J.F. Baldwin

69 papers receiving 1.6k citations

Peers

J.F. Baldwin
Comparison fields: 5 of 109
  • Management Science and Operations Research 873
  • Statistics and Probability 317
  • Computational Theory and Mathematics 611
  • Artificial Intelligence 1.2k
  • Signal Processing 209
Replace Élie Sanchez with:
Élie Sanchez France
Bernadette Bouchon‐Meunier France
J. Yen United States
Esfandiar Eslami Iran
Daniel J. Buehrer Taiwan
Simon Coupland United Kingdom
P. Burillo Spain
Masao Mukaidono Japan
Hyung Lee-Kwang South Korea
Fuyuan Xiao China
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Citations per year

Countries citing papers authored by J.F. Baldwin

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Baldwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.F. Baldwin. 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 J.F. Baldwin. The network helps show where J.F. Baldwin may publish in the future.

Co-authors

The 18 scholars most cited alongside J.F. Baldwin, 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 J.F. Baldwin Line = papers co-authored together J.F. Baldwin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979207
2 1979145
3
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
1995139
4 1987107
5 198095
6 198090
7 198375
8 199675
9 198470
10 197961
11 198259
12 198055
13 198746
14 198742
15 197941
16 198635
17 200633
18 198032
19 198730
20 197929

About J.F. Baldwin

J.F. Baldwin is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability and Signal Processing, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (34 papers), Multi-Criteria Decision Making (33 papers), AI-based Problem Solving and Planning (19 papers), Logic, Reasoning, and Knowledge (18 papers), Rough Sets and Fuzzy Logic (14 papers), Fuzzy Systems and Optimization (9 papers), Bayesian Modeling and Causal Inference (9 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Management Science and Operations Research (873 citations), Statistics and Probability (317 citations), Computational Theory and Mathematics (611 citations), Artificial Intelligence (1.2k citations) and Signal Processing (209 citations). J.F. Baldwin has collaborated with scholars based in United Kingdom, India and France. Frequent co-authors include BW Pilsworth, N.C.F. Guild, T. P. Martin, Jonathan Lawry, Trevor Martin, David Blockley, Eulalia Szmidt, Enza Di Tomaso, Anca Ralescu and Ben Azvine. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Intelligent Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Journal of Intelligent Information Systems and Journal of Mathematical Analysis and Applications.

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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