Scott Wills

504 total citations
30 papers, 282 citations indexed

About

Scott Wills is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Scott Wills has authored 30 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 6 papers in Hardware and Architecture. Recurrent topics in Scott Wills's work include Video Surveillance and Tracking Methods (11 papers), Advanced Vision and Imaging (7 papers) and Image Enhancement Techniques (7 papers). Scott Wills is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Advanced Vision and Imaging (7 papers) and Image Enhancement Techniques (7 papers). Scott Wills collaborates with scholars based in United States, Italy and China. Scott Wills's co-authors include Waldemar Horwat, Andrew A. Chien, Soha Hassoun, Tarek M. Taha, Linda Clare, Willaim J. Dally, Ling Chao, Antonio Gentile, Shoaib Azmat and Elias N. Glytsis and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Computers and Polymer Degradation and Stability.

In The Last Decade

Scott Wills

28 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Wills United States	9	141	138	72	65	18	30	282
Cécile Belleudy France	7	76 0.5×	69 0.5×	84 1.2×	16 0.2×	12 0.7×	27	185
Denis Dutoit France	10	191 1.4×	204 1.5×	197 2.7×	18 0.3×	22 1.2×	19	348
Matheus Cavalcante Switzerland	10	107 0.8×	99 0.7×	197 2.7×	16 0.2×	28 1.6×	34	302
Saud Wasly Saudi Arabia	11	172 1.2×	147 1.1×	72 1.0×	9 0.1×	17 0.9×	25	294
Chien-Chin Huang Taiwan	6	57 0.4×	55 0.4×	57 0.8×	82 1.3×	85 4.7×	8	226
Hyeonsu Kim South Korea	7	93 0.7×	100 0.7×	166 2.3×	35 0.5×	35 1.9×	35	290
Sean White United States	6	193 1.4×	179 1.3×	166 2.3×	10 0.2×	24 1.3×	13	321
Junli Gu China	8	216 1.5×	187 1.4×	96 1.3×	48 0.7×	31 1.7×	14	294
Mateusz Majer Germany	9	248 1.8×	213 1.5×	104 1.4×	12 0.2×	14 0.8×	20	297
Debendra Das Sharma United States	13	256 1.8×	287 2.1×	164 2.3×	12 0.2×	36 2.0×	36	448

Countries citing papers authored by Scott Wills

Since Specialization

Citations

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

Fields of papers citing papers by Scott Wills

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Wills

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

All Works

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20 of 20 papers shown

Wills, Scott, Bronwyn Ormsby, Melinda H. Keefe, & Robert L. Sammler. (2022). Key characterization efforts to support the graffiti ink removal and care of Mark Rothko’s painting ‘Black on Maroon’ 1958. Heritage Science. 10(1). 4 indexed citations

Shen, Sensen, et al.. (2021). Quantitative Analysis of Azodicarbonamide in Insulation Layers of Extruded Cables by HPLC–UV Detection. Journal of Analysis and Testing. 5(4). 370–378. 6 indexed citations

Grand, Caroline, Jeffrey M. Cogen, & Scott Wills. (2021). Stability of phenolic antioxidants in the presence of sulfonic acid: Model compound studies for moisture-crosslinked polyethylene. Polymer Degradation and Stability. 194. 109746–109746. 1 indexed citations

Eryazici, Ibrahim, et al.. (2020). Gas-Generating Polymer Particles: Reducing the Decomposition Temperature of Poly(tert-Butyl Methacrylate) Side Chains Using an Encapsulated Acid Catalyst Approach. ACS Applied Polymer Materials. 2(11). 5179–5187. 2 indexed citations

Bollapragada, Srinivas, et al.. (2018). A Novel Movement Planner System for Dispatching Trains. INFORMS Journal on Applied Analytics. 48(1). 57–69. 11 indexed citations

Azmat, Shoaib, Linda Clare, & Scott Wills. (2016). Parallelizing Multimodal Background Modeling on a Low-Power Integrated GPU. Journal of Signal Processing Systems. 88(1). 43–53. 5 indexed citations

Wills, Scott, et al.. (2015). Yield improvement through improved uniformity via application of multi-zone polish head for STI-CMP. 1–3. 1 indexed citations

Azmat, Shoaib, Linda Clare, & Scott Wills. (2014). Spatio-temporal multimodal mean. 35. 81–84. 3 indexed citations

Azmat, Shoaib, et al.. (2012). PathMark: A Novel Fast Lane Detection Algorithm for Embedded Systems. 68–73. 2 indexed citations

10.

Choi, Jee, et al.. (2008). Bypassing BigBackground: An efficient hybrid background modeling algorithm for embedded video surveillance. 1–8. 1 indexed citations

11.

Wills, Scott, et al.. (2007). Midground object detection in real world video scenes. Nova Science Publishers (Nova Science Publishers, Inc.). 5308. 517–522. 8 indexed citations

12.

Gentile, Antonio, et al.. (2004). The impact of grain size on the efficiency of embedded SIMD image processing architectures. Journal of Parallel and Distributed Computing. 64(11). 1318–1327. 8 indexed citations

13.

Wills, Scott, et al.. (2003). Estimating potential parallelism for platform retargeting. 30. 55–64. 5 indexed citations

14.

Townley, Lloyd R., et al.. (2000). Hydrological capture zones of wetlands. 969. 1 indexed citations

15.

Jung, Sungyong, et al.. (2000). <title>Hybrid optically interconnected microprocessor: an InP I-MSM integrated onto a mixed-signal CMOS analog optical receiver with a digital CMOS microprocessor</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4089. 708–714. 3 indexed citations

16.

Wills, Scott, et al.. (2000). Yield Enhancement Study: Process Variation and Design Margins Leading to Timing Issues in the RAM. Proceedings - International Symposium for Testing and Failure Analysis. 30842. 77–79. 2 indexed citations

17.

Eble, J.C., et al.. (1999). Exploring microprocessor architectures for gigascale integration. 242–255. 5 indexed citations

18.

Wills, Scott, et al.. (1996). A single-fiber bidirectional optical link using colocated emitters and detectors. IEEE Photonics Technology Letters. 8(10). 1385–1387. 12 indexed citations

19.

Bella, E.V.R. Di, et al.. (1995). Parallelized formulation of the maximum likelihood-expectation maximization algorithm for fine-grain message-passing architectures. IEEE Transactions on Medical Imaging. 14(4). 758–762. 13 indexed citations

20.

Dally, Willaim J., Ling Chao, Andrew A. Chien, et al.. (1987). Architecture of a message-driven processor. 189–196. 78 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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