Pawan Datta

499 total citations
19 papers, 330 citations indexed

About

Pawan Datta is a scholar working on Ecology, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Pawan Datta has authored 19 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 10 papers in Environmental Engineering and 5 papers in Nature and Landscape Conservation. Recurrent topics in Pawan Datta's work include Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Forest ecology and management (5 papers). Pawan Datta is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Remote Sensing and LiDAR Applications (7 papers) and Forest ecology and management (5 papers). Pawan Datta collaborates with scholars based in Germany, Jordan and Austria. Pawan Datta's co-authors include Matthias Dees, Barbara Koch, Helmer Schack‐Kirchner, Joanne Fitzgerald, Geerten Hengeveld, Pieter Johannes Verkerk, Sergey Zudin, Marcus Lindner, Sami Ullah and Mathias Schardt and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Forest Ecology and Management.

In The Last Decade

Pawan Datta

18 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pawan Datta Germany 10 153 128 127 70 37 19 330
Asghar Fallah Iran 11 155 1.0× 158 1.2× 151 1.2× 184 2.6× 27 0.7× 81 482
Chiara Ferré Italy 12 124 0.8× 100 0.8× 119 0.9× 92 1.3× 28 0.8× 29 493
Magdalena Śmigaj United Kingdom 11 184 1.2× 197 1.5× 107 0.8× 60 0.9× 33 0.9× 18 461
I‐Kuai Hung United States 11 194 1.3× 165 1.3× 95 0.7× 102 1.5× 32 0.9× 61 429
Stephen Mitchell United States 10 93 0.6× 126 1.0× 455 3.6× 115 1.6× 32 0.9× 13 532
Martin Jansen Germany 11 178 1.2× 54 0.4× 102 0.8× 65 0.9× 30 0.8× 23 455
Gang Shao United States 11 225 1.5× 174 1.4× 145 1.1× 134 1.9× 49 1.3× 23 433
Luigi Saulino Italy 13 61 0.4× 130 1.0× 231 1.8× 134 1.9× 33 0.9× 23 403
Edwin Willem Hermanus Keizer Brazil 5 99 0.6× 79 0.6× 248 2.0× 181 2.6× 13 0.4× 7 396
Shaban Shataee Iran 14 364 2.4× 360 2.8× 193 1.5× 230 3.3× 32 0.9× 47 608

Countries citing papers authored by Pawan Datta

Since Specialization
Citations

This map shows the geographic impact of Pawan Datta'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 Pawan Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pawan Datta more than expected).

Fields of papers citing papers by Pawan Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pawan Datta. 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 Pawan Datta. The network helps show where Pawan Datta may publish in the future.

Co-authorship network of co-authors of Pawan Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Pawan Datta. A scholar is included among the top collaborators of Pawan Datta 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 Pawan Datta. Pawan Datta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Jafari, Reza, et al.. (2021). Spatial scale effect of Sentinel-2, Landsat OLI, and MODIS imagery in the assessment of landscape condition of Zagros mountains. Geocarto International. 37(18). 5345–5362. 4 indexed citations
3.
Ibrahim, Majed, Barbara Koch, & Pawan Datta. (2021). Evaluate the effect of land surface temperature in arid and semi-arid lands using potential remote sensing data and GIS techniques. International Journal of Global Warming. 24(3/4). 342–342. 3 indexed citations
4.
Paczkowski, Sebastian, et al.. (2021). Evaluation of Early Bark Beetle Infestation Localization by Drone-Based Monoterpene Detection. Forests. 12(2). 228–228. 9 indexed citations
5.
Liu, Xiang, Huiyu Liu, Pawan Datta, Julian Frey, & Barbara Koch. (2020). Mapping an Invasive Plant Spartina alterniflora by Combining an Ensemble One-Class Classification Algorithm with a Phenological NDVI Time-Series Analysis Approach in Middle Coast of Jiangsu, China. Remote Sensing. 12(24). 4010–4010. 21 indexed citations
6.
Ibrahim, Majed, et al.. (2020). An evaluation of available digital elevation models (DEMs) for geomorphological feature analysis. Environmental Earth Sciences. 79(13). 17 indexed citations
7.
Ibrahim, Majed, Pawan Datta, & Barbara Koch. (2020). Evaluate the Effect the Land Surface Temperature in the Arid and Semi-Arid Lands Using Potential Remote Sensing Data and GIS Techniques. International Journal of Global Warming. 22(3/4). 1–1. 2 indexed citations
8.
Paczkowski, Sebastian, et al.. (2020). Early Detection of Bark Beetle Infestation by Drone-Based Monoterpene Detection. MDPI (MDPI AG). 20–20. 1 indexed citations
9.
Ullah, Sami, Matthias Dees, Pawan Datta, et al.. (2020). Comparing the potential of stereo aerial photographs, stereo very high-resolution satellite images, and TanDEM-X for estimating forest height. International Journal of Remote Sensing. 41(18). 6976–6992. 18 indexed citations
10.
Ullah, Sami, Matthias Dees, Pawan Datta, et al.. (2019). Potential of Modern Photogrammetry Versus Airborne Laser Scanning for Estimating Forest Variables in a Mountain Environment. Remote Sensing. 11(6). 661–661. 8 indexed citations
11.
Verkerk, Pieter Johannes, Joanne Fitzgerald, Pawan Datta, et al.. (2019). Spatial distribution of the potential forest biomass availability in Europe. Forest Ecosystems. 6(1). 88 indexed citations
12.
Dees, Matthias, B.S. Elbersen, John F. Fitzgerald, et al.. (2017). Atlas with regional cost supply biomass potentials for EU 28, Western Balkan countries, Moldavia, Turkey and Ukraine. Jukuri (Natural Resources Institute Finland (Luke)). 15 indexed citations
13.
Hirschmugl, Manuela, Heinz Gallaun, Matthias Dees, et al.. (2017). Review of Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data.. arXiv (Cornell University).
14.
Ullah, Sami, Matthias Dees, Pawan Datta, Petra Adler, & Barbara Koch. (2017). Comparing Airborne Laser Scanning, and Image-Based Point Clouds by Semi-Global Matching and Enhanced Automatic Terrain Extraction to Estimate Forest Timber Volume. Forests. 8(6). 215–215. 25 indexed citations
15.
Hirschmugl, Manuela, Heinz Gallaun, Matthias Dees, et al.. (2017). Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review. Current Forestry Reports. 3(1). 32–45. 66 indexed citations
16.
Dees, Matthias, B.S. Elbersen, John F. Fitzgerald, et al.. (2017). Atlas With Regional Cost Supply Biomass Potentials For Eu 28, Western Balkan Countries, Moldavia, Turkey And Ukraine. S2Biom Project Report 1.8. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
17.
Ullah, Sami, Petra Adler, Matthias Dees, et al.. (2017). Comparing image-based point clouds and airborne laser scanning data for estimating forest heights. iForest - Biogeosciences and Forestry. 10(1). 273–280. 12 indexed citations
18.
Haarpaintner, Jörg, et al.. (2015). Tropical Forest Remote Sensing Services for the Democratic Republic of Congo inside the EU FP7 ReCover Project (Final Results 2000-2012). SHILAP Revista de lepidopterología. XL-7/W3. 397–402. 3 indexed citations
19.
Datta, Pawan & Helmer Schack‐Kirchner. (2010). Erosion Relevant Topographical Parameters Derived from Different DEMs—A Comparative Study from the Indian Lesser Himalayas. Remote Sensing. 2(8). 1941–1961. 35 indexed citations

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.

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