Mario Romero
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Safety, Risk, Reliability and Quality top 2%
- Sociology and Political Science
- Co-authors
- Gregory D. AbowdAndrew P. TarkoBrian L. FreyCaleb SouthernMichael MateasAndrea de GiorgioJohn VinesJames Clawson
- Topics
- Augmented Reality Applications (9 papers)Traffic and Road Safety (9 papers)Innovative Human-Technology Interaction (9 papers)
- Cited by
- Human-Computer InteractionSafety, Risk, Reliability and QualityHuman Factors and Ergonomics
- Journals
- IEEE AccessSensorsSustainability
- Partner nations
- United StatesSwedenSpain
In The Last Decade
Mario Romero
66 papers receiving 970 citations
Peers
Comparison fields: 5 of 124
- Human-Computer Interaction 365
- Computer Vision and Pattern Recognition 227
- Cognitive Neuroscience 209
- Safety, Risk, Reliability and Quality 170
- Sociology and Political Science 95
Countries citing papers authored by Mario Romero
This map shows the geographic impact of Mario Romero'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 Mario Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Romero more than expected).
Fields of papers citing papers by Mario Romero
This network shows the impact of papers produced by Mario Romero. 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 Mario Romero. The network helps show where Mario Romero may publish in the future.
Co-authorship network of co-authors of Mario Romero
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Romero. A scholar is included among the top collaborators of Mario Romero 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 Mario Romero. Mario Romero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 36 | |
| 12 | 24 | |
| 13 | 6 | |
| 14 | Detecting and tracking vehicles, pedestrians, and bicyclists at intersections with a stationary LiDAR | 6 |
| 15 | 19 | |
| 16 | 64 | |
| 17 | Tableau Machine: A Creative Alien Presence | 8 |
| 18 | 24 | |
| 19 | Driving Simulator Validation for Deceleration Lane Design | 1 |
| 20 | Experimental Observation of Vehicle Evolution on Deceleration Lanes with Different Lengths | 10 |
About Mario Romero
Mario Romero is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Augmented Reality Applications (9 papers), Traffic and Road Safety (9 papers) and Innovative Human-Technology Interaction (9 papers). The work is most often cited by research in Human-Computer Interaction (365 citations), Safety, Risk, Reliability and Quality (170 citations) and Human Factors and Ergonomics (38 citations). Mario Romero has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Gregory D. Abowd, Andrew P. Tarko, Brian L. Frey, Caleb Southern, Michael Mateas, Andrea de Giorgio, John Vines, James Clawson, Zachary Pousman and Heather Molyneaux. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.