N. Campbell
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Infectious Diseases
- Parasitology top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Stephen C. BarkerY. NakajimaKiyohiro ShikanoAnna MurrellKosta Y. MumcuoğluDorian MoroP. R. BaverstockMartin S. Elphinstone
- Topics
- Speech Recognition and Synthesis (6 papers)Phonetics and Phonology Research (6 papers)Speech and Audio Processing (3 papers)
In The Last Decade
N. Campbell
15 papers receiving 250 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 108
- Signal Processing 100
- Infectious Diseases 66
- Parasitology 60
- Experimental and Cognitive Psychology 48
Countries citing papers authored by N. Campbell
This map shows the geographic impact of N. Campbell'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 N. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Campbell more than expected).
Fields of papers citing papers by N. Campbell
This network shows the impact of papers produced by N. Campbell. 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 N. Campbell. The network helps show where N. Campbell may publish in the future.
Co-authorship network of co-authors of N. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of N. Campbell. A scholar is included among the top collaborators of N. Campbell 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 N. Campbell. N. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 23 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 64 | |
| 6 | 58 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | Increased rate of gene rearrangement in the mitochondrial genomes of insects in three hemipteroid orders | 5 |
| 12 | 41 | |
| 13 | Molecular evolution of the internal transcribed spacer 2 and phylogenetic relationships among species of the tick subfamily Rhipicephalinae | 1 |
| 14 | 19 | |
| 15 | Moraic and syllable-level effects on speech timing | 8 |
| 16 | 9 |
About N. Campbell
N. Campbell is a scholar working on Experimental and Cognitive Psychology, Parasitology and Signal Processing, having authored 16 papers that have together received 280 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Phonetics and Phonology Research (6 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (100 citations), Parasitology (60 citations) and Experimental and Cognitive Psychology (48 citations). N. Campbell has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Stephen C. Barker, Y. Nakajima, Kiyohiro Shikano, Anna Murrell, Kosta Y. Mumcuoğlu, Dorian Moro, P. R. Baverstock, Martin S. Elphinstone, Harald Höge and Gérard Bailly. Their work appears in journals such as Molecular Phylogenetics and Evolution, Journal of Medical Entomology and IEEE Transactions on Audio Speech and Language Processing.
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.