Simón C. Smith

9.6k citations
15 papers · 73 · h-index 5

Impact in

    • Wood Treatment and Properties
    • Sustainable Building Design and Assessment
    • Reinforcement Learning in Robotics
    • Explainable Artificial Intelligence (XAI)
    • Adversarial Robustness in Machine Learning

Papers in

Simón C. Smith

14 papers receiving 67 citations

Peers

Simón C. Smith
Comparison fields: 5 of 53
  • Building and Construction 25
  • Artificial Intelligence 24
  • Architecture 1
  • Civil and Structural Engineering 12
  • Information Systems and Management 3
Replace V Kishore Ayyadevara with:
V Kishore Ayyadevara
Zexin Sun China
Manoj Acharya United States
Keno Fischer United States
Shweta Bansal India
Jiawei Zhou China
Mushthofa Mushthofa Indonesia
Federico Pederzolli Italy
Dominique Beaini Canada
Romain Gay United States
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Citations per field
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Citations per year

Countries citing papers authored by Simón C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Simón C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simón C. Smith. 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 Simón C. Smith. The network helps show where Simón C. Smith may publish in the future.

Co-authors

The 17 scholars most cited alongside Simón C. Smith, 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 Simón C. Smith Line = papers co-authored together Simón C. Smith links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201422
2
202011
3 20227
4 20237
5 20076
6 20204
7 19884
8 20183
9 20182
10
Investigating the weighting mechanism in BREEAM Ecohomes
20082
11 20072
12 20211
13 20211
14 20171
15 20130

About Simón C. Smith

Simón C. Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Cognitive Neuroscience and Molecular Biology, having authored 15 papers that have together received 73 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Robotic Path Planning Algorithms (3 papers), Neural dynamics and brain function (3 papers), Neural Networks and Applications (2 papers), Robot Manipulation and Learning (2 papers), Single-cell and spatial transcriptomics (1 paper), Data Management and Algorithms (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Building and Construction (25 citations), Artificial Intelligence (24 citations), Architecture (1 citation), Civil and Structural Engineering (12 citations) and Information Systems and Management (3 citations). Simón C. Smith has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Michael H. Ramage, Patrick H. Fleming, Subramanian Ramamoorthy, Antoine Cully, Konstantinos Chatzilygeroudis, J. Michael Herrmann, Malcolm Horner, Bailu Si, Helen Hastie and Enrico Simetti. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, Architectural Science Review, The Journal of Imperial & Commonwealth History, Architectural Research Quarterly and Frontiers in Neurorobotics.

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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