Matthew Kowal

1.3k total citations
28 papers, 1.1k citations indexed

About

Matthew Kowal is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Matthew Kowal has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Materials Chemistry and 9 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Matthew Kowal's work include Supercapacitor Materials and Fabrication (9 papers), Graphene research and applications (8 papers) and Advanced Neural Network Applications (7 papers). Matthew Kowal is often cited by papers focused on Supercapacitor Materials and Fabrication (9 papers), Graphene research and applications (8 papers) and Advanced Neural Network Applications (7 papers). Matthew Kowal collaborates with scholars based in United States, Canada and Egypt. Matthew Kowal's co-authors include Richard B. Kaner, Maher F. El‐Kady, Volker Strauß, Kris Marsh, Jee Youn Hwang, Mengping Li, Cheng‐Wei Lin, Mackenzie Anderson, Xu Han and John Hedley and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Nano.

In The Last Decade

Matthew Kowal

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Kowal United States 15 626 573 386 269 213 28 1.1k
Zhong Wen China 15 894 1.4× 864 1.5× 419 1.1× 196 0.7× 159 0.7× 35 1.3k
Hongwei Zhang China 26 903 1.4× 1.6k 2.8× 516 1.3× 92 0.3× 107 0.5× 54 2.0k
S. A. Al‐Ghamdi Saudi Arabia 21 253 0.4× 433 0.8× 556 1.4× 291 1.1× 306 1.4× 94 1.2k
Huinan Guo China 22 932 1.5× 1.1k 1.8× 568 1.5× 127 0.5× 217 1.0× 56 1.6k
Shen Wang China 19 635 1.0× 749 1.3× 317 0.8× 171 0.6× 522 2.5× 44 1.2k
Shuai Kang China 19 314 0.5× 869 1.5× 457 1.2× 81 0.3× 145 0.7× 78 1.4k
Runlan Zhang China 19 405 0.6× 405 0.7× 392 1.0× 178 0.7× 534 2.5× 55 997
Byungchul Jang South Korea 13 489 0.8× 862 1.5× 460 1.2× 159 0.6× 65 0.3× 20 1.2k

Countries citing papers authored by Matthew Kowal

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Kowal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Kowal

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

All Works

20 of 20 papers shown
1.
Kowal, Matthew, Mennatullah Siam, Md Amirul Islam, et al.. (2024). Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 190–205. 1 indexed citations
2.
Kowal, Matthew, Eduardo Espinoza, Gustavo A. Domínguez, et al.. (2024). Ecotoxicological Assessment of Microplastics and Cellulose Particles in the Galápagos Islands and Galápagos Penguin Food Web. Environmental Toxicology and Chemistry. 43(6). 1442–1457. 3 indexed citations
3.
Islam, Md Amirul, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, & Neil D. B. Bruce. (2024). Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. International Journal of Computer Vision. 132(9). 3889–3910. 13 indexed citations
4.
Kowal, Matthew, Richard P. Wildes, & Konstantinos G. Derpanis. (2024). Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. 10895–10905. 2 indexed citations
5.
Kowal, Matthew, Achal Dave, Rareş Ambruş, et al.. (2024). Understanding Video Transformers via Universal Concept Discovery. 10946–10956. 1 indexed citations
6.
Kowal, Matthew, et al.. (2024). Electrophoretic Deposition Interferometric Scattering Mass Photometry. ACS Nano. 18(15). 10388–10396. 1 indexed citations
7.
Islam, Md Amirul, Matthew Kowal, Konstantinos G. Derpanis, & Neil D. B. Bruce. (2022). SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. International Journal of Computer Vision. 131(3). 701–716. 4 indexed citations
8.
Islam, Md Amirul, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, & Neil D. B. Bruce. (2021). Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 773–781. 18 indexed citations
9.
Borenstein, Arie, Volker Strauß, Matthew Kowal, Mackenzie Anderson, & Richard B. Kaner. (2019). Carbon Nanodots: Laser‐Assisted Lattice Recovery of Graphene by Carbon Nanodot Incorporation (Small 52/2019). Small. 15(52). 1 indexed citations
10.
El‐Kady, Maher F., et al.. (2019). Graphene/oligoaniline based supercapacitors: Towards conducting polymer materials with high rate charge storage. Energy storage materials. 19. 137–147. 45 indexed citations
11.
Strauß, Volker, et al.. (2019). Patching laser-reduced graphene oxide with carbon nanodots. Nanoscale. 11(26). 12712–12719. 25 indexed citations
12.
Strauß, Volker, Kris Marsh, Matthew Kowal, Maher F. El‐Kady, & Richard B. Kaner. (2018). A Simple Route to Porous Graphene from Carbon Nanodots for Supercapacitor Applications. Advanced Materials. 30(8). 338 indexed citations
13.
Borenstein, Arie, Volker Strauß, Matthew Kowal, et al.. (2018). Laser-reduced graphene-oxide/ferrocene: a 3-D redox-active composite for supercapacitor electrodes. Journal of Materials Chemistry A. 6(41). 20463–20472. 45 indexed citations
14.
Rizvi, Reza, Emily P. Nguyen, Matthew Kowal, et al.. (2018). High‐Throughput Continuous Production of Shear‐Exfoliated 2D Layered Materials using Compressible Flows. Advanced Materials. 30(30). e1800200–e1800200. 56 indexed citations
15.
Li, Mengping, Maher F. El‐Kady, Jee Youn Hwang, et al.. (2017). Embedding hollow Co3O4 nanoboxes into a three-dimensional macroporous graphene framework for high-performance energy storage devices. Nano Research. 11(5). 2836–2846. 34 indexed citations
16.
Hwang, Jee Youn, Maher F. El‐Kady, Mengping Li, et al.. (2017). Boosting the capacitance and voltage of aqueous supercapacitors via redox charge contribution from both electrode and electrolyte. Nano Today. 15. 15–25. 131 indexed citations
17.
El‐Kady, Maher F., Sergey Dubin, Jee Youn Hwang, et al.. (2015). Flash Converted Graphene for Ultra‐High Power Supercapacitors. Advanced Energy Materials. 5(18). 91 indexed citations
18.
Hedley, John, et al.. (2014). Laser-scribed graphene presents an opportunity to print a new generation of disposable electrochemical sensors. Nanoscale. 6(22). 13613–13622. 101 indexed citations
19.
Alexandrova, Anastassia N., et al.. (2012). Selected AB42−/− (A = C, Si, Ge; B = Al, Ga, In) ions: a battle between covalency and aromaticity, and prediction of square planar Si in SiIn42−/−. Physical Chemistry Chemical Physics. 14(43). 14815–14815. 30 indexed citations
20.

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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