years since publication250500750

Peers

Jack Wills
Comparison fields: 5 of 62
  • Ocean Engineering 824
  • Computer Networks and Communications 618
  • Water Science and Technology 212
  • Electrical and Electronic Engineering 773
  • Oceanography 149
Replace Suleman Mazhar with:
Suleman Mazhar China
O. Calvo Spain
Thomas Janssen Germany
Lurong Jiang China
Hyoung-Nam Kim South Korea
Wasim Q. Malik United Kingdom
Xuhui Huang China
Gaetano Di Caterina United Kingdom
Rongrong Lu China
Robert B. Northrop United States
Jack Wills relative to Suleman Mazhar China Suleman Mazhar's profile →
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Countries citing papers authored by Jack Wills

Since Specialization
Citations

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

Fields of papers citing papers by Jack Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Research challenges and applications for underwater sensor networking
Hit paper breakdown →
2006759
2 2006126
3 2012104
4 200596
5 200548
6 200224
7 200721
8 199015
9 200612
10 200912
11 201211
12 200410
13 20078
14 20037
15 20026
16 20036
17 20036
18
Demo Abstract: A Sensornet-inspired Underwater Acoustic Modem for Wake-up and Data ⁄
20085
19 20064
20 20034

About Jack Wills

Jack Wills is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Computer Networks and Communications, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (13 papers), Advanced Memory and Neural Computing (9 papers), Analog and Mixed-Signal Circuit Design (9 papers), Radio Frequency Integrated Circuit Design (8 papers), EEG and Brain-Computer Interfaces (7 papers), Energy Efficient Wireless Sensor Networks (5 papers), Underwater Vehicles and Communication Systems (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Ocean Engineering (824 citations), Computer Networks and Communications (618 citations), Water Science and Technology (212 citations), Electrical and Electronic Engineering (773 citations) and Oceanography (149 citations). Jack Wills has collaborated with scholars based in United States and China. Frequent co-authors include John Heidemann, Affan A. Syed, Wei Ye, Yuan Li, Wei Ye, John Granacki, Jeff LaCoss, Theodore W. Berger, Vasilis Z. Marmarelis and Dong Song. Their work appears in journals such as IEEE Pulse, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Microwave Theory and Techniques, Analog Integrated Circuits and Signal Processing and Journal of Neuroscience Methods.

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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