Jonathan Cruz

826 citations
26 papers · 490 · h-index 10

Impact in

Papers in

Jonathan Cruz

26 papers receiving 478 citations

Peers

Jonathan Cruz
Comparison fields: 5 of 47
  • Hardware and Architecture 312
  • Automotive Engineering 78
  • Electrical and Electronic Engineering 372
  • Cellular and Molecular Neuroscience 113
  • Signal Processing 36
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George Kornaros Greece
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Cruz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Cruz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Jonathan Cruz, 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 Jonathan Cruz Line = papers co-authored together Jonathan Cruz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202296
2 201889
3 201862
4 201846
5 201837
6 201925
7 202123
8 202120
9 202014
10 202310
11 20239
12 20227
13 20227
14 20226
15 20215
16 20215
17 20205
18
Learning to Seek: Deep Reinforcement Learning for Phototaxis of a Nano Drone in an Obstacle Field
20194
19 20224
20 20193

About Jonathan Cruz

Jonathan Cruz is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Cellular and Molecular Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 490 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (19 papers), Integrated Circuits and Semiconductor Failure Analysis (16 papers), Neuroscience and Neural Engineering (13 papers), Security and Verification in Computing (4 papers), Electric Vehicles and Infrastructure (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Battery Technologies Research (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Hardware and Architecture (312 citations), Automotive Engineering (78 citations), Electrical and Electronic Engineering (372 citations), Cellular and Molecular Neuroscience (113 citations) and Signal Processing (36 citations). Jonathan Cruz has collaborated with scholars based in United States, Netherlands and Saudi Arabia. Frequent co-authors include Swarup Bhunia, Prabuddha Chakraborty, Prabhat Mishra, Tamzidul Hoque, Yuanwen Huang, Robert Parker, Shuo Wang, Lili Du, Farimah Farahmandi and Vijay Janapa Reddi. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Design and Test, Scientific Reports, ACM Journal on Emerging Technologies in Computing Systems and IEEE Internet of Things Journal.

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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