Jonathan Lawry

111 papers receiving 1.6k citations

Peers

Jonathan Lawry
Comparison fields: 5 of 115
  • Artificial Intelligence 875
  • Management Science and Operations Research 693
  • Computational Theory and Mathematics 608
  • Statistics and Probability 238
  • Information Systems 133
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Citations per year

Countries citing papers authored by Jonathan Lawry

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Lawry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Lawry

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Lawry. A scholar is included among the top collaborators of Jonathan Lawry 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 Jonathan Lawry. Jonathan Lawry 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
#WorkIndexed citations
1 3
2 1
3 1
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6
5
A formal approach to analysing requirements conformance in adaptive systems.
1
6
Proceedings of IEEE conference on sensors
6
7 37
8 5
9 1
10 37
11
IEEE International Fuzzy Systems Conference
11
12
Modelling and Reasoning with Vague Concepts (Studies in Computational Intelligence)
19
13
Soft Methods for Integrated Uncertainty Modelling (Advances in Soft Computing)
1
14
Modelling With Words: Learning, Fusion, and Reasoning Within a Formal Linguistic Representation Framework (Lecture Notes in Computer Science, 2873.)
6
15
Soft Methodology and Random Information Systems (Advances in Soft Computing)
10
16 9
17 12
18
Imprecise Probabilities of Engineering System Failure from Random and Fuzzy Set Reliability Analysis.
22
19 100
20 25

About Jonathan Lawry

Jonathan Lawry is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Artificial Intelligence, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (43 papers), Multi-Criteria Decision Making (33 papers) and Fuzzy Logic and Control Systems (28 papers). The work is most often cited by research in Management Science and Operations Research (693 citations), Computational Theory and Mathematics (608 citations) and Statistics and Probability (238 citations). Jonathan Lawry has collaborated with scholars based in United Kingdom, India and China. Frequent co-authors include Jim W. Hall, T. P. Martin, Yongchuan Tang, Zengchang Qin, Jerry M. Mendel, J.F. Baldwin, Enric Trillas, Sergio Guadarrama, Hani Hagras and Ronald R. Yager. Their work appears in journals such as Information Sciences, Climatic Change and IEEE Transactions on Fuzzy Systems.

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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