Alison Carter

26 papers receiving 287 citations

Peers

Alison Carter
Comparison fields: 5 of 105
  • Computer Science Applications 35
  • Applied Microbiology and Biotechnology 10
  • Molecular Medicine 18
  • Applied Psychology 16
  • Health Informatics 3
Replace D. Farrell with:
D. Farrell United Kingdom
Lisa Hansen United States
Mohammed Hassanien Saudi Arabia
Samar Ahmed Egypt
Mohammed Zolaly Saudi Arabia
Anna K. Brady United States
Brian Marsh United Kingdom
Jane Holland Ireland
Muhammad Raihan Sajid Saudi Arabia
Ayed A. Shati Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Alison Carter

Since Specialization
Citations

This map shows the geographic impact of Alison Carter'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 Alison Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Carter more than expected).

Fields of papers citing papers by Alison Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison Carter. 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 Alison Carter. The network helps show where Alison Carter may publish in the future.

Co-authors

The 25 scholars most cited alongside Alison Carter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alison Carter Line = papers co-authored together Alison Carter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200347
2 201543
3 201831
4 201827
5 202419
6 201818
7 201718
8 201814
9 202112
10 202211
11 20146
12 20146
13 20185
14 20165
15 20145
16 20135
17
Using Dynamically Reconfigurable Hardware in Real-Time Communications Systems Literature Survey
20015
18 20194
19 20004
20 20212

About Alison Carter

Alison Carter is a scholar working on Surgery, Physiology, Epidemiology, Education and Computer Science Applications, having authored 27 papers that have together received 295 indexed citations. Recurring topics across this work include E-Learning and Knowledge Management (3 papers), Biomedical Ethics and Regulation (3 papers), E-Learning and COVID-19 (2 papers), Mentoring and Academic Development (2 papers), Coaching Methods and Impact (2 papers), Tracheal and airway disorders (2 papers), Immune Response and Inflammation (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Computer Science Applications (35 citations), Applied Microbiology and Biotechnology (10 citations), Molecular Medicine (18 citations), Applied Psychology (16 citations) and Health Informatics (3 citations). Alison Carter has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David Brindley, Rosemary Ikram, Patricia Priest, Edward Meinert, Abrar Alturkistani, Jeffrey Rose, Melvyn Lynn, Richard Kao, Daniel P. Rossignol and Y. Nancy Wong. Their work appears in journals such as BMJ Open, The Journal of Clinical Pharmacology, Rejuvenation Research, Biotechnology and Bioengineering and Frontiers in Psychology.

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.

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