Andy Stanford-Clark
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Hong‐Linh TruongUrs HunkelerJoern PloennigsJohn CohnDinesh VermaChris GibsonSeraphin CaloJamie Robinson
- Topics
- Energy Efficient Wireless Sensor Networks (2 papers)IoT and Edge/Fog Computing (1 paper)Peer-to-Peer Network Technologies (1 paper)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- IBM Journal of Research and DevelopmentePrints Soton (University of Southampton)IEEE Internet of Things Magazine
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Andy Stanford-Clark
5 papers receiving 556 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 414
- Electrical and Electronic Engineering 152
- Computer Vision and Pattern Recognition 141
- Information Systems 105
- Artificial Intelligence 88
Countries citing papers authored by Andy Stanford-Clark
This map shows the geographic impact of Andy Stanford-Clark'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 Andy Stanford-Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Stanford-Clark more than expected).
Fields of papers citing papers by Andy Stanford-Clark
This network shows the impact of papers produced by Andy Stanford-Clark. 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 Andy Stanford-Clark. The network helps show where Andy Stanford-Clark may publish in the future.
Co-authorship network of co-authors of Andy Stanford-Clark
This figure shows the co-authorship network connecting the top 25 collaborators of Andy Stanford-Clark. A scholar is included among the top collaborators of Andy Stanford-Clark 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 Andy Stanford-Clark. Andy Stanford-Clark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 11 | |
| 3 | MQTT-S — A publish/subscribe protocol for Wireless Sensor Networksbreakdown → | 541 |
| 4 | 8 | |
| 5 | Chemistry by Mobile Phone (or how to justify more time at the bar) | 0 |
| 6 | 1 |
About Andy Stanford-Clark
Andy Stanford-Clark is a scholar working on Computer Networks and Communications, Information Systems and Physical and Theoretical Chemistry, having authored 6 papers that have together received 587 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (2 papers), IoT and Edge/Fog Computing (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (414 citations), Computer Vision and Pattern Recognition (141 citations) and Information Systems (105 citations). Andy Stanford-Clark has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Hong‐Linh Truong, Urs Hunkeler, Joern Ploennigs, John Cohn, Dinesh Verma, Chris Gibson, Seraphin Calo, Jamie Robinson and Jeremy G. Frey. Their work appears in journals such as IBM Journal of Research and Development, ePrints Soton (University of Southampton) and IEEE Internet of Things Magazine.
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.