Narges Mahyar
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Sociology and Political Science top 10%
- Artificial Intelligence
- Building and Construction top 10%
- Co-authors
- Melanie ToryMahmood JasimSheryl Staub‐FrenchSteven P. DowSung-Hee KimBum Chul KwonMichael R. JamesEvan M. Peck
- Topics
- Data Visualization and Analytics (11 papers)Innovative Human-Technology Interaction (7 papers)Mobile Crowdsensing and Crowdsourcing (6 papers)
- Cited by
- Human-Computer InteractionComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- Automation in ConstructionIEEE Transactions on Visualization and Computer GraphicsComputer Graphics Forum
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Narges Mahyar
35 papers receiving 519 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 207
- Human-Computer Interaction 119
- Sociology and Political Science 116
- Artificial Intelligence 90
- Building and Construction 73
Countries citing papers authored by Narges Mahyar
This map shows the geographic impact of Narges Mahyar'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 Narges Mahyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narges Mahyar more than expected).
Fields of papers citing papers by Narges Mahyar
This network shows the impact of papers produced by Narges Mahyar. 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 Narges Mahyar. The network helps show where Narges Mahyar may publish in the future.
Co-authorship network of co-authors of Narges Mahyar
This figure shows the co-authorship network connecting the top 25 collaborators of Narges Mahyar. A scholar is included among the top collaborators of Narges Mahyar 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 Narges Mahyar. Narges Mahyar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 10 | |
| 10 | 16 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | Beyond the clash: investigating BIM-based building design coordination issue representation and resolution | 36 |
| 14 | 32 | |
| 15 | 43 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 22 | |
| 19 | On two desiderata for creativity support tools | 5 |
| 20 | 9 |
About Narges Mahyar
Narges Mahyar is a scholar working on Human-Computer Interaction, Computer Science Applications and Communication, having authored 35 papers that have together received 528 indexed citations. Recurring topics across this work include Data Visualization and Analytics (11 papers), Innovative Human-Technology Interaction (7 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). The work is most often cited by research in Human-Computer Interaction (119 citations), Computer Science Applications (65 citations) and Computer Vision and Pattern Recognition (207 citations). Narges Mahyar has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Melanie Tory, Mahmood Jasim, Sheryl Staub‐French, Steven P. Dow, Sung-Hee Kim, Bum Chul Kwon, Michael R. James, Evan M. Peck, Amy X. Zhang and Cindy Xiong. Their work appears in journals such as Automation in Construction, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.