Jack Jean

419 citations
30 papers · 291 · h-index 10

Impact in

Papers in

Jack Jean

27 papers receiving 268 citations

Peers

Jack Jean
Comparison fields: 5 of 46
  • Hardware and Architecture 126
  • Computer Vision and Pattern Recognition 108
  • Media Technology 34
  • Computer Networks and Communications 65
  • Software 8
Replace Pablo Sánchez with:
Pablo Sánchez Spain
R. Sridhar United States
Sharad Sinha India
Maxime Pelcat France
Jerry L. Trahan United States
Piedad Brox Spain
Pawan Harish India
Vicent Sanz Marco United Kingdom
Vladimir Creţu Romania
Xiaolang Yan China
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Citations per field
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Citations per year

Countries citing papers authored by Jack Jean

Since Specialization
Citations

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

Fields of papers citing papers by Jack Jean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Jack Jean, 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 Jack Jean Line = papers co-authored together Jack Jean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199441
2 199938
3 199434
4 200127
5 199326
6 200318
7 200215
8 199614
9
Data Buffering and Allocation in Mapping Generalized Template Matching on Reconfigurable Systems.
199913
10 199610
11 19938
12 20028
13 20038
14 20025
15
Query Processing with an FPGA Coprocessor Board
20014
16 20024
17 20003
18 20052
19
A Study of Mapping Generalized Sliding Window Operations on Reconfigurable Computers.
20032
20 20022

About Jack Jean

Jack Jean is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 30 papers that have together received 291 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (17 papers), Interconnection Networks and Systems (12 papers), Parallel Computing and Optimization Techniques (7 papers), VLSI and FPGA Design Techniques (6 papers), Image and Object Detection Techniques (5 papers), CCD and CMOS Imaging Sensors (4 papers), Handwritten Text Recognition Techniques (4 papers) and Simulation Techniques and Applications (4 papers). The work is most often cited by research in Hardware and Architecture (126 citations), Computer Vision and Pattern Recognition (108 citations), Media Technology (34 citations), Computer Networks and Communications (65 citations) and Software (8 citations). Jack Jean has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Jin Wang, Karen Tomko, Ronald L. Cook, Hong Kwan Kim, Hong Kim, Sun‐Yuan Kung, Fei Wang, Yan Wang, Guozhu Dong and Dong–Sun Kim. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Sensors and IEEE Transactions on Computers.

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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