Matt Fuller
Impact in
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Blood transfusion and management 2
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- Advanced Database Systems and Queries 1
- Co-authors
- Nga Tran (1 shared paper)Andrew Lamb (1 shared paper)Chuck Bear (1 shared paper)Ramakrishna Varadarajan (1 shared paper)Solomon Aronson (2 shared papers)Nicole R. Guinn (2 shared papers)Krista Haines (3 shared papers)Paul E. Wischmeyer (1 shared paper)
- Journals
- Journal of Parenteral and Enteral Nutrition (1 paper)Transfusion (1 paper)Journal of Cardiothoracic and Vascular Anesthesia (1 paper)Anesthesia & Analgesia (1 paper)Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
Matt Fuller
11 papers receiving 261 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 167
- Signal Processing 63
- Information Systems 81
- Hardware and Architecture 20
- Biochemistry 15
Countries citing papers authored by Matt Fuller
This map shows the geographic impact of Matt Fuller'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 Matt Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Fuller more than expected).
Fields of papers citing papers by Matt Fuller
This network shows the impact of papers produced by Matt Fuller. 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 Matt Fuller. The network helps show where Matt Fuller may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Fuller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 190 | |
| 2 | 2021 | 24 | |
| 3 | 2022 | 19 | |
| 4 | 2020 | 14 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2018 | 1 |
About Matt Fuller
Matt Fuller is a scholar working on Biochemistry, Computer Networks and Communications, Political Science and International Relations, Nephrology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Blood transfusion and management (2 papers), Communism, Protests, Social Movements (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Data Management and Algorithms (1 paper), Historical Gender and Feminism Studies (1 paper), Advanced Database Systems and Queries (1 paper), European history and politics (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Computer Networks and Communications (167 citations), Signal Processing (63 citations), Information Systems (81 citations), Hardware and Architecture (20 citations) and Biochemistry (15 citations). Matt Fuller has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Nga Tran, Andrew Lamb, Chuck Bear, Ramakrishna Varadarajan, Solomon Aronson, Nicole R. Guinn, Krista Haines, Paul E. Wischmeyer, David G.A. Williams and Karthik Raghunathan. Their work appears in journals such as Journal of Parenteral and Enteral Nutrition, Transfusion, Journal of Cardiothoracic and Vascular Anesthesia, Anesthesia & Analgesia and Obstetrics and Gynecology.
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.