Erich Emery

710 total citations
17 papers, 337 citations indexed

About

Erich Emery is a scholar working on Ecology, Nature and Landscape Conservation and Oceanography. According to data from OpenAlex, Erich Emery has authored 17 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Nature and Landscape Conservation and 7 papers in Oceanography. Recurrent topics in Erich Emery's work include Fish Ecology and Management Studies (8 papers), Marine and coastal ecosystems (7 papers) and Aquatic Invertebrate Ecology and Behavior (6 papers). Erich Emery is often cited by papers focused on Fish Ecology and Management Studies (8 papers), Marine and coastal ecosystems (7 papers) and Aquatic Invertebrate Ecology and Behavior (6 papers). Erich Emery collaborates with scholars based in United States, Germany and Ghana. Erich Emery's co-authors include Thomas P. Simon, Min Xu, Richard Beck, Molly Reif, Hongxing Liu, Frank H. McCormick, Yang Liu, Bo Yang, Song Shu and John Lekki and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and Critical Reviews in Environmental Science and Technology.

In The Last Decade

Erich Emery

17 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erich Emery United States 11 190 163 92 76 55 17 337
Marta Condé Lamparelli Brazil 7 101 0.5× 56 0.3× 198 2.2× 87 1.1× 41 0.7× 14 369
Theron Miller United States 9 71 0.4× 35 0.2× 110 1.2× 82 1.1× 31 0.6× 21 345
Rajani Kanta Mishra India 12 141 0.7× 51 0.3× 43 0.5× 189 2.5× 25 0.5× 42 385
Hae‐Kyung Park South Korea 11 112 0.6× 55 0.3× 118 1.3× 105 1.4× 36 0.7× 35 317
Petra Philipson Sweden 9 90 0.5× 23 0.1× 126 1.4× 226 3.0× 90 1.6× 19 345
Ewa Paturej Poland 12 166 0.9× 79 0.5× 86 0.9× 141 1.9× 13 0.2× 36 369
Zati Sharip Malaysia 9 100 0.5× 52 0.3× 119 1.3× 34 0.4× 31 0.6× 32 294
Romy Wild Germany 10 155 0.8× 111 0.7× 80 0.9× 36 0.5× 9 0.2× 16 294
Jongkar Grinang Malaysia 9 87 0.5× 85 0.5× 172 1.9× 21 0.3× 19 0.3× 36 316
G. Blom Netherlands 8 119 0.6× 46 0.3× 34 0.4× 143 1.9× 21 0.4× 14 277

Countries citing papers authored by Erich Emery

Since Specialization
Citations

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

Fields of papers citing papers by Erich Emery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Emery

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

All Works

17 of 17 papers shown
1.
Emery, Erich, et al.. (2024). Estimating the influence of water control infrastructure on natural low flow in complex reservoir systems: A case study of the Ohio River. Journal of Hydrology Regional Studies. 54. 101897–101897. 6 indexed citations
2.
Laughrey, Zachary R., Victoria G. Christensen, Robert J. Dusek, et al.. (2021). A review of algal toxin exposures on reserved federal lands and among trust species in the United States. Critical Reviews in Environmental Science and Technology. 52(23). 4284–4307. 8 indexed citations
3.
Xu, Min, Hongxing Liu, Richard Beck, et al.. (2021). Implementation Strategy and Spatiotemporal Extensibility of Multipredictor Ensemble Model for Water Quality Parameter Retrieval With Multispectral Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 10 indexed citations
4.
Wang, Lei, Min Xu, Yang Liu, et al.. (2020). Mapping Freshwater Chlorophyll-a Concentrations at a Regional Scale Integrating Multi-Sensor Satellite Observations with Google Earth Engine. Remote Sensing. 12(20). 3278–3278. 35 indexed citations
5.
Xu, Min, Hongxing Liu, Richard Beck, et al.. (2019). Regionally and Locally Adaptive Models for Retrieving Chlorophyll-a Concentration in Inland Waters From Remotely Sensed Multispectral and Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4758–4774. 37 indexed citations
6.
Johansen, Richard, Richard Beck, Richard P. Stumpf, et al.. (2019). HABSat-1: assessing the feasibility of using CubeSats for the detection of cyanobacterial harmful algal blooms in inland lakes and reservoirs. Lake and Reservoir Management. 35(2). 193–207. 3 indexed citations
7.
Johansen, Richard, Richard Beck, Jakub Nowosad, et al.. (2018). Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations. Harmful Algae. 76. 35–46. 23 indexed citations
8.
Xu, Min, Hongxing Liu, Richard Beck, et al.. (2018). A spectral space partition guided ensemble method for retrieving chlorophyll-a concentration in inland waters from Sentinel-2A satellite imagery. Journal of Great Lakes Research. 45(3). 454–465. 32 indexed citations
9.
Emery, Erich, et al.. (2010). Mercury Concentrations in Water and Hybrid Striped Bass (Morone saxatilis × M. chrysops) Muscle Tissue Samples Collected from the Ohio River, USA. Archives of Environmental Contamination and Toxicology. 60(3). 486–495. 5 indexed citations
10.
Blocksom, Karen A., et al.. (2008). Sampling effort needed to estimate condition and species richness in the Ohio river, USA. Environmental Monitoring and Assessment. 155(1-4). 157–167. 15 indexed citations
11.
Grigorovich, Igor A., et al.. (2008). Invasion of the Upper Mississippi River system by saltwater amphipods. Fundamental and Applied Limnology / Archiv für Hydrobiologie. 173(1). 67–77. 14 indexed citations
12.
Kimmel, William G., et al.. (2007). Ichthyofauna of the Monongahela River Basin in Pennsylvania: A Contemporary Evaluation. Journal of Freshwater Ecology. 22(4). 617–628. 9 indexed citations
13.
Baumann, Paul C., et al.. (2007). First steps in developing a multimetric macroinvertebrate index for the Ohio River. River Research and Applications. 23(7). 683–697. 27 indexed citations
14.
Johnson, Brent, et al.. (2006). Temporal Variation in Ohio River Macroinvertebrates: A Historical Comparison of Rock Basket Sampling (1965–1971 and 2002). Journal of Freshwater Ecology. 21(4). 561–574. 3 indexed citations
15.
Emery, Erich, et al.. (2004). Detection of Temporal Trends in Ohio River Fish Assemblages Based on Lockchamber Surveys (1957-2001). 17 indexed citations
16.
Emery, Erich, Thomas P. Simon, Frank H. McCormick, et al.. (2003). Development of a Multimetric Index for Assessing the Biological Condition of the Ohio River. Transactions of the American Fisheries Society. 132(4). 791–808. 52 indexed citations
17.
Simon, Thomas P. & Erich Emery. (1995). Modification and assessment of an index of biotic integrity to quantify water resource quality in great rivers. Regulated Rivers Research & Management. 11(3-4). 283–298. 41 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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