Iván Mutis
- Building and Construction top 5%
- Management Science and Operations Research top 10%
- Geology top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Raja R. A. IssaChimay AnumbaDilly AnumbaJeff Z. PanCarol C. MenassaPavlo AntonenkoRenate FruchterDong‐Eun Lee
- Topics
- BIM and Construction Integration (16 papers)Semantic Web and Ontologies (10 papers)3D Surveying and Cultural Heritage (7 papers)
- Journals
- Automation in ConstructionJournal of Computing in Civil EngineeringEngineering Construction & Architectural Management
- Partner nations
- United StatesSouth Korea
In The Last Decade
Iván Mutis
28 papers receiving 303 citations
Peers
Comparison fields: 5 of 60
- Building and Construction 209
- Management Science and Operations Research 86
- Geology 65
- Artificial Intelligence 49
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Iván Mutis
This map shows the geographic impact of Iván Mutis'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 Iván Mutis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Mutis more than expected).
Fields of papers citing papers by Iván Mutis
This network shows the impact of papers produced by Iván Mutis. 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 Iván Mutis. The network helps show where Iván Mutis may publish in the future.
Co-authorship network of co-authors of Iván Mutis
This figure shows the co-authorship network connecting the top 25 collaborators of Iván Mutis. A scholar is included among the top collaborators of Iván Mutis 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 Iván Mutis. Iván Mutis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 5 | |
| 11 | 52 | |
| 12 | 24 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | Framework for semantic reconciliation of construction project information | 10 |
| 16 | 1 | |
| 17 | FLOORBOOK: A SOCIAL NETWORK SYSTEM TO ENABLE EFFECTIVE INTERFACING OF PROJECT ACTORS | 1 |
| 18 | Missing fundamental stratum of the current forms of the representation of concepts in construction | 1 |
| 19 | 2 | |
| 20 | Semantic Association of Taxonomy-based Standards Using Ontology. | 3 |
About Iván Mutis
Iván Mutis is a scholar working on Building and Construction, Geology and Management Science and Operations Research, having authored 32 papers that have together received 317 indexed citations. Recurring topics across this work include BIM and Construction Integration (16 papers), Semantic Web and Ontologies (10 papers) and 3D Surveying and Cultural Heritage (7 papers). The work is most often cited by research in Building and Construction (209 citations), Geology (65 citations) and Management Science and Operations Research (86 citations). Iván Mutis has collaborated with scholars based in United States and South Korea. Frequent co-authors include Raja R. A. Issa, Chimay Anumba, Dilly Anumba, Jeff Z. Pan, Carol C. Menassa, Pavlo Antonenko, Renate Fruchter, Dong‐Eun Lee, David Arditi and Su‐Shing Chen. Their work appears in journals such as Automation in Construction, Journal of Computing in Civil Engineering and Engineering Construction & Architectural Management.
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.