L. Carter
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
Papers in
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 3
- Peer-to-Peer Network Technologies 2
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Jeanne Ferrante (5 shared papers)Theodore P. Ciaraldi (4 shared papers)Sunder Mudaliar (4 shared papers)Robert R. Henry (4 shared papers)Gerhard Seipke (1 shared paper)Susan Flynn Hummel (1 shared paper)Henri Casanova (1 shared paper)Kang Su Gatlin (1 shared paper)
- Journals
- Metabolism (2 papers)IBM Systems Journal (1 paper)Molecular and Cellular Endocrinology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
L. Carter
11 papers receiving 240 citations
Peers
Comparison fields: 5 of 52
- Hardware and Architecture 87
- Computer Networks and Communications 109
- Endocrinology, Diabetes and Metabolism 66
- Obstetrics and Gynecology 14
- Computational Mathematics 1
Countries citing papers authored by L. Carter
This map shows the geographic impact of L. 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 L. Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Carter more than expected).
Fields of papers citing papers by L. Carter
This network shows the impact of papers produced by L. 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 L. Carter. The network helps show where L. Carter may publish in the future.
Co-authors
The 21 scholars most cited alongside L. Carter, 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 | 2001 | 84 | |
| 2 | 2002 | 34 | |
| 3 | 2009 | 32 | |
| 4 | 2004 | 30 | |
| 5 | 2003 | 18 | |
| 6 | 2002 | 12 | |
| 7 | 1995 | 11 | |
| 8 | 2006 | 10 | |
| 9 | 2000 | 8 | |
| 10 | 2005 | 8 | |
| 11 | 2001 | 6 |
About L. Carter
L. Carter is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Information Systems and Artificial Intelligence, having authored 11 papers that have together received 253 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Distributed and Parallel Computing Systems (3 papers), Cloud Computing and Resource Management (2 papers), Algorithms and Data Compression (2 papers), Peer-to-Peer Network Technologies (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Hardware and Architecture (87 citations), Computer Networks and Communications (109 citations), Endocrinology, Diabetes and Metabolism (66 citations), Obstetrics and Gynecology (14 citations) and Computational Mathematics (1 citation). L. Carter has collaborated with scholars based in United States and France. Frequent co-authors include Jeanne Ferrante, Theodore P. Ciaraldi, Sunder Mudaliar, Robert R. Henry, Gerhard Seipke, Susan Flynn Hummel, Henri Casanova, Kang Su Gatlin, Bowen Alpern and Olivier Beaumont. Their work appears in journals such as Metabolism, IBM Systems Journal, Molecular and Cellular Endocrinology and The Journal of Clinical Endocrinology & Metabolism.
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.