Matthew Small
Impact in
- Family Practice top 5%
- Medication Adherence and Compliance
Papers in
-
- Parallel Computing and Optimization Techniques 5
- Embedded Systems Design Techniques 1
- Co-authors
- Sarah RotzEmily DuncanIan MosbyEvan FraserMark S. ReedRozita DaraDebi BhattacharyaAnn Barrett
- Journals
- BMJ Open (1 paper)Sociologia Ruralis (1 paper)Research in Social and Administrative Pharmacy (1 paper)Journal of Oncology Pharmacy Practice (2 papers)International Journal of Parallel Programming (1 paper)
- Partner nations
- United KingdomUnited StatesPhilippines
In The Last Decade
Matthew Small
12 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Family Practice 70
- Business and International Management 26
- Geriatrics and Gerontology 49
- General Agricultural and Biological Sciences 98
- Health Information Management 19
Countries citing papers authored by Matthew Small
This map shows the geographic impact of Matthew Small'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 Matthew Small with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Small more than expected).
Fields of papers citing papers by Matthew Small
This network shows the impact of papers produced by Matthew Small. 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 Matthew Small. The network helps show where Matthew Small may publish in the future.
Co-authors
The 24 scholars most cited alongside Matthew Small, 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 | 2022 | 11 | |
| 2 | 2020 | 20 | |
| 3 | The Politics of Digital Agricultural Technologies: A Preliminary Review Hit paper breakdown → | 2019 | 279 |
| 4 | 2014 | 6 | |
| 5 | 2013 | 2 | |
| 6 | 2013 | 2 | |
| 7 | 2012 | 83 | |
| 8 | 2011 | 2 | |
| 9 | 2010 | 5 | |
| 10 | 2009 | 15 | |
| 11 | 2008 | 28 | |
| 12 | 2006 | 72 |
About Matthew Small
Matthew Small is a scholar working on Hardware and Architecture, Family Practice, Geriatrics and Gerontology, Computer Networks and Communications and Health Information Management, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Distributed systems and fault tolerance (3 papers), Interconnection Networks and Systems (2 papers), Cancer survivorship and care (2 papers), Advanced Data Storage Technologies (2 papers), Palliative Care and End-of-Life Issues (2 papers), Visual and Cognitive Learning Processes (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Family Practice (70 citations), Business and International Management (26 citations), Geriatrics and Gerontology (49 citations), General Agricultural and Biological Sciences (98 citations) and Health Information Management (19 citations). Matthew Small has collaborated with scholars based in United Kingdom, United States and Philippines. Frequent co-authors include Sarah Rotz, Emily Duncan, Ian Mosby, Evan Fraser, Mark S. Reed, Rozita Dara, Debi Bhattacharya, Ann Barrett, Richard Smith and Tom Roques. Their work appears in journals such as BMJ Open, Sociologia Ruralis, Research in Social and Administrative Pharmacy, Journal of Oncology Pharmacy Practice and International Journal of Parallel Programming.
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.