Adam C. Watts

5.6k total citations · 3 hit papers
61 papers, 3.2k citations indexed

About

Adam C. Watts is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Adam C. Watts has authored 61 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Global and Planetary Change, 22 papers in Atmospheric Science and 18 papers in Environmental Engineering. Recurrent topics in Adam C. Watts's work include Fire effects on ecosystems (36 papers), Atmospheric chemistry and aerosols (17 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Adam C. Watts is often cited by papers focused on Fire effects on ecosystems (36 papers), Atmospheric chemistry and aerosols (17 papers) and Atmospheric and Environmental Gas Dynamics (12 papers). Adam C. Watts collaborates with scholars based in United States, China and United Kingdom. Adam C. Watts's co-authors include Everett Hinkley, Vincent G. Ambrosia, April M. Randle, Robert H. Hilderbrand, Merritt R. Turetsky, Brian W. Benscoter, Guillermo Rein, Guido R. van der Werf, Susan Page and Leda N. Kobziar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Adam C. Watts

59 papers receiving 3.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use

2012 663 citations Adam C. Watts, Vincent G. Ambrosia et al. Remote Sensing profile →
Global vulnerability of peatlands to fire and carbon loss

2014 571 citations Adam C. Watts et al. profile →
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management

2024 66 citations Abolfazl Razi, Fatemeh Afghah et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam C. Watts United States	25	1.6k	1.1k	771	474	411	61	3.2k
Jie Wang China	34	2.6k 1.7×	2.3k 2.0×	1.1k 1.4×	1.5k 3.1×	379 0.9×	157	5.3k
John L. Dwyer United States	20	1.9k 1.2×	2.1k 1.8×	954 1.2×	1.1k 2.4×	104 0.3×	38	3.8k
John J. Qu United States	29	1.8k 1.2×	1.0k 0.9×	1.4k 1.8×	1.0k 2.2×	257 0.6×	100	3.2k
Wilfrid Schroeder United States	27	4.3k 2.8×	1.6k 1.4×	1.2k 1.6×	650 1.4×	268 0.7×	51	5.0k
Ivan Csiszar United States	32	3.7k 2.4×	1.6k 1.4×	1.6k 2.1×	908 1.9×	183 0.4×	74	4.4k
D. X. Viegas Portugal	34	3.5k 2.3×	756 0.7×	479 0.6×	680 1.4×	189 0.5×	290	4.6k
Mazlan Hashim Malaysia	42	1.2k 0.8×	853 0.8×	540 0.7×	1.8k 3.8×	134 0.3×	283	6.2k
Kevin Tansey United Kingdom	42	2.8k 1.8×	2.5k 2.2×	810 1.1×	1.5k 3.2×	93 0.2×	123	5.0k
Pietro Alessandro Brivio Italy	34	2.0k 1.3×	1.8k 1.6×	842 1.1×	930 2.0×	138 0.3×	118	3.8k
Douglas A. Stow United States	34	2.1k 1.3×	2.1k 1.9×	1.1k 1.5×	929 2.0×	140 0.3×	169	4.0k

Countries citing papers authored by Adam C. Watts

Since Specialization

Citations

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

Fields of papers citing papers by Adam C. Watts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam C. Watts. 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 Adam C. Watts. The network helps show where Adam C. Watts may publish in the future.

Co-authorship network of co-authors of Adam C. Watts

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

All Works

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20 of 20 papers shown

Alipour, Mohamad, Eric Rowell, Bharathan Balaji, et al.. (2025). Wildfire Fuels Mapping through Artificial Intelligence-based Methods: A Review. Earth-Science Reviews. 262. 105064–105064. 2 indexed citations

Zhang, Runze, et al.. (2025). UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.

Alipour, Mohamad, et al.. (2025). FUELVISION: A multimodal data fusion and multimodel ensemble algorithm for wildfire fuels mapping. International Journal of Applied Earth Observation and Geoinformation. 138. 104436–104436. 1 indexed citations

Watts, Adam C., et al.. (2024). Bayesian inversion of GPR waveforms for sub-surface material characterization: An uncertainty-aware retrieval of soil moisture and overlaying biomass properties. Remote Sensing of Environment. 313. 114351–114351. 5 indexed citations

Alipour, Mohamad, et al.. (2024). Remote Sensing and Mapping of Fine Woody Carbon With Satellite Imagery and Super Learner. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 2 indexed citations

Zhang, Runze, et al.. (2024). Evaluation of Soil Moisture Retrievals from a Portable L-Band Microwave Radiometer. Remote Sensing. 16(23). 4596–4596. 1 indexed citations

Kobziar, Leda N., J. Kevin Hiers, Claire M. Belcher, et al.. (2024). Principles of fire ecology. Fire Ecology. 20(1). 12 indexed citations

Zhang, Runze, Adam C. Watts, & Mohamad Alipour. (2024). Inverse Dynamic Parameter Identification for Remote Sensing of Soil Moisture From SMAP Satellite Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16592–16607. 1 indexed citations

Kaduwela, A. P., et al.. (2024). A Control-Theoretic Spatio-Temporal Model for Wildfire Smoke Propagation Using UAV-Based Air Pollutant Measurements. Drones. 8(5). 169–169. 2 indexed citations

10.

Alipour, Mohamad, Inga P. La Puma, Joshua J. Picotte, et al.. (2023). A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping. Fire. 6(2). 36–36. 24 indexed citations

11.

Chen, Xiwen, Hao Wang, Fatemeh Afghah, et al.. (2022). Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset. IEEE Access. 10. 121301–121317. 99 indexed citations

12.

Sengupta, Deep, Vera Samburova, Chiranjivi Bhattarai, et al.. (2020). Polar semivolatile organic compounds in biomass-burning emissions and their chemical transformations during aging in an oxidation flow reactor. Atmospheric chemistry and physics. 20(13). 8227–8250. 24 indexed citations

13.

Kobziar, Leda N., et al.. (2019). Accessing the Life in Smoke: A New Application of Unmanned Aircraft Systems (UAS) to Sample Wildland Fire Bioaerosol Emissions and Their Environment. Fire. 2(4). 56–56. 17 indexed citations

14.

Watson, John G., Junji Cao, L.‐W. Antony Chen, et al.. (2019). Gaseous, PM _2.5 mass, and speciated emission factors from laboratory chamber peat combustion. Atmospheric chemistry and physics. 19(22). 14173–14193. 28 indexed citations

15.

Chow, Judith C., Junji Cao, L.‐W. Antony Chen, et al.. (2019). Changes in PM _2.5 peat combustion source profiles with atmospheric aging in an oxidation flow reactor. Atmospheric measurement techniques. 12(10). 5475–5501. 22 indexed citations

16.

Sengupta, Deep, Vera Samburova, Chiranjivi Bhattarai, et al.. (2018). Light absorption by polar and non-polar aerosol compounds from laboratory biomass combustion. Atmospheric chemistry and physics. 18(15). 10849–10867. 69 indexed citations

17.

Chakrabarty, Rajan K., Madhu Gyawali, R. L. N. Yatavelli, et al.. (2016). Brown carbon aerosols from burning of boreal peatlands: microphysical properties, emission factors, and implications for direct radiative forcing. Atmospheric chemistry and physics. 16(5). 3033–3040. 120 indexed citations

18.

Chakrabarty, Rajan K., Madhu Gyawali, R. L. N. Yatavelli, et al.. (2015). Dominance of brown carbon in aerosol emissions from burning of boreal peatlands. 1 indexed citations

19.

Ambrosia, Vincent G., et al.. (2014). UAS Developments Supporting Wildfire Observations. AGU Fall Meeting Abstracts. 2014. 1 indexed citations

20.

Tsibart, A. S., et al.. (2014). Polycyclic aromatic hydrocarbons in post-fire soils of drained peatlands in western Meshchera (Moscow region, Russia). Solid Earth. 5(2). 1305–1317. 36 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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