Dan Munteanu
Impact in
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- Context-Aware Activity Recognition Systems
- Advanced Neural Network Applications
Papers in
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- Remote Sensing and LiDAR Applications 2
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- Advanced Neural Network Applications 2
- Co-authors
- Dragoș Sebastian Cristea (8 shared papers)Gabriel Murariu (12 shared papers)Ștefan Mihai Petrea (5 shared papers)Lucian Constantin DINCĂ (6 shared papers)Angela‐Eliza Micu (1 shared paper)Nicu Constantin Tudose (2 shared papers)Alexandru Căpățînă (1 shared paper)Simona Moldovanu (6 shared papers)
- Journals
- Forests (4 papers)Applied Sciences (2 papers)Electronics (2 papers)Sustainability (2 papers)Sensors (2 papers)
- Partner nations
- RomaniaHungaryUnited Kingdom
In The Last Decade
Dan Munteanu
33 papers receiving 262 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 47
- Health Informatics 3
- Marketing 17
- Transportation 11
- Health Information Management 7
Countries citing papers authored by Dan Munteanu
This map shows the geographic impact of Dan Munteanu'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 Dan Munteanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Munteanu more than expected).
Fields of papers citing papers by Dan Munteanu
This network shows the impact of papers produced by Dan Munteanu. 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 Dan Munteanu. The network helps show where Dan Munteanu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Munteanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 36 | |
| 2 | 2021 | 32 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 25 | |
| 6 | 2010 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2025 | 11 | |
| 9 | 2025 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2025 | 6 | |
| 13 | 2022 | 5 | |
| 14 | Modeling fuzzy temporal criteria in database querying | 2012 | 4 |
| 15 | 2025 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Dan Munteanu
Dan Munteanu is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition, Nature and Landscape Conservation, Artificial Intelligence and Health Information Management, having authored 39 papers that have together received 271 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Forest ecology and management (2 papers), Advanced Neural Network Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Energy, Environment, Economic Growth (2 papers), Remote Sensing and LiDAR Applications (2 papers), Remote Sensing in Agriculture (2 papers) and Motivation and Self-Concept in Sports (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (47 citations), Health Informatics (3 citations), Marketing (17 citations), Transportation (11 citations) and Health Information Management (7 citations). Dan Munteanu has collaborated with scholars based in Romania, Hungary and United Kingdom. Frequent co-authors include Dragoș Sebastian Cristea, Gabriel Murariu, Ștefan Mihai Petrea, Lucian Constantin DINCĂ, Angela‐Eliza Micu, Nicu Constantin Tudose, Alexandru Căpățînă, Simona Moldovanu, Adrian Micu and Florian-Marcel Nuta. Their work appears in journals such as Forests, Applied Sciences, Electronics, Sustainability and Sensors.
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.