S. K. Paterson
- Computer Networks and Communications top 10%
- Information Systems and Management top 5%
- Nuclear and High Energy Physics
- Information Systems
- Pharmacology
- Co-authors
- A. TsaregorodtsevN. H. BrookPh. CharpentierA C SmithR. Graciani DiazA Casajús RamoR. NandakumarJ. Closier
- Topics
- Distributed and Parallel Computing Systems (6 papers)Advanced Data Storage Technologies (5 papers)Scientific Computing and Data Management (5 papers)
- Cited by
- Information Systems and ManagementComputer Networks and CommunicationsNuclear and High Energy Physics
- Journals
- GutBritish Journal of Clinical PharmacologyJournal of Physics Conference Series
- Partner nations
- United KingdomFranceSwitzerland
In The Last Decade
S. K. Paterson
11 papers receiving 180 citations
Peers
Comparison fields: 5 of 73
- Computer Networks and Communications 120
- Information Systems and Management 66
- Nuclear and High Energy Physics 43
- Information Systems 29
- Pharmacology 15
Countries citing papers authored by S. K. Paterson
This map shows the geographic impact of S. K. Paterson'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 S. K. Paterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. K. Paterson more than expected).
Fields of papers citing papers by S. K. Paterson
This network shows the impact of papers produced by S. K. Paterson. 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 S. K. Paterson. The network helps show where S. K. Paterson may publish in the future.
Co-authorship network of co-authors of S. K. Paterson
This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Paterson. A scholar is included among the top collaborators of S. K. Paterson 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 S. K. Paterson. S. K. Paterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 10 | |
| 6 | 90 | |
| 7 | 3 | |
| 8 | 27 | |
| 9 | DIRAC, the LHCb Data Production and Distributed Analysis system | 7 |
| 10 | Dirac Infrastructure for Distributed Analysis | 1 |
| 11 | 24 |
About S. K. Paterson
S. K. Paterson is a scholar working on Information Systems and Management, Computer Networks and Communications and Gastroenterology, having authored 11 papers that have together received 198 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (5 papers) and Scientific Computing and Data Management (5 papers). The work is most often cited by research in Information Systems and Management (66 citations), Computer Networks and Communications (120 citations) and Nuclear and High Energy Physics (43 citations). S. K. Paterson has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include A. Tsaregorodtsev, N. H. Brook, Ph. Charpentier, A C Smith, R. Graciani Diaz, A Casajús Ramo, R. Nandakumar, J. Closier, R. Santinelli and G Kuznetsov. Their work appears in journals such as Gut, British Journal of Clinical Pharmacology and Journal of Physics Conference Series.
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.