Daniel Bankman

676 citations
19 papers · 482 · h-index 10

Impact in

Papers in

Daniel Bankman

18 papers receiving 469 citations

Peers

Daniel Bankman
Comparison fields: 5 of 55
  • Electrical and Electronic Engineering 391
  • Hardware and Architecture 38
  • Computer Vision and Pattern Recognition 115
  • Artificial Intelligence 130
  • Cellular and Molecular Neuroscience 40
Replace Daisuke Miyashita with:
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Yukun Ding United States
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Daniel Bankman relative to Daisuke Miyashita Japan Daisuke Miyashita's profile →
Citations per field
00.5×1.5×
Daisuke Miyashita · 1×
Citations per year

Countries citing papers authored by Daniel Bankman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bankman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Daniel Bankman, 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 Daniel Bankman Line = papers co-authored together Daniel Bankman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2018139
2 2018118
3 201540
4 201837
5 201636
6 201827
7 201916
8 201512
9 201811
10 201910
11 20199
12 20187
13 20186
14 20184
15 20084
16 20184
17 20071
18 20061
19 20180

About Daniel Bankman

Daniel Bankman is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Aerospace Engineering, having authored 19 papers that have together received 482 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Advanced Neural Network Applications (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), CCD and CMOS Imaging Sensors (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Infrared Target Detection Methodologies (3 papers), Neural Networks and Applications (3 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (391 citations), Hardware and Architecture (38 citations), Computer Vision and Pattern Recognition (115 citations), Artificial Intelligence (130 citations) and Cellular and Molecular Neuroscience (40 citations). Daniel Bankman has collaborated with scholars based in United States and Belgium. Frequent co-authors include Boris Murmann, Marian Verhelst, Bert Moons, Lita Yang, Daisuke Miyashita, Andrew Yu, Jakob W. Messner, Rebecca Park, Subhasish Mitra and H.‐S. Philip Wong. Their work appears in journals such as IEEE Solid-State Circuits Magazine, IEEE Journal of Solid-State Circuits, Optical Engineering, Electronics Letters and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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