Christopher M. Poskitt

877 total citations
27 papers, 410 citations indexed

About

Christopher M. Poskitt is a scholar working on Software, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Christopher M. Poskitt has authored 27 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Software, 11 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Christopher M. Poskitt's work include Software Testing and Debugging Techniques (10 papers), Model-Driven Software Engineering Techniques (6 papers) and Formal Methods in Verification (6 papers). Christopher M. Poskitt is often cited by papers focused on Software Testing and Debugging Techniques (10 papers), Model-Driven Software Engineering Techniques (6 papers) and Formal Methods in Verification (6 papers). Christopher M. Poskitt collaborates with scholars based in Singapore, China and Switzerland. Christopher M. Poskitt's co-authors include Jun Sun, Yuqi Chen, Jun Inoue, Yoriyuki Yamagata, Detlef Plump, Yang Sun, Yang Liu, Yun Tang, Yuqi Chen and Zijiang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Software Engineering and ACM SIGPLAN Notices.

In The Last Decade

Christopher M. Poskitt

21 papers receiving 395 citations

Peers

Christopher M. Poskitt
Comparison fields: 5 of 50
  • Artificial Intelligence 250
  • Computer Networks and Communications 212
  • Control and Systems Engineering 204
  • Signal Processing 74
  • Information Systems 49
Replace Kaixing Huang with:
Kaixing Huang China
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Alie El‐Din Mady Ireland
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Citations per field, relative to Christopher M. Poskitt
Christopher M. Poskitt · 1×
Citations per year, relative to Christopher M. Poskitt
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Countries citing papers authored by Christopher M. Poskitt

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Poskitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Poskitt. 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 Christopher M. Poskitt. The network helps show where Christopher M. Poskitt may publish in the future.

Co-authorship network of co-authors of Christopher M. Poskitt

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Poskitt. A scholar is included among the top collaborators of Christopher M. Poskitt 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 Christopher M. Poskitt. Christopher M. Poskitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 2
5 0
6 1
7 31
8 0
9 4
10 3
11 4
12 8
13 7
14
Learning from mutants: Using code mutation to learn and monitor invariants of a cyber-physical system
86
15 210
16 3
17 5
18 2
19 2
20 7

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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