David Nitzan

704 citations
21 papers · 542 · h-index 8

Impact in

Papers in

David Nitzan

19 papers receiving 474 citations

Peers

David Nitzan
Comparison fields: 5 of 42
  • Instrumentation 76
  • Computer Vision and Pattern Recognition 249
  • Control and Systems Engineering 112
  • Industrial and Manufacturing Engineering 36
  • Computational Mechanics 79
Replace Linghui Yang with:
Linghui Yang China
SHUNTARO YAMAZAKI Japan
Chuanchuan Yang China
G. Gruener Switzerland
Caiwen Ma China
Fangyin Wei United States
Wen‐Yuh Jywe Taiwan
Gaochang Wu China
Andrew D. Payne New Zealand
David Nitzan relative to Linghui Yang China Linghui Yang's profile →
Citations per field
00.5×2×3×3.6×
Linghui Yang · 1×
Citations per year

Countries citing papers authored by David Nitzan

Since Specialization
Citations

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

Fields of papers citing papers by David Nitzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside David Nitzan, 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 David Nitzan Line = papers co-authored together David Nitzan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977217
2 197990
3 198883
4 198550
5
Machine intelligence research applied to industrial automation
198333
6 196515
7
Digital Magnetic Logic
19699
8 19698
9 19877
10
Flux switching in multipath cores
19615
11 19644
12 19714
13 19663
14 19683
15 19793
16 19602
17 19702
18 19571
19
Flux switching in magnetic circuits
19661
20 19671

About David Nitzan

David Nitzan is a scholar working on Electronic, Optical and Magnetic Materials, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Instrumentation, having authored 21 papers that have together received 542 indexed citations. Recurring topics across this work include Magnetic Properties and Applications (12 papers), Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (2 papers), Quantum-Dot Cellular Automata (2 papers), Magnetic properties of thin films (2 papers), Robot Manipulation and Learning (2 papers), Advanced Memory and Neural Computing (1 paper) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Instrumentation (76 citations), Computer Vision and Pattern Recognition (249 citations), Control and Systems Engineering (112 citations), Industrial and Manufacturing Engineering (36 citations) and Computational Mechanics (79 citations). David Nitzan has collaborated with scholars based in United States and Iran. Frequent co-authors include Richard O. Duda, Jan Kremers, Ronald A. Cain, Radu Horaud, John Woodroffe Hill and Hewitt D. Crane. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Applied Physics, IEEE Transactions on Nuclear Science and Proceedings of the IEEE.

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.

Explore authors with similar magnitude of impact