David A. Vaccari

120 total papers · 1.7k total citations
60 papers, 1.1k citations indexed

About

David A. Vaccari is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, David A. Vaccari has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Industrial and Manufacturing Engineering, 11 papers in Water Science and Technology and 9 papers in Civil and Structural Engineering. Recurrent topics in David A. Vaccari's work include Phosphorus and nutrient management (6 papers), Hydrology and Watershed Management Studies (6 papers) and Urban Stormwater Management Solutions (5 papers). David A. Vaccari is often cited by papers focused on Phosphorus and nutrient management (6 papers), Hydrology and Watershed Management Studies (6 papers) and Urban Stormwater Management Solutions (5 papers). David A. Vaccari collaborates with scholars based in United States, China and Canada. David A. Vaccari's co-authors include Andrea G. Capodaglio, Saba Daneshgar, Arianna Callegari, Nikolay Strigul, Stephen M. Powers, Alan Drysdale, Xin Liu, James E. Alleman, Peter F. Strom and R. T. Mueller and has published in prestigious journals such as Environmental Science & Technology, Water Research and Chemosphere.

In The Last Decade

David A. Vaccari

56 papers receiving 995 citations

Author Peers

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

Author Last Decade Papers Cites
David A. Vaccari 500 245 165 157 119 60 1.1k
Tjaša Griessler Bulc 598 1.2× 259 1.1× 91 0.6× 292 1.9× 117 1.0× 47 1.3k
Fábio Kaczala 458 0.9× 271 1.1× 92 0.6× 327 2.1× 127 1.1× 46 1.1k
Fayong Li 288 0.6× 195 0.8× 266 1.6× 173 1.1× 151 1.3× 86 1.1k
Eduardo P. Mateus 281 0.6× 282 1.2× 153 0.9× 241 1.5× 314 2.6× 67 1.4k
Ying Ding 319 0.6× 153 0.6× 107 0.6× 267 1.7× 153 1.3× 36 1.2k
Shu Wang 206 0.4× 192 0.8× 86 0.5× 156 1.0× 127 1.1× 72 1.2k
Chuan Wang 242 0.5× 225 0.9× 191 1.2× 293 1.9× 74 0.6× 91 1.4k
Ewa Wojciechowska 405 0.8× 306 1.2× 112 0.7× 397 2.5× 82 0.7× 94 1.2k
Piotr Koszelnik 249 0.5× 278 1.1× 193 1.2× 256 1.6× 72 0.6× 98 935
Bo Zhou 180 0.4× 348 1.4× 113 0.7× 219 1.4× 212 1.8× 57 1.2k

Countries citing papers authored by David A. Vaccari

Since Specialization
Citations

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

Fields of papers citing papers by David A. Vaccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Vaccari

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