William F. King
- Computer Networks and Communications top 1%
- Periodontics top 0.5%
- Signal Processing top 1%
- Public Health, Environmental and Occupational Health top 5%
- Artificial Intelligence top 5%
- Co-authors
- Martin A. TaubmanDaniel J. SmıthDonald D. ChamberlinDaniel J. SmithBradford W. WadeJ. W. MehlRaymond A. LorieM. M. Astrahan
- Topics
- Oral microbiology and periodontitis research (19 papers)Streptococcal Infections and Treatments (12 papers)Salivary Gland Disorders and Functions (11 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsCommunications of the ACMInfection and Immunity
- Partner nations
- United StatesBrazilJapan
In The Last Decade
William F. King
44 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Networks and Communications 1.0k
- Periodontics 713
- Signal Processing 499
- Public Health, Environmental and Occupational Health 409
- Artificial Intelligence 408
Countries citing papers authored by William F. King
This map shows the geographic impact of William F. King'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 William F. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William F. King more than expected).
Fields of papers citing papers by William F. King
This network shows the impact of papers produced by William F. King. 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 William F. King. The network helps show where William F. King may publish in the future.
Co-authorship network of co-authors of William F. King
This figure shows the co-authorship network connecting the top 25 collaborators of William F. King. A scholar is included among the top collaborators of William F. King 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 William F. King. William F. King is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 48 | |
| 3 | 40 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 76 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 42 | |
| 10 | 41 | |
| 11 | 88 | |
| 12 | 43 | |
| 13 | 34 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | 64 | |
| 17 | Relational Database Systems: Where We Stand Today. | 2 |
| 18 | 2 | |
| 19 | Analysis of Demand Paging Algorithms. | 60 |
| 20 | 1 |
About William F. King
William F. King is a scholar working on Periodontics, Microbiology and Computer Networks and Communications, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (19 papers), Streptococcal Infections and Treatments (12 papers) and Salivary Gland Disorders and Functions (11 papers). The work is most often cited by research in Periodontics (713 citations), Signal Processing (499 citations) and Computer Networks and Communications (1.0k citations). William F. King has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Martin A. Taubman, Daniel J. Smıth, Donald D. Chamberlin, Daniel J. Smith, Bradford W. Wade, J. W. Mehl, Raymond A. Lorie, M. M. Astrahan, Irving L. Traiger and Michael W. Blasgen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Communications of the ACM and Infection and Immunity.
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.