John Jose
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
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- Interconnection Networks and Systems
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
Papers in
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- Interconnection Networks and Systems 54
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- Parallel Computing and Optimization Techniques 36
- Physical Unclonable Functions (PUFs) and Hardware Security 11
- Embedded Systems Design Techniques 7
- Co-authors
- Karthik Sekaran (1 shared paper)Madhu Mutyam (8 shared papers)Abhijit Das (10 shared papers)Maurizio Palesi (16 shared papers)Sukumar Nandi (8 shared papers)Prabhat Mishra (1 shared paper)Giuseppe Ascia (6 shared papers)Davide Patti (6 shared papers)
In The Last Decade
John Jose
62 papers receiving 400 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 213
- Computer Networks and Communications 356
- Information Systems 106
- Electrical and Electronic Engineering 173
- Electronic, Optical and Magnetic Materials 55
Countries citing papers authored by John Jose
This map shows the geographic impact of John Jose'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 John Jose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Jose more than expected).
Fields of papers citing papers by John Jose
This network shows the impact of papers produced by John Jose. 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 John Jose. The network helps show where John Jose may publish in the future.
Co-authors
The 24 scholars most cited alongside John Jose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 108 | |
| 2 | 2020 | 27 | |
| 3 | 2013 | 21 | |
| 4 | 2018 | 21 | |
| 5 | 2013 | 18 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2011 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2019 | 5 |
About John Jose
John Jose is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 431 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (54 papers), Parallel Computing and Optimization Techniques (36 papers), Advanced Memory and Neural Computing (20 papers), Supercapacitor Materials and Fabrication (15 papers), Physical Unclonable Functions (PUFs) and Hardware Security (11 papers), Neuroscience and Neural Engineering (7 papers), Advancements in Battery Materials (7 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Hardware and Architecture (213 citations), Computer Networks and Communications (356 citations), Information Systems (106 citations), Electrical and Electronic Engineering (173 citations) and Electronic, Optical and Magnetic Materials (55 citations). John Jose has collaborated with scholars based in India, Italy and France. Frequent co-authors include Karthik Sekaran, Madhu Mutyam, Abhijit Das, Maurizio Palesi, Sukumar Nandi, Prabhat Mishra, Giuseppe Ascia, Davide Patti, Salvatore Monteleone and Vincenzo Catania. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Design and Test, Electronic Government an International Journal, Journal of Parallel and Distributed Computing and IEEE Consumer Electronics Magazine.
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.