A. Parsekian

2.4k total citations
88 papers, 1.6k citations indexed

About

A. Parsekian is a scholar working on Atmospheric Science, Environmental Engineering and Geophysics. According to data from OpenAlex, A. Parsekian has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Atmospheric Science, 26 papers in Environmental Engineering and 23 papers in Geophysics. Recurrent topics in A. Parsekian's work include Climate change and permafrost (40 papers), Cryospheric studies and observations (35 papers) and Geophysical Methods and Applications (19 papers). A. Parsekian is often cited by papers focused on Climate change and permafrost (40 papers), Cryospheric studies and observations (35 papers) and Geophysical Methods and Applications (19 papers). A. Parsekian collaborates with scholars based in United States, Germany and Hong Kong. A. Parsekian's co-authors include Lee Slater, W. Steven Holbrook, Benjamin Jones, Kamini Singha, Burke J. Minsley, Guido Grosse, Lin Liu, Kevin Schaefer, H. A. Zebker and Bradley J. Carr and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geochimica et Cosmochimica Acta and Water Resources Research.

In The Last Decade

A. Parsekian

80 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Parsekian United States 23 847 455 375 347 246 88 1.6k
H A J Russell Canada 18 465 0.5× 164 0.4× 79 0.2× 261 0.8× 133 0.5× 58 1.0k
Valérie Plagnes France 17 244 0.3× 363 0.8× 257 0.7× 297 0.9× 87 0.4× 25 1.1k
M. Lubczynski Netherlands 28 396 0.5× 396 0.9× 265 0.7× 795 2.3× 149 0.6× 84 2.1k
Britt Raubenheimer United States 35 1.2k 1.4× 111 0.2× 89 0.2× 174 0.5× 1.3k 5.5× 111 3.1k
Jan Šаfanda Czechia 24 986 1.2× 534 1.2× 53 0.1× 235 0.7× 39 0.2× 96 1.7k
Uri Kafri Israel 18 295 0.3× 410 0.9× 185 0.5× 316 0.9× 60 0.2× 61 1.1k
Robert H. Lander United States 20 151 0.2× 1.1k 2.4× 551 1.5× 371 1.1× 99 0.4× 45 2.6k
Konstantinos Chalikakis France 20 111 0.1× 634 1.4× 528 1.4× 273 0.8× 38 0.2× 49 1.3k
Abdulrahman S. Alsharhan United Arab Emirates 30 404 0.5× 612 1.3× 349 0.9× 88 0.3× 56 0.2× 71 2.5k
C. Taberner Spain 27 651 0.8× 716 1.6× 179 0.5× 193 0.6× 111 0.5× 59 1.8k

Countries citing papers authored by A. Parsekian

Since Specialization
Citations

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

Fields of papers citing papers by A. Parsekian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Parsekian

This figure shows the co-authorship network connecting the top 25 collaborators of A. Parsekian. A scholar is included among the top collaborators of A. Parsekian 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 A. Parsekian. A. Parsekian 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.
Parsekian, A., et al.. (2025). A novel apparatus for studying fish cognition in the wild. Methods in Ecology and Evolution. 16(5). 939–948.
2.
Schaefer, Kevin, Roger Michaelides, Richard H. Chen, et al.. (2025). Permafrost Dynamics Observatory: 3. Remote Sensing Big Data for the Active Layer, Soil Moisture, and Greening and Browning. Earth and Space Science. 12(1). 1 indexed citations
3.
4.
Ohara, N., et al.. (2024). Characterization of non-Gaussianity in the snow distributions of various landscapes. ˜The œcryosphere. 18(11). 5139–5152.
5.
Parsekian, A., et al.. (2024). Machine Learning‐Based Hydrofacies Classification: Effects of Noise and Regularization. 1(3). 2 indexed citations
6.
Sims, Kenneth W.W., Sean Scott, A. Parsekian, et al.. (2023). The dynamic influence of subsurface geological processes on the assembly and diversification of thermophilic microbial communities in continental hydrothermal systems. Geochimica et Cosmochimica Acta. 362. 77–103. 6 indexed citations
7.
Graña, Darío, A. Parsekian, B. A. Flinchum, et al.. (2022). Geostatistical Rock Physics Inversion for Predicting the Spatial Distribution of Porosity and Saturation in the Critical Zone. Mathematical Geosciences. 54(8). 1315–1345. 11 indexed citations
8.
Chen, Richard H., Roger Michaelides, Lingcao Huang, et al.. (2022). Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L‐Band InSAR and P‐Band PolSAR. Earth and Space Science. 10(1). 11 indexed citations
9.
Jones, Benjamin, Guido Grosse, Louise Farquharson, et al.. (2022). Lake and drained lake basin systems in lowland permafrost regions. Nature Reviews Earth & Environment. 3(1). 85–98. 82 indexed citations
10.
Michaelides, Roger, Richard H. Chen, Kevin Schaefer, et al.. (2021). Permafrost Dynamics Observatory—Part I: Postprocessing and Calibration Methods of UAVSAR L‐Band InSAR Data for Seasonal Subsidence Estimation. Earth and Space Science. 8(7). e2020EA001630–e2020EA001630. 19 indexed citations
11.
Parsekian, A., Louise Farquharson, Benjamin Jones, et al.. (2021). Geophysical Observations of Taliks Below Drained Lake Basins on the Arctic Coastal Plain of Alaska. Journal of Geophysical Research Solid Earth. 126(3). 18 indexed citations
12.
Parsekian, A., Darío Graña, M. Pleasants, et al.. (2021). Hydrogeophysical comparison of hillslope critical zone architecture for different geologic substrates. Geophysics. 86(5). WB29–WB49. 9 indexed citations
13.
Bergstedt, Helena, Benjamin Jones, Kenneth M. Hinkel, et al.. (2021). Remote Sensing-Based Statistical Approach for Defining Drained Lake Basins in a Continuous Permafrost Region, North Slope of Alaska. Remote Sensing. 13(13). 2539–2539. 12 indexed citations
14.
Paige, Ginger B., et al.. (2020). Parameterization of a hydrologic model with geophysical data to simulate observed subsurface return flow paths. Vadose Zone Journal. 19(1). 15 indexed citations
15.
Jones, Benjamin, Christopher D. Arp, Guido Grosse, et al.. (2020). Identifying historical and future potential lake drainage events on the western Arctic coastal plain of Alaska. Permafrost and Periglacial Processes. 31(1). 110–127. 35 indexed citations
16.
Parsekian, A.. (2018). Inverse Methods To Improve Accuracy of Water Content Estimates from Multi-offset Gpr. Journal of Environmental and Engineering Geophysics. 23(3). 349–361. 10 indexed citations
17.
Parsekian, A., et al.. (2018). Monitoring Non-Uniform Infiltration of Snow Melt Using Time-Lapse Electrical Resistivity Tomography. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
18.
Parsekian, A., Kamini Singha, Burke J. Minsley, et al.. (2017). Comparing Measurement Response and Inverted Results of Electrical Resistivity Tomography Instruments. Journal of Environmental and Engineering Geophysics. 22(3). 249–266. 29 indexed citations
19.
Slater, Lee, et al.. (2009). Thaw bulb dimensions determine dusing electrical imaging across thermokarst lakes, Seward Peninsula, Alaska. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
20.
Glaser, Paul H., Donald I. Siegel, Jeffrey P. Chanton, et al.. (2007). A 30 year study of carbon, groundwater, and climate coupling in a large boreal peat basin. AGU Fall Meeting Abstracts. 2007. 1 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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