Jonathan Lawry

112 papers receiving 1.6k citations

Peers

Jonathan Lawry
Comparison fields: 5 of 112
  • Management Science and Operations Research 692
  • Computational Theory and Mathematics 605
  • Statistics and Probability 234
  • Artificial Intelligence 874
  • Statistics, Probability and Uncertainty 117
Replace Marco Zaffalon with:
Marco Zaffalon Switzerland
Serafı́n Moral Spain
Anne-Laure Jousselme Canada
Robert Kennes Belgium
Inés Couso Spain
Fábio Gagliardi Cozman Brazil
Henri Prade France
S. Termini Italy
C. G. E. Boender Netherlands
Siegfried Gottwald Germany
Jonathan Lawry relative to Marco Zaffalon Switzerland Marco Zaffalon's profile →
Citations per field
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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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010156
2 2001101
3 200378
4 199675
5
What Computing With Words Means to Me
201072
6 200467
7 200459
8 200453
9 200852
10 200148
11 200741
12 200938
13 201437
14 200634
15 200233
16 200629
17 200727
18 199826
19 201024
20 201623

About Jonathan Lawry

Jonathan Lawry is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Information Systems and Statistics and Probability, having authored 115 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), Fuzzy Logic and Control Systems (28 papers), Bayesian Modeling and Causal Inference (14 papers), Natural Language Processing Techniques (13 papers), Data Mining Algorithms and Applications (13 papers), Fuzzy Systems and Optimization (11 papers) and Opinion Dynamics and Social Influence (8 papers). The work is most often cited by research in Management Science and Operations Research (692 citations), Computational Theory and Mathematics (605 citations), Statistics and Probability (234 citations), Artificial Intelligence (874 citations) and Statistics, Probability and Uncertainty (117 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, Jerry M. Mendel, Zengchang Qin, J.F. Baldwin, Hani Hagras, Sergio Guadarrama, Ronald R. Yager and Enric Trillas. Their work appears in journals such as International Journal of Approximate Reasoning, Fuzzy Sets and Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Artificial Intelligence and International Journal of Intelligent 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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