Ints Mednieks
Impact in
-
- Remote Sensing and LiDAR Applications
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
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- Remote-Sensing Image Classification 10
- Advanced Image Fusion Techniques 4
- Ecology 10
- Remote Sensing in Agriculture 10
- Journals
- Remote Sensing (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)International Journal of Remote Sensing (1 paper)Elektronika ir Elektrotechnika (7 papers)Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences (1 paper)
- Partner nations
- Latvia
In The Last Decade
Ints Mednieks
19 papers receiving 95 citations
Peers
Comparison fields: 5 of 34
- Environmental Engineering 52
- Media Technology 31
- Geology 13
- Ecology 51
- Ecological Modeling 7
Countries citing papers authored by Ints Mednieks
This map shows the geographic impact of Ints Mednieks'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 Ints Mednieks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ints Mednieks more than expected).
Fields of papers citing papers by Ints Mednieks
This network shows the impact of papers produced by Ints Mednieks. 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 Ints Mednieks. The network helps show where Ints Mednieks may publish in the future.
Co-authors
The 2 scholars most cited alongside Ints Mednieks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 47 | |
| 2 | 2018 | 10 | |
| 3 | 2014 | 5 | |
| 4 | Automatic Identification of Individual Tree Crowns in Mixed Forests Using Fusion of LIDAR and Multispectral Data | 2013 | 4 |
| 5 | 2009 | 4 | |
| 6 | 2011 | 4 | |
| 7 | 2011 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2020 | 2 | |
| 10 | 2012 | 2 | |
| 11 | 2008 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2011 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2009 | 0 |
About Ints Mednieks
Ints Mednieks is a scholar working on Media Technology, Ecology, Environmental Engineering, Atmospheric Science and Aerospace Engineering, having authored 20 papers that have together received 97 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (7 papers), Remote Sensing and Land Use (4 papers), Advanced Image Fusion Techniques (4 papers), Infrared Target Detection Methodologies (2 papers), Land Use and Ecosystem Services (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Environmental Engineering (52 citations), Media Technology (31 citations), Geology (13 citations), Ecology (51 citations) and Ecological Modeling (7 citations). Ints Mednieks has collaborated with scholars based in Latvia. Frequent co-authors include Juris Zariņš and Dainis Jakovels. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Remote Sensing, Elektronika ir Elektrotechnika and Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences.
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.