David V. Nakles

86 total papers · 1.3k total citations
34 papers, 951 citations indexed

About

David V. Nakles is a scholar working on Environmental Engineering, Mechanical Engineering and Ocean Engineering. According to data from OpenAlex, David V. Nakles has authored 34 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 10 papers in Mechanical Engineering and 8 papers in Ocean Engineering. Recurrent topics in David V. Nakles's work include CO2 Sequestration and Geologic Interactions (17 papers), Groundwater flow and contamination studies (8 papers) and Hydraulic Fracturing and Reservoir Analysis (8 papers). David V. Nakles is often cited by papers focused on CO2 Sequestration and Geologic Interactions (17 papers), Groundwater flow and contamination studies (8 papers) and Hydraulic Fracturing and Reservoir Analysis (8 papers). David V. Nakles collaborates with scholars based in United States and Germany. David V. Nakles's co-authors include David A. Dzombak, Nicholas A. Azzolina, Wesley Peck, Richard G. Luthy, Charles D. Gorecki, L. Stephen Melzer, Steven B. Hawthorne, Liwei Zhang, Scott C. Ayash and Catherine A. Peters and has published in prestigious journals such as Environmental Science & Technology, Scientific Reports and Chemosphere.

In The Last Decade

David V. Nakles

33 papers receiving 903 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 V. Nakles 414 335 252 241 222 34 951
Hun Bok Jung 261 0.6× 208 0.6× 229 0.9× 161 0.7× 183 0.8× 32 900
John A. Christ 557 1.3× 202 0.6× 188 0.7× 112 0.5× 173 0.8× 36 870
W. W. McNab 644 1.6× 193 0.6× 102 0.4× 80 0.3× 238 1.1× 39 1.1k
Nicholas A. Azzolina 351 0.8× 306 0.9× 181 0.7× 228 0.9× 242 1.1× 44 884
Kirk T. O’Reilly 403 1.0× 83 0.2× 528 2.1× 220 0.9× 80 0.4× 38 1.1k
Chao Deng 226 0.5× 171 0.5× 104 0.4× 88 0.4× 151 0.7× 61 1.0k
Kevin G. Mumford 496 1.2× 233 0.7× 47 0.2× 114 0.5× 152 0.7× 69 913
Heonki Kim 501 1.2× 304 0.9× 60 0.2× 102 0.4× 160 0.7× 32 889
Sreenivasulu Chadalavada 339 0.8× 157 0.5× 307 1.2× 382 1.6× 43 0.2× 34 1.2k
Andrea Leeson 390 0.9× 116 0.3× 328 1.3× 291 1.2× 83 0.4× 39 981

Countries citing papers authored by David V. Nakles

Since Specialization
Citations

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

Fields of papers citing papers by David V. Nakles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David V. Nakles

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