Danielle M. Knip

439 total citations
8 papers, 351 citations indexed

About

Danielle M. Knip is a scholar working on Nature and Landscape Conservation, Aquatic Science and Ecology. According to data from OpenAlex, Danielle M. Knip has authored 8 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nature and Landscape Conservation, 3 papers in Aquatic Science and 3 papers in Ecology. Recurrent topics in Danielle M. Knip's work include Ichthyology and Marine Biology (6 papers), Fish Ecology and Management Studies (4 papers) and Marine and fisheries research (3 papers). Danielle M. Knip is often cited by papers focused on Ichthyology and Marine Biology (6 papers), Fish Ecology and Management Studies (4 papers) and Marine and fisheries research (3 papers). Danielle M. Knip collaborates with scholars based in Australia, Canada and United States. Danielle M. Knip's co-authors include Michelle R. Heupel, Colin A. Simpfendorfer, Andrew J. Tobin, Elodie J. I. Lédée, Robert E. Scheibling, James Moloney, Hadayet Ullah, K. Zylich and Dirk Zeller and has published in prestigious journals such as Biological Conservation, Animal Behaviour and Marine Biology.

In The Last Decade

Danielle M. Knip

8 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle M. Knip Australia 8 282 214 169 77 24 8 351
David Acuña-Marrero Ecuador 9 251 0.9× 189 0.9× 137 0.8× 38 0.5× 25 1.0× 14 322
Mark E. Bond United States 11 371 1.3× 274 1.3× 204 1.2× 71 0.9× 16 0.7× 17 452
Amy F. Smoothey Australia 12 312 1.1× 201 0.9× 169 1.0× 64 0.8× 49 2.0× 21 404
Paul E. Kanive United States 9 291 1.0× 197 0.9× 175 1.0× 54 0.7× 14 0.6× 15 382
Amos Mapleston Australia 11 263 0.9× 169 0.8× 205 1.2× 101 1.3× 12 0.5× 15 333
Beau G. Yeiser United States 7 364 1.3× 228 1.1× 227 1.3× 82 1.1× 31 1.3× 7 432
Audrey Schlaff Australia 6 260 0.9× 177 0.8× 178 1.1× 46 0.6× 17 0.7× 8 315
Santiago A. Barbini Argentina 14 355 1.3× 207 1.0× 233 1.4× 112 1.5× 18 0.8× 38 436
AJ Tobin Australia 12 378 1.3× 245 1.1× 260 1.5× 92 1.2× 12 0.5× 12 454
Chris Boggs United States 5 252 0.9× 297 1.4× 340 2.0× 62 0.8× 32 1.3× 11 457

Countries citing papers authored by Danielle M. Knip

Since Specialization
Citations

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

Fields of papers citing papers by Danielle M. Knip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Knip. 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 Danielle M. Knip. The network helps show where Danielle M. Knip may publish in the future.

Co-authorship network of co-authors of Danielle M. Knip

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

All Works

8 of 8 papers shown
1.
Lédée, Elodie J. I., Michelle R. Heupel, Andrew J. Tobin, Danielle M. Knip, & Colin A. Simpfendorfer. (2015). A comparison between traditional kernel-based methods and network analysis: an example from two nearshore shark species. Animal Behaviour. 103. 17–28. 47 indexed citations
2.
Ullah, Hadayet, et al.. (2014). Reconstruction of total marine fisheries catches for Bangladesh: 1950-2010. 9 indexed citations
3.
Knip, Danielle M., Michelle R. Heupel, & Colin A. Simpfendorfer. (2012). Habitat use and spatial segregation of adult spottail sharks Carcharhinus sorrah in tropical nearshore waters. Journal of Fish Biology. 80(4). 767–784. 55 indexed citations
4.
Knip, Danielle M., Michelle R. Heupel, & Colin A. Simpfendorfer. (2012). To roam or to home: site fidelity in a tropical coastal shark. Marine Biology. 159(8). 1647–1657. 33 indexed citations
5.
Knip, Danielle M., Michelle R. Heupel, & Colin A. Simpfendorfer. (2012). Evaluating marine protected areas for the conservation of tropical coastal sharks. Biological Conservation. 148(1). 200–209. 124 indexed citations
6.
Knip, Danielle M., Michelle R. Heupel, & Colin A. Simpfendorfer. (2012). Mortality rates for two shark species occupying a shared coastal environment. Fisheries Research. 125-126. 184–189. 27 indexed citations
7.
Knip, Danielle M., Michelle R. Heupel, Colin A. Simpfendorfer, Andrew J. Tobin, & James Moloney. (2011). Wet-season effects on the distribution of juvenile pigeye sharks, Carcharhinus amboinensis, in tropical nearshore waters. Marine and Freshwater Research. 62(6). 658–667. 39 indexed citations
8.
Knip, Danielle M. & Robert E. Scheibling. (2007). Invertebrate fauna associated with kelp enhances reproductive output of the green sea urchin Strongylocentrotus droebachiensis. Journal of Experimental Marine Biology and Ecology. 351(1-2). 150–159. 17 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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