Scott Koziol

41 papers receiving 513 citations

Peers

Scott Koziol
Comparison fields: 5 of 69
  • Hardware and Architecture 60
  • Cognitive Neuroscience 116
  • Electrical and Electronic Engineering 337
  • Cellular and Molecular Neuroscience 96
  • Computer Vision and Pattern Recognition 89
Replace Syed Shakib Sarwar with:
Syed Shakib Sarwar United States
Dunshan Yu China
B. Venkataramani India
Yen‐Cheng Kuan United States
Chiu‐Sing Choy Hong Kong
Ebrahim Abiri Iran
T. Nandha Kumar Malaysia
Tobias Gemmeke Germany
Péter Szolgay Hungary
Shovan Maity United States
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Citations per field
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Syed Shakib Sarwar · 1×
Citations per year

Countries citing papers authored by Scott Koziol

Since Specialization
Citations

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

Fields of papers citing papers by Scott Koziol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201096
2 201064
3 201329
4 201429
5 201029
6 201126
7 200822
8 201819
9 201219
10 201918
11 201817
12 200714
13 201114
14 202013
15 201613
16 201611
17 201910
18 20188
19 20117
20 20136

About Scott Koziol

Scott Koziol is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Hardware and Architecture, having authored 45 papers that have together received 520 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Robotic Path Planning Algorithms (8 papers), Analog and Mixed-Signal Circuit Design (7 papers), Embedded Systems Design Techniques (6 papers), Neural dynamics and brain function (6 papers), Modular Robots and Swarm Intelligence (5 papers), Robotics and Sensor-Based Localization (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Hardware and Architecture (60 citations), Cognitive Neuroscience (116 citations), Electrical and Electronic Engineering (337 citations), Cellular and Molecular Neuroscience (96 citations) and Computer Vision and Pattern Recognition (89 citations). Scott Koziol has collaborated with scholars based in United States, Singapore and Türkiye. Frequent co-authors include P. Hasler, Stephen Brink, Shubha Ramakrishnan, Arindam Basu, Csaba Petre, Jennifer Hasler, Craig Schlottmann, Christopher M. Twigg, Stephen Nease and Suma George. Their work appears in journals such as IEEE Access, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Biomedical Circuits and Systems, IEEE Journal of Solid-State Circuits and IEEE Transactions on Nanotechnology.

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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