Jack Wills

1.8k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Jack Wills is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jack Wills has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 14 papers in Cellular and Molecular Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in Jack Wills's work include Neuroscience and Neural Engineering (13 papers), Advanced Memory and Neural Computing (9 papers) and Analog and Mixed-Signal Circuit Design (9 papers). Jack Wills is often cited by papers focused on Neuroscience and Neural Engineering (13 papers), Advanced Memory and Neural Computing (9 papers) and Analog and Mixed-Signal Circuit Design (9 papers). Jack Wills collaborates with scholars based in United States and China. Jack Wills's co-authors include John Heidemann, Affan A. Syed, Wei Ye, Yuan Li, Wei Ye, Jeff LaCoss, John Granacki, Theodore W. Berger, Vasilis Z. Marmarelis and Dong Song and has published in prestigious journals such as IEEE Transactions on Microwave Theory and Techniques, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neuroscience Methods.

In The Last Decade

Jack Wills

27 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Research challenges and applications for underwater sensor networking

2006 755 citations John Heidemann, Wei Ye et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jack Wills United States	11	820	773	618	232	226	28	1.3k
G. Enrico Santagati United States	17	156 0.2×	446 0.6×	170 0.3×	15 0.1×	80 0.4×	34	708
O. Calvo Spain	14	112 0.1×	50 0.1×	295 0.5×	144 0.6×	30 0.1×	42	606
Javier Roa Spain	15	175 0.2×	337 0.4×	80 0.1×	43 0.2×	53 0.2×	44	778
Kosai Raoof France	15	55 0.1×	372 0.5×	192 0.3×	61 0.3×	11 0.0×	75	686
Suleman Mazhar China	11	75 0.1×	75 0.1×	23 0.0×	101 0.4×	48 0.2×	41	386
Nusrat Zerin Zenia Bangladesh	7	97 0.1×	81 0.1×	112 0.2×	71 0.3×	10 0.0×	14	419
Hyoung-Nam Kim South Korea	13	28 0.0×	307 0.4×	108 0.2×	188 0.8×	49 0.2×	99	697
Xuhui Huang China	11	21 0.0×	285 0.4×	37 0.1×	246 1.1×	68 0.3×	51	561
Wasim Q. Malik United Kingdom	19	26 0.0×	820 1.1×	173 0.3×	313 1.3×	265 1.2×	74	1.2k
Sergey A. Lobov Russia	13	16 0.0×	369 0.5×	34 0.1×	338 1.5×	265 1.2×	43	712

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-authorship network of co-authors of Jack Wills

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Wills. A scholar is included among the top collaborators of Jack Wills 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 Jack Wills. Jack Wills is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Berger, Theodore W., Dong Song, Rosa H. M. Chan, et al.. (2012). Role of the Hippocampus in Memory Formation : Restorative Encoding Memory Integration Neural Device As a Cognitive Neural Prosthesis. IEEE Pulse. 3(5). 17–22. 11 indexed citations

2.

Berger, Theodore W., Dong Song, Rosa H. M. Chan, et al.. (2012). A Hippocampal Cognitive Prosthesis: Multi-Input, Multi-Output Nonlinear Modeling and VLSI Implementation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(2). 198–211. 104 indexed citations

3.

Fang, Xiang, et al.. (2008). CMOS charge-metering microstimulator for implantable prosthetic device. 4 indexed citations

4.

Syed, Affan A., et al.. (2008). Demo Abstract: A Sensornet-inspired Underwater Acoustic Modem for Wake-up and Data ⁄. 5 indexed citations

5.

Syed, Affan A., et al.. (2008). Bringing sensor networks underwater with low-power acoustic communications. 379–380. 3 indexed citations

6.

Loeb, Gerald E. & Jack Wills. (2008). General-pupose technology for a general-purpose nervous system. 340–343. 1 indexed citations

7.

Wills, Jack, et al.. (2007). A Novel Variable-Gain Micro-Power Band-Pass Auto-Zeroing CMOS Amplifier. 337–340. 8 indexed citations

8.

Fang, Xiang, et al.. (2007). Novel Charge-Metering Stimulus Amplifier for Biomimetic Implantable Prosthesis. 20 indexed citations

9.

Srinivasan, Vijay, Ashish Ahuja, Theodoros P. Zanos, et al.. (2006). VLSI Implementation of a Nonlinear Neuronal Model: A "Neural Prosthesis" to Restore Hippocampal Trisynaptic Dynamics. PubMed. 2006. 4396–4399. 12 indexed citations

10.

Wills, Jack, Wei Ye, & John Heidemann. (2006). Low-power acoustic modem for dense underwater sensor networks. 79–79. 125 indexed citations

11.

Heidemann, John, Wei Ye, Jack Wills, Affan A. Syed, & Yuan Li. (2006). Research challenges and applications for underwater sensor networking. 228–235. 755 indexed citations breakdown →

12.

Srinivasan, Vijay, Ashish Ahuja, Theodoros P. Zanos, et al.. (2006). VLSI Implementation of a Nonlinear Neuronal Model: A "Neural Prosthesis" to Restore Hippocampal Trisynaptic Dynamics. Conference proceedings. 1 indexed citations

13.

Liu, Wentai, et al.. (2005). Implantable biomimetic microelectronic systems design. IEEE Engineering in Medicine and Biology Magazine. 24(5). 66–74. 48 indexed citations

14.

Berger, Theodore W., Arvind Ahuja, Spiros H. Courellis, et al.. (2005). Restoring lost cognitive function. IEEE Engineering in Medicine and Biology Magazine. 24(5). 30–44. 96 indexed citations

15.

Gholmieh, Ghassan, Spiros H. Courellis, Angelika Dimoka, et al.. (2004). An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings. Journal of Neuroscience Methods. 136(2). 111–121. 10 indexed citations

16.

Chang, Yuyu, J. Choma, & Jack Wills. (2003). A 900 MHz active CMOS LNA with a bandpass filter. 33–36. 6 indexed citations

17.

Chang, Yuyu, J. Choma, & Jack Wills. (2003). An inductorless active notch filter for RF image rejection. 1. 166–169. 7 indexed citations

18.

Chang, Yuyu, J. Choma, & Jack Wills. (2002). The design and analysis of a RF CMOS bandpass filter. 2. 625–628. 24 indexed citations

19.

Chang, Yuyu, Jack Wills, & J. Choma. (2002). A front-end filter with automatic center frequency tuning circuitry. 32. 28–31. 1 indexed citations

20.

Chang, Yuyu, Jack Wills, & J. Choma. (2002). On-chip automatic direct tuning circuitry based on the synchronous rectification scheme for CMOS gigahertz band front-end filters. 4. 246–249. 6 indexed citations

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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