Anju P. Johnson
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Rajat Subhra ChakrabortyStephen TrimbergerJ. WongDebdeep MukhopadhyayDavid M. HallidayAndy M. TyrrellJim HarkinAlan G. Millard
- Topics
- Advanced Memory and Neural Computing (13 papers)Neuroscience and Neural Engineering (12 papers)Physical Unclonable Functions (PUFs) and Hardware Security (10 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsCellular and Molecular Neuroscience
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Anju P. Johnson
25 papers receiving 569 citations
Peers
Comparison fields: 5 of 65
- Hardware and Architecture 314
- Electrical and Electronic Engineering 294
- Computer Networks and Communications 161
- Artificial Intelligence 129
- Cellular and Molecular Neuroscience 113
Countries citing papers authored by Anju P. Johnson
This map shows the geographic impact of Anju P. Johnson'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 Anju P. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anju P. Johnson more than expected).
Fields of papers citing papers by Anju P. Johnson
This network shows the impact of papers produced by Anju P. Johnson. 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 Anju P. Johnson. The network helps show where Anju P. Johnson may publish in the future.
Co-authorship network of co-authors of Anju P. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Anju P. Johnson. A scholar is included among the top collaborators of Anju P. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anju P. Johnson. Anju P. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 32 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 37 | |
| 14 | 76 | |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 56 | |
| 18 | 12 | |
| 19 | 18 | |
| 20 | 220 |
About Anju P. Johnson
Anju P. Johnson is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 27 papers that have together received 601 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (12 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (10 papers). The work is most often cited by research in Hardware and Architecture (314 citations), Computer Networks and Communications (161 citations) and Cellular and Molecular Neuroscience (113 citations). Anju P. Johnson has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Rajat Subhra Chakraborty, Stephen Trimberger, J. Wong, Debdeep Mukhopadhyay, David M. Halliday, Andy M. Tyrrell, Jim Harkin, Alan G. Millard, Liam McDaid and Junxiu Liu. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Neural Networks and Learning Systems.
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.