Max Ward
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
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- RNA and protein synthesis mechanisms 9
- RNA Research and Splicing 4
- RNA modifications and cancer 3
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- Network Security and Intrusion Detection 4
- Co-authors
- Jason K. Eshraghian (3 shared papers)Girish Dwivedi (3 shared papers)Xinxin Wang (1 shared paper)Doo Seok Jeong (1 shared paper)Gregor Lenz (1 shared paper)Mohammed Bennamoun (1 shared paper)Wei Lü (1 shared paper)Emre Neftci (1 shared paper)
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (3 papers)Journal of Graph Algorithms and Applications (2 papers)The Bryologist (1 paper)Biomedical Optics Express (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Max Ward
26 papers receiving 568 citations
Max Ward's Hit Papers
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 119
- Electrical and Electronic Engineering 266
- Artificial Intelligence 131
- Cellular and Molecular Neuroscience 60
- Molecular Biology 133
Countries citing papers authored by Max Ward
This map shows the geographic impact of Max Ward'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 Max Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Ward more than expected).
Fields of papers citing papers by Max Ward
This network shows the impact of papers produced by Max Ward. 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 Max Ward. The network helps show where Max Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Ward, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Training Spiking Neural Networks Using Lessons From Deep Learning Hit paper breakdown → | 2023 | 344 |
| 2 | 2022 | 43 | |
| 3 | 1960 | 25 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 22 | |
| 6 | 1954 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 1960 | 10 | |
| 12 | 1963 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 1964 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Max Ward
Max Ward is a scholar working on Molecular Biology, Computer Networks and Communications, Information Systems, Ecology, Evolution, Behavior and Systematics and Signal Processing, having authored 29 papers that have together received 598 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (4 papers), Network Security and Intrusion Detection (4 papers), Information and Cyber Security (4 papers), Advanced Malware Detection Techniques (4 papers), RNA modifications and cancer (3 papers), Botany and Plant Ecology Studies (2 papers) and Lichen and fungal ecology (2 papers). The work is most often cited by research in Cognitive Neuroscience (119 citations), Electrical and Electronic Engineering (266 citations), Artificial Intelligence (131 citations), Cellular and Molecular Neuroscience (60 citations) and Molecular Biology (133 citations). Max Ward has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Jason K. Eshraghian, Girish Dwivedi, Xinxin Wang, Doo Seok Jeong, Gregor Lenz, Mohammed Bennamoun, Wei Lü, Emre Neftci, Amitava Datta and David H. Mathews. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Journal of Graph Algorithms and Applications, The Bryologist and Biomedical Optics Express.
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.