Bruce D’Ambrosio

989 total citations
28 papers, 440 citations indexed

About

Bruce D’Ambrosio is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Bruce D’Ambrosio has authored 28 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Management Science and Operations Research. Recurrent topics in Bruce D’Ambrosio's work include Bayesian Modeling and Causal Inference (14 papers), AI-based Problem Solving and Planning (12 papers) and Manufacturing Process and Optimization (5 papers). Bruce D’Ambrosio is often cited by papers focused on Bayesian Modeling and Causal Inference (14 papers), AI-based Problem Solving and Planning (12 papers) and Manufacturing Process and Optimization (5 papers). Bruce D’Ambrosio collaborates with scholars based in United States, Belgium and Denmark. Bruce D’Ambrosio's co-authors include Zhaoyu Li, Ross D. Shachter, David G. Ullman, Robert Paasch, Eric T. Wolbrecht, Suzanne M. Mahoney, Stephanie Forrest, Anders L. Madsen, Didier Dubois and Kathryn Blackmond Laskey and has published in prestigious journals such as Risk Analysis, Telematics and Informatics and International Journal of Approximate Reasoning.

In The Last Decade

Bruce D’Ambrosio

25 papers receiving 380 citations

Peers

Bruce D’Ambrosio
Comparison fields: 5 of 65
  • Artificial Intelligence 307
  • Management Science and Operations Research 103
  • Control and Systems Engineering 63
  • Computer Networks and Communications 59
  • Signal Processing 58
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Citations per field, relative to Bruce D’Ambrosio
Bruce D’Ambrosio · 1×
Citations per year, relative to Bruce D’Ambrosio
Bruce D’Ambrosio · 1×

Countries citing papers authored by Bruce D’Ambrosio

Since Specialization
Citations

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

Fields of papers citing papers by Bruce D’Ambrosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruce D’Ambrosio. 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 Bruce D’Ambrosio. The network helps show where Bruce D’Ambrosio may publish in the future.

Co-authorship network of co-authors of Bruce D’Ambrosio

This figure shows the co-authorship network connecting the top 25 collaborators of Bruce D’Ambrosio. A scholar is included among the top collaborators of Bruce D’Ambrosio 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 Bruce D’Ambrosio. Bruce D’Ambrosio 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 1
2 2
3 10
4 20
5 0
6 0
7 15
8
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
1
9 11
10 6
11 9
12 26
13 1
14 92
15 5
16
Symbolic probabilistic inference in belief networks
76
17 5
18 9
19 1
20 32

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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