Michael T. Cox

3.1k citations
108 papers · 1.6k indexed · h-index 20

Impact in

Papers in

Michael T. Cox

95 papers receiving 1.4k citations

Peers

Michael T. Cox
Comparison fields: 5 of 141
  • Artificial Intelligence 787
  • Water Science and Technology 236
  • Filtration and Separation 32
  • Software 49
  • Industrial and Manufacturing Engineering 109
Replace Angelo Chianese with:
Angelo Chianese Italy
Jiaqi Wang China
Siqi Ma China
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Daniel R. Lewin Israel
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Citations per field
00.5×10×16.3×
Angelo Chianese · 1×
Citations per year

Countries citing papers authored by Michael T. Cox

Since Specialization
Citations

This map shows the geographic impact of Michael T. Cox'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 Michael T. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Cox more than expected).

Fields of papers citing papers by Michael T. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Cox. 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 Michael T. Cox. The network helps show where Michael T. Cox may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Goal Trajectories for Knowledge Investigations.
20161
2
Informed expectations to guide GDA agents in partially observable environments
20163
3
Goal-Driven Autonomy for Cognitive Systems
20145
4
Data-Driven Goal Generation for Integrated Cognitive Systems.
20135
5
POIROT: integrated learning of web service procedures
200816
6 200748
7 200711
8 20057
9
Perpetual self-aware cognitive agents.
20052
10
Planning as mixed-initiative goal manipulation
20054
11 20041
12
The Effect of Agent Topologies on Multiagent Planning Performance.
20041
13
A Distributed Planning Approach Using Multiagent Goal Transformations.
20039
14
Granada television : the first generation
20037
15
Dimensional Indexing for Targeted Case-Base Retrieval: The SMIRKS System
20023
16 20001
17
Rationale-based monitoring for planning in dynamic environments
199850
18
12 Victorian ghost stories
19971
19
Rationale-supported mixed-initiative case-based planning
199725
20
Victorian ghost stories : an Oxford anthology
199111

About Michael T. Cox

Michael T. Cox is a scholar working on Filtration and Separation, Artificial Intelligence, Software, Inorganic Chemistry and Industrial and Manufacturing Engineering, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (43 papers), Logic, Reasoning, and Knowledge (22 papers), Multi-Agent Systems and Negotiation (17 papers), Extraction and Separation Processes (16 papers), Semantic Web and Ontologies (14 papers), Radioactive element chemistry and processing (10 papers), Adsorption and biosorption for pollutant removal (8 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (787 citations), Water Science and Technology (236 citations), Filtration and Separation (32 citations), Software (49 citations) and Industrial and Manufacturing Engineering (109 citations). Michael T. Cox has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ashwin Ram, El-Said I. El-Shafey, M. Aguilar, Ramón López de Mántaras, Barry Smyth, Susan Craw, El-Said I. El-Shafey, David McSherry, David Leake and Mark T. Keane. Their work appears in journals such as Solvent Extraction and Ion Exchange, Journal of Chemical Technology & Biotechnology, Hydrometallurgy, The Knowledge Engineering Review and Artificial Intelligence.

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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