R. L. Mercer
- Nuclear and High Energy Physics top 1%
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Signal Processing top 1%
- Statistical and Nonlinear Physics top 5%
- Topics
- Speech Recognition and Synthesis (27 papers)Nuclear physics research studies (26 papers)Quantum Chromodynamics and Particle Interactions (22 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
R. L. Mercer
74 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 113
- Nuclear and High Energy Physics 1.5k
- Artificial Intelligence 1.4k
- Atomic and Molecular Physics, and Optics 827
- Signal Processing 567
- Statistical and Nonlinear Physics 215
Countries citing papers authored by R. L. Mercer
This map shows the geographic impact of R. L. Mercer'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 R. L. Mercer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. L. Mercer more than expected).
Fields of papers citing papers by R. L. Mercer
This network shows the impact of papers produced by R. L. Mercer. 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 R. L. Mercer. The network helps show where R. L. Mercer may publish in the future.
Co-authorship network of co-authors of R. L. Mercer
This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Mercer. A scholar is included among the top collaborators of R. L. Mercer 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 R. L. Mercer. R. L. Mercer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Consenso sobre el uso del sistema informàtico Perinatal (SIP) por los hospitales de la red de centros perinatales del área metropolitana de Buenos Aires (AMBA) y Sur de la Provincia de Buenos Aires.Primer Informe Epidemiológico de 2004 | 0 |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 47 | |
| 7 | 20 | |
| 8 | 34 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 41 | |
| 12 | 25 | |
| 13 | Automatic construction of acoustic markov models for words | 6 |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 207 | |
| 18 | 11 | |
| 19 | 21 | |
| 20 | 9 |
About R. L. Mercer
R. L. Mercer is a scholar working on Nuclear and High Energy Physics, Signal Processing and Artificial Intelligence, having authored 75 papers that have together received 3.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (27 papers), Nuclear physics research studies (26 papers) and Quantum Chromodynamics and Particle Interactions (22 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Signal Processing (567 citations) and Artificial Intelligence (1.4k citations). R. L. Mercer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include B. C. Clark, L.R. Bahl, S. Hama, F. Jelinek, E.D. Cooper, Peter Brown, P. de Souza, L. Ray, L. G. Arnold and Peter F. Brown. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory and Physics Letters B.
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.