Alexander Titterton

490 citations
4 papers · 15 indexed · h-index 3
Topics
Particle physics theoretical and experimental studies (2 papers)Black Holes and Theoretical Physics (1 paper)Photoreceptor and optogenetics research (1 paper)
Journals
SHILAP Revista de lepidopterologíaJournal of High Energy PhysicsProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Alexander Titterton

3 papers receiving 15 citations

Peers

Alexander Titterton
Comparison fields: 5 of 11
  • Nuclear and High Energy Physics 8
  • Computer Vision and Pattern Recognition 2
  • Cognitive Neuroscience 2
  • Artificial Intelligence 2
  • Electrical and Electronic Engineering 2
Replace G. Y. Tang with:
G. Y. Tang China
H. L. China
E. Vernazza France
Marco Chiusi France
Marko Jerčić Croatia
J. Barrios-Martí Italy
Swagata Mukherjee India
M. Ivanov Vietnam
T. Procter United Kingdom
A. Kaluza Germany
Alexander Titterton relative to G. Y. Tang China G. Y. Tang's profile →
Citations per field
00.5×1.5×2.5×
G. Y. Tang · 1×
Citations per year

Countries citing papers authored by Alexander Titterton

Since Specialization
Citations

This map shows the geographic impact of Alexander Titterton'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 Alexander Titterton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Titterton more than expected).

Fields of papers citing papers by Alexander Titterton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Titterton. 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 Alexander Titterton. The network helps show where Alexander Titterton may publish in the future.

Co-authorship network of co-authors of Alexander Titterton

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Titterton. A scholar is included among the top collaborators of Alexander Titterton 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 Alexander Titterton. Alexander Titterton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 2
2 0
3 5
4 8

About Alexander Titterton

Alexander Titterton is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture and Cellular and Molecular Neuroscience, having authored 4 papers that have together received 15 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (2 papers), Black Holes and Theoretical Physics (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (8 citations), Numerical Analysis (1 citation) and Cognitive Neuroscience (2 citations). Alexander Titterton has collaborated with scholars based in United Kingdom, Hong Kong and Germany. Frequent co-authors include Stefano Moretti, Ulrich Ellwanger, C. H. Shepherd-Themistocleous, H. U. Flaecher, K. Petridis, A. M. Marshall, Samuel Maddrell-Mander, L. R. Madhan Mohan, J. H. Rademacker and D. P. O’Hanlon. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Proceedings of the AAAI Conference on Artificial Intelligence.

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.

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