Reddy Pullanagari
Impact in
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses
- Ecology top 5%
- Remote Sensing in Agriculture
Papers in
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- Remote-Sensing Image Classification 12
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- Soil Geostatistics and Mapping 13
- Remote Sensing and LiDAR Applications 11
- Co-authors
- Ian J. YuleGábor KereszturiMo LiRobyn DynesWarren McG. KingM. J. HedleyM. P. TuohyNitin Bhatia
- Journals
- Remote Sensing (4 papers)Geothermics (3 papers)International Journal of Applied Earth Observation and Geoinformation (3 papers)Remote Sensing of Environment (2 papers)International Journal of Remote Sensing (2 papers)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Reddy Pullanagari
42 papers receiving 996 citations
Peers
Comparison fields: 5 of 93
- Analytical Chemistry 330
- Ecology 474
- Environmental Engineering 238
- Media Technology 126
- Ecological Modeling 53
Countries citing papers authored by Reddy Pullanagari
This map shows the geographic impact of Reddy Pullanagari'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 Reddy Pullanagari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reddy Pullanagari more than expected).
Fields of papers citing papers by Reddy Pullanagari
This network shows the impact of papers produced by Reddy Pullanagari. 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 Reddy Pullanagari. The network helps show where Reddy Pullanagari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Reddy Pullanagari, 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 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 88 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 35 | |
| 12 | 2018 | 115 | |
| 13 | 2018 | 54 | |
| 14 | 2018 | 5 | |
| 15 | THE CLASSIFICATION OF HILL COUNTRY VEGETATION FROM HYPERSPECTRAL IMAGERY | 2017 | 3 |
| 16 | 2015 | 3 | |
| 17 | 2014 | 40 | |
| 18 | Case studies which demonstrate the financial viability of precision dairy farming. | 2013 | 1 |
| 19 | 2011 | 29 | |
| 20 | 2011 | 102 |
About Reddy Pullanagari
Reddy Pullanagari is a scholar working on Media Technology, Environmental Engineering, Analytical Chemistry, Ecology and Ecological Modeling, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (25 papers), Soil Geostatistics and Mapping (13 papers), Spectroscopy and Chemometric Analyses (12 papers), Remote-Sensing Image Classification (12 papers), Remote Sensing and LiDAR Applications (11 papers), Geochemistry and Geologic Mapping (10 papers), Land Use and Ecosystem Services (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Analytical Chemistry (330 citations), Ecology (474 citations), Environmental Engineering (238 citations), Media Technology (126 citations) and Ecological Modeling (53 citations). Reddy Pullanagari has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Ian J. Yule, Gábor Kereszturi, Mo Li, Robyn Dynes, Warren McG. King, M. J. Hedley, M. P. Tuohy, Nitin Bhatia, Jonathan Procter and A.R. East. Their work appears in journals such as Remote Sensing, Geothermics, International Journal of Applied Earth Observation and Geoinformation, Remote Sensing of Environment and International Journal of Remote Sensing.
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.