P. Tissot

2.7k total citations · 1 hit paper
112 papers, 2.1k citations indexed

About

P. Tissot is a scholar working on Materials Chemistry, Environmental Engineering and Oceanography. According to data from OpenAlex, P. Tissot has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 25 papers in Environmental Engineering and 23 papers in Oceanography. Recurrent topics in P. Tissot's work include Meteorological Phenomena and Simulations (12 papers), Oceanographic and Atmospheric Processes (11 papers) and Hydrological Forecasting Using AI (10 papers). P. Tissot is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Oceanographic and Atmospheric Processes (11 papers) and Hydrological Forecasting Using AI (10 papers). P. Tissot collaborates with scholars based in United States, Switzerland and France. P. Tissot's co-authors include H. Schmid, Stewart J. Clark, J Robertson, Gustau Catalán, Simon A. T. Redfern, R. Palai, J. F. Scott, R. S. Katiyar, Hamid Kamangir and K. Yvon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

P. Tissot

107 papers receiving 2.0k citations

Hit Papers

βphase andγ−βmetal-insulator transition in multiferroicBi... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Tissot United States 22 943 687 252 247 230 112 2.1k
Qingyun Zhang China 34 2.1k 2.2× 434 0.6× 302 1.2× 941 3.8× 267 1.2× 199 4.0k
Kazuaki Furukawa Japan 31 906 1.0× 327 0.5× 221 0.9× 841 3.4× 92 0.4× 138 3.0k
Qian Song China 27 1.2k 1.3× 555 0.8× 151 0.6× 868 3.5× 254 1.1× 103 2.6k
Michael Schindler Canada 30 853 0.9× 426 0.6× 48 0.2× 332 1.3× 110 0.5× 125 3.0k
Grant S. Henderson Canada 38 2.4k 2.5× 396 0.6× 328 1.3× 601 2.4× 188 0.8× 126 4.7k
Jerome A. Smith United States 27 230 0.2× 119 0.2× 570 2.3× 318 1.3× 195 0.8× 71 2.3k
Weiguo Wang China 28 1.4k 1.5× 344 0.5× 746 3.0× 869 3.5× 425 1.8× 153 3.4k
Pushpendra Kumar India 31 781 0.8× 185 0.3× 359 1.4× 397 1.6× 450 2.0× 141 3.2k
В. И. Сергиенко Russia 27 920 1.0× 237 0.3× 672 2.7× 300 1.2× 366 1.6× 191 2.7k
Bin Zhou China 37 1.6k 1.7× 709 1.0× 538 2.1× 901 3.6× 120 0.5× 236 4.9k

Countries citing papers authored by P. Tissot

Since Specialization
Citations

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

Fields of papers citing papers by P. Tissot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Tissot

This figure shows the co-authorship network connecting the top 25 collaborators of P. Tissot. A scholar is included among the top collaborators of P. Tissot 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 P. Tissot. P. Tissot 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.
Mamalakis, Antonios, et al.. (2025). The influence of correlated features on neural network attribution methods in geoscience. SHILAP Revista de lepidopterología. 4. 1 indexed citations
2.
McGovern, Amy, Imme Ebert‐Uphoff, Elizabeth A. Barnes, et al.. (2024). AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography. AI Magazine. 45(1). 105–110. 1 indexed citations
3.
Qiao, Xiaojun, et al.. (2024). Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 4768–4783. 6 indexed citations
4.
Tissot, P., et al.. (2024). Exploring Deep Learning Methods for Short-Term Tide Gauge Water Level Predictions. Water. 16(20). 2886–2886. 6 indexed citations
5.
Tissot, P., et al.. (2024). Machine-Learning Predictions for Total Water Levels on a Sandy Beach. Journal of Coastal Research. 41(1). 1 indexed citations
6.
Tissot, P., et al.. (2024). Analysis of Sandy Beach Morphology Changes and Inundation Events from a High Spatiotemporal Resolution Dataset. Journal of Coastal Research. 40(6). 1 indexed citations
7.
McGovern, Amy, P. Tissot, & Ann Bostrom. (2024). Developing trustworthy AI for weather and climate. Physics Today. 77(1). 26–31. 7 indexed citations
8.
Qiao, Xiaojun, et al.. (2023). Vertical land motion monitored with satellite radar altimetry and tide gauge along the Texas coastline, USA, between 1993 and 2020. International Journal of Applied Earth Observation and Geoinformation. 117. 103222–103222. 8 indexed citations
9.
Qiao, Xiaojun, et al.. (2023). Long-term vertical-land-motion investigation with space and terrestrial geodetic techniques near San Leon, Texas, USA. International Journal of Applied Earth Observation and Geoinformation. 125. 103580–103580. 3 indexed citations
10.
Qiao, Xiaojun, et al.. (2023). Sentinel-1 InSAR-derived land subsidence assessment along the Texas Gulf Coast. International Journal of Applied Earth Observation and Geoinformation. 125. 103544–103544. 12 indexed citations
11.
Shinoda, Toshiaki, et al.. (2023). Influence of Loop Current and eddy shedding on subseasonal sea level variability along the western Gulf Coast. Frontiers in Marine Science. 9. 2 indexed citations
12.
Qiao, Xiaojun, Tianxing Chu, & P. Tissot. (2023). Coastal Subsidence Analysis Between Houston and Galveston, Texas, USA. 2016. 4139–4142. 1 indexed citations
13.
Kamangir, Hamid, et al.. (2023). Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters. SHILAP Revista de lepidopterología. 2. 4 indexed citations
14.
Tissot, P., et al.. (2022). A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery. Remote Sensing. 14(23). 5990–5990. 8 indexed citations
15.
Qiao, Xiaojun, et al.. (2022). Land Subsidence Estimation With Tide Gauge and Satellite Radar Altimetry Measurements Along the Texas Gulf Coast, USA. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 7 indexed citations
16.
Tissot, P., et al.. (2022). Deep Learning Automatic Detection of the Wet/Dry Shoreline at Fish Pass, Texas. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 1876–1879. 2 indexed citations
17.
Tissot, P., et al.. (1982). Synthesis of silver (II) oxide by oxidation of silver or silver oxide by means of ozone. Polyhedron. 1(2). 183–186. 6 indexed citations
18.
Lüthy, H & P. Tissot. (1974). Etude de la ségrégation dans des alliages dentaires à base d'or, par analyse à la microsonde électronique. CHIMIA International Journal for Chemistry. 28(8). 392–392. 1 indexed citations
19.
Tissot, P., et al.. (1973). Comportement anodique d’alliages or-cuivre en solution aqueuse de NaCl. CHIMIA International Journal for Chemistry. 27(1). 15–15. 1 indexed citations
20.
Tissot, P., et al.. (1964). Étude du comportement et de l'électrolyse de solutions d'oxyde de Germanium dans des fluorures fondus. Helvetica Chimica Acta. 47(8). 2203–2210. 4 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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