David Saah

3.2k total citations
72 papers, 2.0k citations indexed

About

David Saah is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, David Saah has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 20 papers in Ecology and 17 papers in Environmental Engineering. Recurrent topics in David Saah's work include Fire effects on ecosystems (18 papers), Remote Sensing in Agriculture (14 papers) and Flood Risk Assessment and Management (12 papers). David Saah is often cited by papers focused on Fire effects on ecosystems (18 papers), Remote Sensing in Agriculture (14 papers) and Flood Risk Assessment and Management (12 papers). David Saah collaborates with scholars based in United States, Italy and Netherlands. David Saah's co-authors include Jennifer Alix‐Garcia, Farrukh Chishtie, Ate Poortinga, Qi Chen, Gaia Vaglio Laurin, John J. Battles, Anne Bartlett, John Gunn, Kel Markert and Karis Tenneson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Environmental Pollution.

In The Last Decade

David Saah

65 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Saah United States 24 1.1k 689 666 365 246 72 2.0k
Lyndon Estes United States 24 1.7k 1.5× 1.0k 1.5× 543 0.8× 329 0.9× 185 0.8× 55 3.1k
Amy E. Frazier United States 29 1.3k 1.2× 699 1.0× 563 0.8× 206 0.6× 313 1.3× 101 2.4k
Qingmin Meng United States 22 815 0.7× 503 0.7× 518 0.8× 185 0.5× 142 0.6× 86 1.7k
Nathan Moore United States 26 1.3k 1.2× 507 0.7× 469 0.7× 208 0.6× 143 0.6× 66 2.4k
Armando Apan Australia 31 1.2k 1.0× 1.4k 2.0× 608 0.9× 183 0.5× 200 0.8× 163 2.9k
Marc Linderman United States 27 1.3k 1.2× 1.1k 1.6× 553 0.8× 382 1.0× 185 0.8× 43 3.1k
Nicola Clerici Colombia 23 1.1k 1.0× 781 1.1× 285 0.4× 290 0.8× 99 0.4× 52 2.1k
Sandra Eckert Switzerland 24 849 0.8× 745 1.1× 408 0.6× 273 0.7× 98 0.4× 59 2.0k
Woo‐Kyun Lee South Korea 30 1.8k 1.6× 1.1k 1.6× 1.1k 1.6× 774 2.1× 133 0.5× 222 3.5k

Countries citing papers authored by David Saah

Since Specialization
Citations

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

Fields of papers citing papers by David Saah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Saah

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

All Works

20 of 20 papers shown
1.
Dyson, Karen, K. J. Johnston, Karis Tenneson, et al.. (2025). Modeling Seasonal Fire Probability in Thailand: A Machine Learning Approach Using Multiyear Remote Sensing Data. Remote Sensing. 17(19). 3378–3378.
2.
Nguyen, Thi Thuy Minh, Ate Poortinga, Karis Tenneson, et al.. (2024). Managing south-east Asia’s savannas: challenges and holistic approaches through community-based fire management. International Journal of Wildland Fire. 33(12). 1 indexed citations
3.
Coen, Janice L., et al.. (2024). A Framework for Conducting and Communicating Probabilistic Wildland Fire Forecasts. Fire. 7(7). 227–227.
4.
Flores-Anderson, Africa I., Franz J. Meyer, Simon Ilyushchenko, et al.. (2023). Evaluating SAR Radiometric Terrain Correction Products: Analysis-Ready Data for Users. Remote Sensing. 15(21). 5110–5110. 12 indexed citations
5.
Poortinga, Ate, Biplov Bhandari, N. H. Quyen, et al.. (2023). Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic Segmentation in Google Earth Engine. Remote Sensing. 15(21). 5223–5223. 9 indexed citations
6.
Poortinga, Ate, et al.. (2021). Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning. Remote Sensing. 13(16). 3166–3166. 34 indexed citations
7.
Poortinga, Ate, Aekkapol Aekakkararungroj, Quyen Nguyen, et al.. (2020). Predictive Analytics for Identifying Land Cover Change Hotspots in the Mekong Region. Remote Sensing. 12(9). 1472–1472. 16 indexed citations
8.
Chishtie, Farrukh, Parul Gupta, Shantha Gamini Jayasinghe, et al.. (2019). Service planning and product design of an Air Quality Monitoring System for Thailand and towards Coverage of the Lower Mekong region. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
10.
Uddin, Kabir, Mir A. Matin, Karis Tenneson, et al.. (2019). Development of Annual Land Cover Map for Nepal for Monitoring and Change Detection from 2000-2018.. 2019. 1 indexed citations
11.
Prager, Steven D., et al.. (2019). Open data in Amazonia and its implications for sustainable development. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
12.
Tenneson, Karis, Matthew Patterson, Erik Lindquist, et al.. (2018). A cloud based approach to synchronize the advancements in global land cover mapping. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
13.
Patterson, Matthew, Karis Tenneson, Emil Cherrington, et al.. (2018). Documenting and Distributing a Regional Land Cover Monitoring System using Free Data and Cloud-based Computing Infrastructure in the Lower Mekong Countries in Southeast Asia. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
14.
Saah, David, et al.. (2018). Extent and characteristics of damage from wildfires caused by incendiary kites during protests of the Gaza-Israel barrier fence (March 2018 to present). AGU Fall Meeting Abstracts. 2018. 1 indexed citations
15.
Markert, Kel, Erik Lindquist, Alfonso Sánchez-Paus Díaz, et al.. (2018). A SERVIR FAO Open Source Partnership: Co-development of Open Source Web Technologies using Earth Observation for Land Cover Mapping.. AGU Fall Meeting Abstracts. 2018. 6 indexed citations
16.
Poortinga, Ate, W.G.M. Bastiaanssen, Gijs Simons, et al.. (2017). A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data. Remote Sensing. 9(1). 86–86. 35 indexed citations
17.
Buchholz, Thomas A., Matthew D. Hurteau, John Gunn, & David Saah. (2015). A global meta‐analysis of forest bioenergy greenhouse gas emission accounting studies. GCB Bioenergy. 8(2). 281–289. 73 indexed citations
18.
Gunn, John, et al.. (2011). Carbon Credit Eligibility under Area Regulation of Harvest Levels in Northern Minnesota. Forest Science. 57(6). 470–478. 7 indexed citations
19.
Sahn, David E., Asli Demirgüç‐Kunt, Peter Glick, et al.. (2010). The World Bank economic review 24 (1). The World Bank Economic Review. 24. 1–174. 1 indexed citations
20.
Alix‐Garcia, Jennifer & David Saah. (2010). The Effect of Refugee Inflows on Host Communities. The World Bank Economic Review. 3 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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