J. Cranshaw
- Computer Networks and Communications top 10%
- Information Systems and Management top 10%
- Nuclear and High Energy Physics
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- D. MalonJ. HřivnáčH. McGloneMarcin NowakD. BarberisE. J. GallasS. González de la HozA. Favareto
- Topics
- Distributed and Parallel Computing Systems (15 papers)Advanced Data Storage Technologies (14 papers)Particle Detector Development and Performance (7 papers)
- Cited by
- Information Systems and ManagementComputer Networks and CommunicationsNuclear and High Energy Physics
- Journals
- Journal of Physics Conference SeriesNuclear and Particle Physics ProceedingsCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
J. Cranshaw
17 papers receiving 106 citations
Peers
Comparison fields: 5 of 6
- Computer Networks and Communications 109
- Information Systems and Management 55
- Nuclear and High Energy Physics 54
- Information Systems 11
- Computer Vision and Pattern Recognition 2
Countries citing papers authored by J. Cranshaw
This map shows the geographic impact of J. Cranshaw'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 J. Cranshaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Cranshaw more than expected).
Fields of papers citing papers by J. Cranshaw
This network shows the impact of papers produced by J. Cranshaw. 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 J. Cranshaw. The network helps show where J. Cranshaw may publish in the future.
Co-authorship network of co-authors of J. Cranshaw
This figure shows the co-authorship network connecting the top 25 collaborators of J. Cranshaw. A scholar is included among the top collaborators of J. Cranshaw 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 J. Cranshaw. J. Cranshaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | QuerySpaces on Hadoop for the ATLAS EventIndex | 1 |
| 3 | 21 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 11 |
About J. Cranshaw
J. Cranshaw is a scholar working on Information Systems and Management, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 17 papers that have together received 111 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (15 papers), Advanced Data Storage Technologies (14 papers) and Particle Detector Development and Performance (7 papers). The work is most often cited by research in Information Systems and Management (55 citations), Computer Networks and Communications (109 citations) and Nuclear and High Energy Physics (54 citations). J. Cranshaw has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include D. Malon, J. Hřivnáč, D. Malon, H. McGlone, Marcin Nowak, D. Barberis, E. J. Gallas, S. González de la Hoz, A. Favareto and F. Prokoshin. Their work appears in journals such as Journal of Physics Conference Series, Nuclear and Particle Physics Proceedings and CERN Document Server (European Organization for Nuclear Research).
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.