Mark Gard

438 total citations
20 papers, 375 citations indexed

About

Mark Gard is a scholar working on Nature and Landscape Conservation, Ecology and Water Science and Technology. According to data from OpenAlex, Mark Gard has authored 20 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nature and Landscape Conservation, 16 papers in Ecology and 15 papers in Water Science and Technology. Recurrent topics in Mark Gard's work include Fish Ecology and Management Studies (18 papers), Hydrology and Sediment Transport Processes (12 papers) and Hydrology and Watershed Management Studies (11 papers). Mark Gard is often cited by papers focused on Fish Ecology and Management Studies (18 papers), Hydrology and Sediment Transport Processes (12 papers) and Hydrology and Watershed Management Studies (11 papers). Mark Gard collaborates with scholars based in United States and France. Mark Gard's co-authors include Sean Gallagher, Steven F. Railsback, Jason L. White, Bret C. Harvey, Julie K. H. Zimmerman, Paul Leonard, C. Sabaton, Yves Souchon, Jeffrey L. Kershner and N. LeRoy Poff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Canadian Journal of Fisheries and Aquatic Sciences and Transactions of the American Fisheries Society.

In The Last Decade

Mark Gard

18 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Gard United States 10 332 300 217 70 24 20 375
Ryan A. Peek United States 10 207 0.6× 198 0.7× 163 0.8× 78 1.1× 9 0.4× 20 311
Tim Haeusler Australia 6 241 0.7× 313 1.0× 78 0.4× 29 0.4× 19 0.8× 10 348
C. Sabaton France 11 390 1.2× 326 1.1× 197 0.9× 53 0.8× 20 0.8× 19 432
Charles Theiling United States 11 197 0.6× 247 0.8× 87 0.4× 87 1.2× 20 0.8× 20 325
Robert G. Bramblett United States 10 438 1.3× 378 1.3× 111 0.5× 79 1.1× 18 0.8× 19 505
Larry W. Hesse United States 11 333 1.0× 323 1.1× 136 0.6× 30 0.4× 29 1.2× 19 411
Franz Greimel Austria 6 251 0.8× 221 0.7× 113 0.5× 43 0.6× 19 0.8× 10 313
María Soria Spain 7 174 0.5× 244 0.8× 96 0.4× 40 0.6× 12 0.5× 11 299
Kevin B. Mayes United States 9 300 0.9× 254 0.8× 120 0.6× 49 0.7× 4 0.2× 22 355
C. Kerry. Overton United States 4 292 0.9× 348 1.2× 127 0.6× 46 0.7× 90 3.8× 5 407

Countries citing papers authored by Mark Gard

Since Specialization
Citations

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

Fields of papers citing papers by Mark Gard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Gard

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Gard. A scholar is included among the top collaborators of Mark Gard 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 Mark Gard. Mark Gard 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.
Gard, Mark, et al.. (2025). Case Studies on the Use of LIDAR Data for Hydraulic Modeling of Upstream Fish Passage. River Research and Applications. 41(8). 1781–1786.
2.
Gard, Mark. (2023). Central Valley anadromous salmonid habitat suitability criteria. SHILAP Revista de lepidopterología. 109(3).
3.
Gard, Mark, et al.. (2016). Evaluation of Central Valley Spring-Run Chinook Salmon Passage Through Lower Butte Creek Using Hydraulic Modelling Techniques. River Research and Applications. 33(3). 328–340. 2 indexed citations
4.
Holmes, R, et al.. (2015). Evaluation of Steelhead Passage Flows Using Hydraulic Modeling on an Unregulated Coastal California River. River Research and Applications. 32(4). 697–710. 6 indexed citations
5.
Eenennaam, Joel P. Van, et al.. (2015). Spatial and Temporal Distribution of Spawning Events and Habitat Characteristics of Sacramento River Green Sturgeon. Transactions of the American Fisheries Society. 144(6). 1129–1142. 25 indexed citations
6.
Gard, Mark. (2013). MODELLING CHANGES IN SALMON HABITAT ASSOCIATED WITH RIVER CHANNEL RESTORATION AND FLOW‐INDUCED CHANNEL ALTERATIONS. River Research and Applications. 30(1). 40–44. 13 indexed citations
7.
Railsback, Steven F., Mark Gard, Bret C. Harvey, Jason L. White, & Julie K. H. Zimmerman. (2013). Contrast of Degraded and Restored Stream Habitat Using an Individual-Based Salmon Model. North American Journal of Fisheries Management. 33(2). 384–399. 44 indexed citations
8.
Gard, Mark. (2010). Response to Williams (2010) on Gard (2009): Comparison of spawning habitat predictions of PHABSIM and River2D models. International Journal of River Basin Management. 8(1). 121–125. 12 indexed citations
9.
Gard, Mark. (2009). Comparison of spawning habitat predictions of PHABSIM and River2D models*. International Journal of River Basin Management. 7(1). 55–71. 48 indexed citations
11.
Souchon, Yves, C. Sabaton, Dudley W. Reiser, et al.. (2008). Detecting biological responses to flow management: missed opportunities; future directions. River Research and Applications. 24(5). 506–518. 93 indexed citations
12.
Gard, Mark. (2006). Modeling changes in salmon spawning and rearing habitat associated with river channel restoration1. International Journal of River Basin Management. 4(3). 201–211. 44 indexed citations
13.
Gard, Mark. (2005). Ontogenetic microhabitat shifts in Sacramento pikeminnow, Ptychocheilus grandis: reducing intraspecific predation. Aquatic Ecology. 39(2). 229–235. 3 indexed citations
14.
Gard, Mark. (2005). Variability in flow-habitat relationships as a function of transect number for PHABSIM modelling. River Research and Applications. 21(9). 1013–1019. 17 indexed citations
15.
Gard, Mark. (2004). Interactions between an introduced piscivore and a native piscivore in a California stream. Environmental Biology of Fishes. 71(3). 287–295. 11 indexed citations
16.
Gard, Mark, et al.. (2003). Applications of New Technologies to Instream Flow Studies in Large Rivers. North American Journal of Fisheries Management. 23(4). 1114–1125. 8 indexed citations
17.
Gard, Mark. (2002). . Journal of Aquatic Ecosystem Stress and Recovery. 9(4). 227–238. 8 indexed citations
18.
Gallagher, Sean & Mark Gard. (1999). Relationship between chinook salmon (Oncorhynchus tshawytscha) redd densities and PHABSIM-predicted habitat in the Merced and Lower American rivers, California. Canadian Journal of Fisheries and Aquatic Sciences. 56(4). 570–577. 31 indexed citations
19.
Gallagher, Sean & Mark Gard. (1999). Relationship between chinook salmon (<i>Oncorhynchus tshawytscha</i>) redd densities and PHABSIM-predicted habitat in the Merced and Lower American rivers, California. Canadian Journal of Fisheries and Aquatic Sciences. 56(4). 570–577. 4 indexed citations
20.
Gard, Mark. (1997). Threatened fishes of the world: Ptychocheilus lucius Girard, 1856 (Cyprinidae). Environmental Biology of Fishes. 49(3). 292–292. 2 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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