Leah Wasser

119 total papers · 552 total citations
10 papers, 199 citations indexed

About

Leah Wasser is a scholar working on Environmental Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Leah Wasser has authored 10 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 4 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Leah Wasser's work include Remote Sensing and LiDAR Applications (4 papers), Soil Geostatistics and Mapping (2 papers) and Soil erosion and sediment transport (2 papers). Leah Wasser is often cited by papers focused on Remote Sensing and LiDAR Applications (4 papers), Soil Geostatistics and Mapping (2 papers) and Soil erosion and sediment transport (2 papers). Leah Wasser collaborates with scholars based in United States and Canada. Leah Wasser's co-authors include R. L. Day, L. Chasmer, Alan H. Taylor, A. W. Taylor, Amber E Budden, Scott L. Collins, Mark Schildhauer, Denny S. Fernández, Rebecca R. Hernandez and Julien Brun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BioScience.

In The Last Decade

Leah Wasser

7 papers receiving 192 citations

Author Peers

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

Author Last Decade Papers Cites
Leah Wasser 110 90 58 46 40 10 199
Philipp Gärtner 57 0.5× 119 1.3× 40 0.7× 27 0.6× 146 3.6× 11 289
Katherine D. Jones 35 0.3× 132 1.5× 50 0.9× 92 2.0× 66 1.6× 10 211
Jason Tallant 49 0.4× 92 1.0× 109 1.9× 19 0.4× 84 2.1× 14 206
Phillip Papastefanou 24 0.2× 42 0.5× 37 0.6× 16 0.3× 142 3.5× 16 216
Jo A. Latimore 11 0.1× 144 1.6× 65 1.1× 52 1.1× 23 0.6× 9 230
Kyle R. Kovach 92 0.8× 111 1.2× 79 1.4× 20 0.4× 99 2.5× 13 245
James Toledano 18 0.2× 72 0.8× 31 0.5× 35 0.8× 110 2.8× 7 206
Peter B. Boucher 95 0.9× 115 1.3× 93 1.6× 21 0.5× 115 2.9× 15 233
Vladimir Wingate 58 0.5× 135 1.5× 30 0.5× 20 0.4× 124 3.1× 14 233
Glenda M. Yenni 10 0.1× 85 0.9× 105 1.8× 97 2.1× 47 1.2× 11 220

Countries citing papers authored by Leah Wasser

Since Specialization
Citations

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

Fields of papers citing papers by Leah Wasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Wasser

This figure shows the co-authorship network connecting the top 25 collaborators of Leah Wasser. A scholar is included among the top collaborators of Leah Wasser 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 Leah Wasser. Leah Wasser 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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