Jack Wadden
Impact in
- Hardware and Architecture top 2%
- Network Packet Processing and Optimization
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
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- Network Packet Processing and Optimization 9
- Parallel Computing and Optimization Techniques 5
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- Genomics and Phylogenetic Studies 5
- DNA and Biological Computing 3
- Co-authors
- Kevin Skadron (13 shared papers)Mircea R. Stan (7 shared papers)Vinh Dang (4 shared papers)Sudhanva Gurumurthi (2 shared papers)Alexander Lyashevsky (2 shared papers)Vilas Sridharan (2 shared papers)David Blaauw (5 shared papers)Ke Wang (3 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Smart Materials and Structures (1 paper)Frontiers in Immunology (1 paper)Cancers (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Jack Wadden
25 papers receiving 473 citations
Peers
Comparison fields: 5 of 49
- Hardware and Architecture 251
- Software 55
- Genetics 53
- Computer Networks and Communications 112
- Artificial Intelligence 143
Countries citing papers authored by Jack Wadden
This map shows the geographic impact of Jack Wadden'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 Wadden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Wadden more than expected).
Fields of papers citing papers by Jack Wadden
This network shows the impact of papers produced by Jack Wadden. 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 Wadden. The network helps show where Jack Wadden may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Wadden, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2021 | 44 | |
| 3 | 2020 | 37 | |
| 4 | 2014 | 35 | |
| 5 | 2014 | 35 | |
| 6 | 2017 | 29 | |
| 7 | 2018 | 26 | |
| 8 | 2016 | 24 | |
| 9 | 2021 | 24 | |
| 10 | 2018 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2021 | 15 | |
| 14 | 2023 | 13 | |
| 15 | 2015 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 7 |
About Jack Wadden
Jack Wadden is a scholar working on Hardware and Architecture, Molecular Biology, Genetics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 28 papers that have together received 482 indexed citations. Recurring topics across this work include Network Packet Processing and Optimization (9 papers), Genomics and Phylogenetic Studies (5 papers), Parallel Computing and Optimization Techniques (5 papers), Glioma Diagnosis and Treatment (5 papers), Software Testing and Debugging Techniques (4 papers), Cancer Genomics and Diagnostics (4 papers), Algorithms and Data Compression (4 papers) and DNA and Biological Computing (3 papers). The work is most often cited by research in Hardware and Architecture (251 citations), Software (55 citations), Genetics (53 citations), Computer Networks and Communications (112 citations) and Artificial Intelligence (143 citations). Jack Wadden has collaborated with scholars based in United States and Canada. Frequent co-authors include Kevin Skadron, Mircea R. Stan, Vinh Dang, Sudhanva Gurumurthi, Alexander Lyashevsky, Vilas Sridharan, David Blaauw, Ke Wang, Elaheh Sadredini and Carl Koschmann. Their work appears in journals such as Clinical Cancer Research, Smart Materials and Structures, Frontiers in Immunology, Cancers and IEEE Transactions on Parallel and Distributed 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.