Caspar Ryan

953 citations
28 papers · 588 · h-index 13

Impact in

Papers in

Caspar Ryan

27 papers receiving 548 citations

Peers

Caspar Ryan
Comparison fields: 5 of 54
  • Information Systems 348
  • Software 40
  • Computer Networks and Communications 205
  • Management Information Systems 64
  • Artificial Intelligence 203
Replace Philippe Lalanda with:
Philippe Lalanda France
Everton Cavalcante Brazil
Thomas Goldschmidt Germany
Aldo Dagnino United States
Nelson Souto Rosa Brazil
Janis A. Bubenko Sweden
Hongyu Pei Breivold Sweden
Romina Spalazzese Sweden
Fazal-e- Amin Saudi Arabia
Gustavo Callou Brazil
Caspar Ryan relative to Philippe Lalanda France Philippe Lalanda's profile →
Citations per field
00.5×2.8×
Philippe Lalanda · 1×
Citations per year

Countries citing papers authored by Caspar Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Caspar Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Caspar Ryan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caspar Ryan Line = papers co-authored together Caspar Ryan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 200776
3 200771
4 201055
5
The effect of context and application type on mobile usability: an empirical study
200536
6 201034
7 201225
8 200821
9 201720
10 201718
11 199217
12 201717
13 200513
14 200712
15 201112
16 20159
17 20076
18 20066
19 20065
20 20135

About Caspar Ryan

Caspar Ryan is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 28 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (13 papers), Service-Oriented Architecture and Web Services (11 papers), Distributed systems and fault tolerance (8 papers), Software Engineering Research (8 papers), Context-Aware Activity Recognition Systems (5 papers), Software System Performance and Reliability (5 papers), Smart Grid Energy Management (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Information Systems (348 citations), Software (40 citations), Computer Networks and Communications (205 citations), Management Information Systems (64 citations) and Artificial Intelligence (203 citations). Caspar Ryan has collaborated with scholars based in Australia, Germany and Qatar. Frequent co-authors include Mikhail Perepletchikov, Keith Frampton, Zahir Tari, Ermyas Abebe, Chaojie Li, Yan Xu, Tingwen Huang, Xinghuo Yu, Heinz Schmidt and Daniel Greene. Their work appears in journals such as IEEE Access, IEEE Transactions on Services Computing, IEEE Transactions on Software Engineering, Journal of Systems and Software and IEEE Transactions on Industrial Informatics.

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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