Ivor Spence

54 papers receiving 435 citations

Peers

Ivor Spence
Comparison fields: 5 of 73
  • Hardware and Architecture 91
  • Computer Networks and Communications 226
  • Information Systems 193
  • Software 29
  • Artificial Intelligence 221
Replace Myungho Lee with:
Myungho Lee South Korea
Laércio Lima Pilla Brazil
Edson Borin Brazil
Martin Becker Germany
Anjali Sardana India
Deepak Narayanan United States
Teck Chaw Ling Malaysia
Shuang Zhao China
Weixing Ji China
Ivor Spence relative to Myungho Lee South Korea Myungho Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivor Spence

Since Specialization
Citations

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

Fields of papers citing papers by Ivor Spence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivor Spence, 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 Ivor Spence Line = papers co-authored together Ivor Spence links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202289
2 201770
3 201626
4 201724
5 202020
6 200620
7 202017
8 200615
9 200615
10 202312
11 19999
12 20229
13 19918
14
Towards an Automated Evaluation Process for Software Architectures
20047
15 20156
16
A Multiple Views Model for Variability Management in Software Product Lines
20086
17 20086
18
Challenges in the Application of Feature Modelling in Fixed Line Telecommunications
20075
19 20105
20 20195

About Ivor Spence

Ivor Spence is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Hardware and Architecture and Software, having authored 60 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (17 papers), Parallel Computing and Optimization Techniques (15 papers), Service-Oriented Architecture and Web Services (13 papers), Cloud Computing and Resource Management (8 papers), Model-Driven Software Engineering Techniques (8 papers), Software System Performance and Reliability (7 papers), IoT and Edge/Fog Computing (6 papers) and Software Engineering Research (6 papers). The work is most often cited by research in Hardware and Architecture (91 citations), Computer Networks and Communications (226 citations), Information Systems (193 citations), Software (29 citations) and Artificial Intelligence (221 citations). Ivor Spence has collaborated with scholars based in United Kingdom, Japan and Italy. Frequent co-authors include Peter Kilpatrick, Dimitrios S. Nikolopoulos, Cheol-Ho Hong, Blesson Varghese, Charles J. Gillan, Rehmat Ullah, Paul Harvey, Rabih Bashroush, Alexander Schuchinsky and Murali Shyamsundar. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Physics Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Communications Magazine and IEEE Internet of Things Journal.

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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