JF Baldwin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems.
According to data from OpenAlex, JF Baldwin has authored 30 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in JF Baldwin's work include Fuzzy Logic and Control Systems (7 papers), Logic, programming, and type systems (4 papers) and Data Mining Algorithms and Applications (3 papers). JF Baldwin is often cited by papers focused on Fuzzy Logic and Control Systems (7 papers), Logic, programming, and type systems (4 papers) and Data Mining Algorithms and Applications (3 papers). JF Baldwin collaborates with scholars based in United Kingdom and India. JF Baldwin's co-authors include Trevor Martin, Aimilia Tzanavari, T. P. Martin, Jonathan Lawry, Jonathan Rossiter, BW Pilsworth and Enza Di Tomaso and has published in prestigious journals such as Explore Bristol Research and Bristol Research (University of Bristol).
In The Last Decade
JF Baldwin
27 papers
receiving
680 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
This map shows the geographic impact of JF 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 JF Baldwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JF Baldwin more than expected).
This network shows the impact of papers produced by JF 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 JF Baldwin. The network helps show where JF Baldwin may publish in the future.
Co-authorship network of co-authors of JF Baldwin
This figure shows the co-authorship network connecting the top 25 collaborators of JF Baldwin.
A scholar is included among the top collaborators of JF Baldwin 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 JF Baldwin. JF Baldwin 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
1.
Baldwin, JF & Enza Di Tomaso. (2002). Modified Algorithm for Fuzzy Bayesian Networks Inference. Bristol Research (University of Bristol).3 indexed citations
2.
Baldwin, JF, et al.. (2000). Implementing Fril++ for Uncertain Object-Oriented Logic Programming. Bristol Research (University of Bristol). 496–503.5 indexed citations
3.
Baldwin, JF, et al.. (1999). Knowledge-based Intelligence Techniques in Character Recognition.1 indexed citations
4.
Baldwin, JF, et al.. (1999). A Soft Computing Approach to Hand-written Numeral Recognition. Explore Bristol Research. 67–90.1 indexed citations
5.
Baldwin, JF, et al.. (1998). Fril++ - Object-based extensions to Fril. Bristol Research (University of Bristol).2 indexed citations
6.
Baldwin, JF, T. P. Martin, & Jonathan Rossiter. (1998). Recurrent fuzzy rules for belief updating. Bristol Research (University of Bristol).1 indexed citations
7.
Baldwin, JF, Jonathan Lawry, & T. P. Martin. (1998). Mass assignment-based induction of decision trees on words. 524–531.11 indexed citations
8.
Baldwin, JF, T. P. Martin, & Jonathan Rossiter. (1998). Time series modelling and prediction using fuzzy trend information. Bristol Research (University of Bristol). 499–502.6 indexed citations
9.
Baldwin, JF, et al.. (1998). Incremental learning in a Fril-based odour classifier. Explore Bristol Research.1 indexed citations
10.
Baldwin, JF & T. P. Martin. (1996). Fuzzy objects and multiple inheritance in Fril. Explore Bristol Research. 680–684.4 indexed citations
11.
Baldwin, JF, Jonathan Lawry, & T. P. Martin. (1996). Efficient algorithms for semantic unification. Bristol Research (University of Bristol). 527–532.15 indexed citations
12.
Baldwin, JF, et al.. (1996). Feature discovery for pattern recognition with evidential logic. Bristol Research (University of Bristol).1 indexed citations
13.
Baldwin, JF & T. P. Martin. (1995). A fuzzy data browser in Fril. Bristol Research (University of Bristol). 101–124.8 indexed citations
14.
Baldwin, JF & T. P. Martin. (1995). Refining knowledge from uncertain relations - a fuzzy data browser based on fuzzy object-oriented programming in Fril. Bristol Research (University of Bristol).6 indexed citations
15.
Baldwin, JF, et al.. (1994). Classification of underwater sounds using evidential logic. Explore Bristol Research.1 indexed citations
16.
Baldwin, JF, et al.. (1993). Connectionist and Symbolic Unsupervised Learning with Support Logic programming. Explore Bristol Research.2 indexed citations
17.
Baldwin, JF & Trevor Martin. (1993). The Intelligent Manual in FRIL. Bristol Research (University of Bristol). 624–630.2 indexed citations
18.
Baldwin, JF. (1993). Fuzzy Reasoning in FRIL for Fuzzy Control and other Knowledge Based Applications. Explore Bristol Research. 3. 59–81.2 indexed citations
19.
Baldwin, JF. (1992). Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties in An Introduction to Fuzzy Logic Applications in Intelligent Systems. Bristol Research (University of Bristol).4 indexed citations
20.
Baldwin, JF. (1992). An Introduction to Fuzzy Logic Applications in Intelligent Systems.1 indexed citations
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