Ken Eng

1.4k total citations
38 papers, 1.0k citations indexed

About

Ken Eng is a scholar working on Water Science and Technology, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Ken Eng has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Water Science and Technology, 13 papers in Ecology and 12 papers in Nature and Landscape Conservation. Recurrent topics in Ken Eng's work include Hydrology and Watershed Management Studies (28 papers), Hydrology and Sediment Transport Processes (11 papers) and Fish Ecology and Management Studies (11 papers). Ken Eng is often cited by papers focused on Hydrology and Watershed Management Studies (28 papers), Hydrology and Sediment Transport Processes (11 papers) and Fish Ecology and Management Studies (11 papers). Ken Eng collaborates with scholars based in United States, Singapore and Canada. Ken Eng's co-authors include Daren M. Carlisle, David M. Wolock, P. C. D. Milly, Theodore E. Grantham, Julie E. Kiang, Olivier Elemento, Gary D. Tasker, Peter Martin, Durelle Scott and Richard B. Moore and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Blood.

In The Last Decade

Ken Eng

36 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Eng United States 18 553 327 277 244 206 38 1.0k
Christopher G. Peterson United States 25 271 0.5× 1.3k 3.9× 68 0.2× 244 1.0× 658 3.2× 50 2.1k
Lothar Mueller Germany 23 78 0.1× 137 0.4× 167 0.6× 167 0.7× 24 0.1× 52 1.6k
Erik M. Smith United States 18 121 0.2× 699 2.1× 221 0.8× 32 0.1× 67 0.3× 37 1.5k
Philippe Riou France 24 159 0.3× 341 1.0× 339 1.2× 40 0.2× 108 0.5× 46 2.1k
William Roberts United States 21 138 0.2× 118 0.4× 40 0.1× 203 0.8× 58 0.3× 49 2.1k
M. S. Srinivasan New Zealand 26 792 1.4× 174 0.5× 211 0.8× 42 0.2× 41 0.2× 58 3.3k
Yoshihiro Iijima Japan 25 71 0.1× 125 0.4× 424 1.5× 36 0.1× 47 0.2× 74 2.0k
Richard A. Smith United Kingdom 9 640 1.2× 253 0.8× 44 0.2× 18 0.1× 216 1.0× 18 1.9k
Eric A. Strauss United States 21 528 1.0× 660 2.0× 89 0.3× 15 0.1× 307 1.5× 39 1.6k
Yehui Tan China 27 100 0.2× 1.1k 3.5× 617 2.2× 29 0.1× 77 0.4× 184 2.6k

Countries citing papers authored by Ken Eng

Since Specialization
Citations

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

Fields of papers citing papers by Ken Eng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Eng

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Eng. A scholar is included among the top collaborators of Ken Eng 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 Ken Eng. Ken Eng 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.
Eng, Ken, David M. Wolock, & Michael Wieczorek. (2023). Predicting baseflow recession characteristics at ungauged stream locations using a physical and machine learning approach. Advances in Water Resources. 175. 104440–104440. 1 indexed citations
2.
Eng, Ken, Daren M. Carlisle, Matthew J. Cashman, et al.. (2023). Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition. The Science of The Total Environment. 908. 168258–168258. 2 indexed citations
3.
Eng, Ken & David M. Wolock. (2022). Evaluation of machine learning approaches for predicting streamflow metrics across the conterminous United States. Scientific investigations report. 2 indexed citations
4.
Carlisle, Daren M., David M. Wolock, Christopher P. Konrad, et al.. (2019). Flow modification in the Nation’s streams and rivers. U.S. Geological Survey circular. 29 indexed citations
5.
6.
Carlisle, Daren M., Theodore E. Grantham, Ken Eng, & David M. Wolock. (2019). Regional-scale associations between indicators of biological integrity and indicators of streamflow modification. Antarctica A Keystone in a Changing World. 3 indexed citations
7.
Farmer, William, Julie E. Kiang, Toby D. Feaster, & Ken Eng. (2019). Regionalization of surface-water statistics using multiple linear regression. Techniques and methods. 12 indexed citations
8.
Harvey, Judson W., J. D. Gomez‐Velez, N. M. Schmadel, et al.. (2018). How Hydrologic Connectivity Regulates Water Quality in River Corridors. JAWRA Journal of the American Water Resources Association. 55(2). 369–381. 91 indexed citations
9.
Schmadel, N. M., Judson W. Harvey, Richard B. Alexander, et al.. (2018). Thresholds of lake and reservoir connectivity in river networks control nitrogen removal. Nature Communications. 9(1). 2779–2779. 81 indexed citations
10.
Carlisle, Daren M., et al.. (2017). Matched ecological assessment and stream gaging data for the CONUS. USGS DOI Tool Production Environment. 1 indexed citations
11.
Juracek, Kyle E., Ken Eng, Daren M. Carlisle, & David M. Wolock. (2017). Streamflow alteration and habitat ramifications for a threatened fish species in the Central United States. River Research and Applications. 33(7). 993–1003. 9 indexed citations
12.
Liberto, Maurizio Di, Xiangao Huang, Olivier Elemento, et al.. (2016). PIK3IP1 Inhibition of PI3K in G1 Arrest Induced By CDK4 Inhibition Reprograms MCL for Ibrutinib Therapy. Blood. 128(22). 610–610. 3 indexed citations
13.
Eng, Ken, David M. Wolock, & Michael D. Dettinger. (2015). Sensitivity of Intermittent Streams to Climate Variations in the USA. River Research and Applications. 32(5). 885–895. 42 indexed citations
14.
Chiron, David, Maurizio Di Liberto, Peter Martin, et al.. (2014). Cell-Cycle Reprogramming for PI3K Inhibition Overrides a Relapse-Specific C481S BTK Mutation Revealed by Longitudinal Functional Genomics in Mantle Cell Lymphoma. Cancer Discovery. 4(9). 1022–1035. 204 indexed citations
15.
Jiang, Yanwen, David Redmond, Kui Nie, et al.. (2014). Deep sequencing reveals clonal evolution patterns and mutation events associated with relapse in B-cell lymphomas. Genome biology. 15(8). 432–432. 64 indexed citations
16.
Eng, Ken, David M. Wolock, & Daren M. Carlisle. (2013). River flow changes related to land and water management practices across the conterminous United States. The Science of The Total Environment. 463-464. 414–422. 32 indexed citations
17.
Curran, Christopher A., Ken Eng, & Christopher P. Konrad. (2012). Analysis of low flows and selected methods for estimating low-flow characteristics at partial-record and ungaged stream sites in western Washington. Scientific investigations report. 11 indexed citations
18.
Eng, Ken, et al.. (2007). Regionalization of Streamflow Characteristics for the Gulf-Atlantic Rolling Plains Using Leverage-Guided Region-of-Influence Regression. World Environmental and Water Resources Congress 2007. 26. 1–11. 5 indexed citations
19.
Eng, Ken & Wilfried Brutsaert. (2002). How representative are local measurements of the surface shear stress for regional values?. Advances in Water Resources. 25(8-12). 1349–1355. 2 indexed citations
20.
Eng, Ken, et al.. (1995). Promotion of cone production on field-grown eastern white pine grafts by gibberellin application. Forest Ecology and Management. 75(1-3). 11–16. 7 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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