Carl H. Smith
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Hematology top 1%
- Genetics top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Dana AngluinMarion E. ErlandsonIrving SchulmanVirginia C. CanaleJohn CaseGertrude SternMary Allen EngleMargaret W. Hilgartner
- Topics
- Computability, Logic, AI Algorithms (49 papers)Machine Learning and Algorithms (48 papers)Hemoglobinopathies and Related Disorders (27 papers)
- Partner nations
- United StatesLatviaGermany
In The Last Decade
Carl H. Smith
133 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 947
- Hematology 745
- Genetics 711
- Computer Networks and Communications 290
Countries citing papers authored by Carl H. Smith
This map shows the geographic impact of Carl H. Smith'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 Carl H. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl H. Smith more than expected).
Fields of papers citing papers by Carl H. Smith
This network shows the impact of papers produced by Carl H. Smith. 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 Carl H. Smith. The network helps show where Carl H. Smith may publish in the future.
Co-authorship network of co-authors of Carl H. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Carl H. Smith. A scholar is included among the top collaborators of Carl H. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carl H. Smith. Carl H. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | Classification of predicates and languages | 2 |
| 7 | NFS Version 3 Design and Implementation | 148 |
| 8 | 43 | |
| 9 | Software complexity measures, programming methodologies, and the size of machines | 1 |
| 10 | 4 | |
| 11 | Blood diseases of infancy and childhood : in the tradition of C.H. Smith | 2 |
| 12 | 6 | |
| 13 | 29 | |
| 14 | 2 | |
| 15 | Cavalleria rusticana . I pagliacci | 1 |
| 16 | Studies on congenital hemolytic syndromes. II. Rates of destruction and production of erythrocytes in hereditary spherocytosis. | 4 |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 27 |
About Carl H. Smith
Carl H. Smith is a scholar working on Computational Theory and Mathematics, Hematology and Genetics, having authored 146 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (49 papers), Machine Learning and Algorithms (48 papers) and Hemoglobinopathies and Related Disorders (27 papers). The work is most often cited by research in Genetics (711 citations), Hematology (745 citations) and Computational Theory and Mathematics (947 citations). Carl H. Smith has collaborated with scholars based in United States, Latvia and Germany. Frequent co-authors include Dana Angluin, Marion E. Erlandson, Irving Schulman, Virginia C. Canale, John Case, Gertrude Stern, Mary Allen Engle, Margaret W. Hilgartner, Rūsiņš Freivalds and John C. Cherniavsky. Their work appears in journals such as New England Journal of Medicine, Circulation and Blood.
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.