Michael Piasecki

121 total papers · 904 total citations
57 papers, 642 citations indexed

About

Michael Piasecki is a scholar working on Environmental Engineering, Geology and Artificial Intelligence. According to data from OpenAlex, Michael Piasecki has authored 57 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 17 papers in Geology and 15 papers in Artificial Intelligence. Recurrent topics in Michael Piasecki's work include Environmental Monitoring and Data Management (17 papers), Groundwater flow and contamination studies (9 papers) and Advanced Computational Techniques and Applications (8 papers). Michael Piasecki is often cited by papers focused on Environmental Monitoring and Data Management (17 papers), Groundwater flow and contamination studies (9 papers) and Advanced Computational Techniques and Applications (8 papers). Michael Piasecki collaborates with scholars based in United States, Bangladesh and France. Michael Piasecki's co-authors include Nikolaos D. Katopodes, Ilya Zaslavsky, David R. Maidment, D. W. Valentine, David G. Tarboton, Jeffery S. Horsburgh, Luis Bermúdez, Jorge E. González, A. K. M. Saiful Islam and Brett F. Sanders and has published in prestigious journals such as Bulletin of the American Meteorological Society, Remote Sensing and Environmental Modelling & Software.

In The Last Decade

Michael Piasecki

54 papers receiving 603 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Michael Piasecki	228	175	165	162	140	57	642
Anthony M. Castronova	230 1.0×	288 1.6×	119 0.7×	306 1.9×	60 0.4×	46	689
Cecelia DeLuca	77 0.3×	190 1.1×	77 0.5×	139 0.9×	49 0.3×	19	773
Susan Cuddy	39 0.2×	68 0.4×	147 0.9×	328 2.0×	47 0.3×	55	706
Peter Gijsbers	74 0.3×	92 0.5×	134 0.8×	327 2.0×	23 0.2×	21	594
Carol Song	39 0.2×	98 0.6×	66 0.4×	95 0.6×	38 0.3×	68	674
Karsten Rink	63 0.3×	33 0.2×	155 0.9×	162 1.0×	26 0.2×	45	593
Xicheng Tan	30 0.1×	50 0.3×	96 0.6×	43 0.3×	100 0.7×	52	674
Raffaele Montella	25 0.1×	158 0.9×	90 0.5×	50 0.3×	32 0.2×	71	723
Muhammed Sit	30 0.1×	29 0.2×	322 2.0×	326 2.0×	105 0.8×	21	733
Diana Di Luccio	29 0.1×	78 0.4×	79 0.5×	36 0.2×	14 0.1×	53	598

Countries citing papers authored by Michael Piasecki

Since Specialization

Citations

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

Fields of papers citing papers by Michael Piasecki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Piasecki

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

All Works

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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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