Iván Mutis

39 papers receiving 405 citations

Peers

Iván Mutis
Comparison fields: 5 of 67
  • Building and Construction 265
  • Geology 87
  • Management Science and Operations Research 109
  • Radiological and Ultrasound Technology 35
  • Human-Computer Interaction 27
Replace Do-Yeop Lee with:
Do-Yeop Lee South Korea
David Heesom United Kingdom
James Goedert United States
Uwe Rüppel Germany
Felipe Muñoz-La Rivera Chile
Tomo Cerovšek Slovenia
Diego Calvetti Portugal
Hyunsu Lim South Korea
Yuxuan Zhang China
Nenad Čuš Babić Slovenia
Iván Mutis relative to Do-Yeop Lee South Korea Do-Yeop Lee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iván Mutis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 16 scholars most cited alongside Iván Mutis, 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 Iván Mutis Line = papers co-authored together Iván Mutis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200875
2 202061
3 200855
4 202027
5 201926
6 201817
7 201816
8 201414
9 202113
10 202112
11
Framework for semantic reconciliation of construction project information
201211
12 20189
13 20157
14 20226
15 20216
16 20186
17 20105
18 20155
19 20195
20 20094

About Iván Mutis

Iván Mutis is a scholar working on Building and Construction, Artificial Intelligence, Information Systems, Management Science and Operations Research and Management Information Systems, having authored 44 papers that have together received 425 indexed citations. Recurring topics across this work include BIM and Construction Integration (22 papers), Semantic Web and Ontologies (13 papers), Construction Project Management and Performance (10 papers), Service-Oriented Architecture and Web Services (9 papers), 3D Surveying and Cultural Heritage (8 papers), Business Process Modeling and Analysis (6 papers), Spatial Cognition and Navigation (5 papers) and Augmented Reality Applications (5 papers). The work is most often cited by research in Building and Construction (265 citations), Geology (87 citations), Management Science and Operations Research (109 citations), Radiological and Ultrasound Technology (35 citations) and Human-Computer Interaction (27 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, José L. Fernández-Solís, Pavlo Antonenko, Ian Flood, Carol C. Menassa, Renate Fruchter and Dong‐Eun Lee. Their work appears in journals such as Journal of Information Technology in Construction, Engineering Construction & Architectural Management, Automation in Construction, Construction Innovation and Computer Applications in Engineering Education.

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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