Jeremy Johnson
- Hardware and Architecture top 0.5%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- B. F. CavinessDavid PaduaMarkus PüschelJared LuncefordDebora Williams‐HermanJosé M. F. MouraManuela VelosoR. W. Johnson
- Topics
- Parallel Computing and Optimization Techniques (27 papers)Numerical Methods and Algorithms (22 papers)Digital Filter Design and Implementation (18 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Jeremy Johnson
68 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Hardware and Architecture 910
- Computational Theory and Mathematics 654
- Computer Networks and Communications 515
- Signal Processing 439
- Endocrinology, Diabetes and Metabolism 378
Countries citing papers authored by Jeremy Johnson
This map shows the geographic impact of Jeremy 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 Jeremy Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy Johnson more than expected).
Fields of papers citing papers by Jeremy Johnson
This network shows the impact of papers produced by Jeremy 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 Jeremy Johnson. The network helps show where Jeremy Johnson may publish in the future.
Co-authorship network of co-authors of Jeremy Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Johnson. A scholar is included among the top collaborators of Jeremy 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 Jeremy Johnson. Jeremy 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 | 1 | |
| 2 | 4 | |
| 3 | Proceedings of the 2009 international symposium on Symbolic and algebraic computation | 18 |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 40 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | 128 | |
| 16 | 21 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 21 |
About Jeremy Johnson
Jeremy Johnson is a scholar working on Computational Mathematics, Hardware and Architecture and Computational Theory and Mathematics, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Numerical Methods and Algorithms (22 papers) and Digital Filter Design and Implementation (18 papers). The work is most often cited by research in Hardware and Architecture (910 citations), Computational Mathematics (55 citations) and Computational Theory and Mathematics (654 citations). Jeremy Johnson has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include B. F. Caviness, David Padua, Markus Püschel, Jared Lunceford, Debora Williams‐Herman, José M. F. Moura, Manuela Veloso, R. W. Johnson, Bryan Singer and Franz Franchetti. Their work appears in journals such as Diabetes Care, Proceedings of the IEEE and British Journal of Cancer.
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.