B. Jack Cosby

3.5k total citations · 1 hit paper
15 papers, 2.5k citations indexed

About

B. Jack Cosby is a scholar working on Environmental Chemistry, Water Science and Technology and Ecology. According to data from OpenAlex, B. Jack Cosby has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Chemistry, 8 papers in Water Science and Technology and 4 papers in Ecology. Recurrent topics in B. Jack Cosby's work include Soil and Water Nutrient Dynamics (8 papers), Hydrology and Watershed Management Studies (6 papers) and Groundwater and Isotope Geochemistry (3 papers). B. Jack Cosby is often cited by papers focused on Soil and Water Nutrient Dynamics (8 papers), Hydrology and Watershed Management Studies (6 papers) and Groundwater and Isotope Geochemistry (3 papers). B. Jack Cosby collaborates with scholars based in United States, United Kingdom and Norway. B. Jack Cosby's co-authors include James N. Galloway, John D. Aber, Ellis B. Cowling, Jan Willem Erisman, Robert W. Howarth, Sybil P. Seitzinger, Charles T. Driscoll, Kathleen C. Weathers, Timothy H. Tear and Alan Jenkins and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Annals of the New York Academy of Sciences.

In The Last Decade

B. Jack Cosby

14 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Nitrogen Cascade

2003 2.2k citations James N. Galloway, John D. Aber et al. BioScience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Jack Cosby United States	9	923	705	600	427	418	15	2.5k
Chaopu Ti China	24	826 0.9×	526 0.7×	658 1.1×	429 1.0×	208 0.5×	58	2.2k
Sami Ullah United Kingdom	25	627 0.7×	664 0.9×	545 0.9×	304 0.7×	390 0.9×	93	2.2k
Richard Meissner Germany	28	677 0.7×	467 0.7×	560 0.9×	563 1.3×	379 0.9×	150	2.5k
Nicholas Bouskill United States	27	560 0.6×	1.3k 1.8×	571 1.0×	275 0.6×	411 1.0×	55	2.8k
Bernd Lennartz Germany	36	807 0.9×	1.1k 1.5×	754 1.3×	1.0k 2.5×	411 1.0×	148	3.7k
L.J.M. Boumans Netherlands	15	1.0k 1.1×	505 0.7×	1.1k 1.8×	228 0.5×	308 0.7×	29	2.1k
Yongqiu Xia China	28	901 1.0×	602 0.9×	818 1.4×	645 1.5×	326 0.8×	92	2.6k
Amnat Chidthaisong Thailand	32	686 0.7×	786 1.1×	616 1.0×	216 0.5×	701 1.7×	82	2.8k
K.W. van der Hoek Netherlands	16	917 1.0×	718 1.0×	685 1.1×	256 0.6×	805 1.9×	29	3.3k
Joachim Ingwersen Germany	33	524 0.6×	633 0.9×	1.2k 2.0×	353 0.8×	748 1.8×	101	3.0k

Countries citing papers authored by B. Jack Cosby

Since Specialization

Citations

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

Fields of papers citing papers by B. Jack Cosby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Jack Cosby. 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 B. Jack Cosby. The network helps show where B. Jack Cosby may publish in the future.

Co-authorship network of co-authors of B. Jack Cosby

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

All Works

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15 of 15 papers shown

Perry, William Bernard, Nigel Milner, Mark de Bruyn, et al.. (2025). Quantitative insights into the spatio‐temporal variation of Atlantic salmon (Salmo salar) biomass in a river catchment using eDNA metabarcoding. Journal of Fish Biology.

Feeney, Christopher J., David A. Robinson, Aidan M. Keith, et al.. (2023). Development of soil health benchmarks for managed and semi-natural landscapes. The Science of The Total Environment. 886. 163973–163973. 19 indexed citations

Posch, Maximilian, Julian Aherne, Filip Moldan, et al.. (2019). Dynamic Modeling and Target Loads of Sulfur and Nitrogen for Surface Waters in Finland, Norway, Sweden, and the United Kingdom. Environmental Science & Technology. 53(9). 5062–5070. 5 indexed citations

Bussi, Gianbattista, P. G. Whitehead, Amy Thomas, et al.. (2017). Climate and land-use change impact on faecal indicator bacteria in a temperate maritime catchment (the River Conwy, Wales). Journal of Hydrology. 553. 248–261. 18 indexed citations

Skeffington, R. A., B. Jack Cosby, & P. G. Whitehead. (2016). Long-term predictions of ecosystem acidification and recovery. The Science of The Total Environment. 568. 381–390. 4 indexed citations

Lovett, Gary M., Timothy H. Tear, David C. Evers, et al.. (2009). Effects of Air Pollution on Ecosystems and Biological Diversity in the Eastern United States. Annals of the New York Academy of Sciences. 1162(1). 99–135. 166 indexed citations

Larssen, Thorjørn, Tore Høgåsen, & B. Jack Cosby. (2007). Impact of time series data on calibration and prediction uncertainty for a deterministic hydrogeochemical model. Ecological Modelling. 207(1). 22–33. 21 indexed citations

Welsch, D. L., B. Jack Cosby, & George M. Hornberger. (2006). Simulation of future stream alkalinity under changing deposition and climate scenarios. The Science of The Total Environment. 367(2-3). 800–810. 5 indexed citations

Welsch, D. L., B. Jack Cosby, & George M. Hornberger. (2006). Simulation of Stream Water Alkalinity Concentrations using Coupled Models of Soil air CO2 and Stream Water Chemistry. Biogeochemistry. 79(3). 339–360. 2 indexed citations

10.

Larssen, Thorjørn, et al.. (2004). Uncertainties in Predictions of Surface Water Acidity using the MAGIC Model. Water Air and Soil Pollution Focus. 4(2-3). 125–137. 8 indexed citations

11.

Galloway, James N., John D. Aber, Jan Willem Erisman, et al.. (2003). The Nitrogen Cascade. BioScience. 53(4). 341–341. 2164 indexed citations breakdown →

12.

Fitzhugh, Ross D., Tanya Furman, James R. Webb, B. Jack Cosby, & Charles T. Driscoll. (1999). Longitudinal and seasonal patterns of stream acidity in a headwater catchment on the Appalachian Plateau, West Virginia, U.S.A.. Biogeochemistry. 47(1). 39–62. 19 indexed citations

13.

Fitzhugh, Ross D., et al.. (1999). Longitudinal and seasonal patterns of stream acidity in a headwater catchment on the Appalachian Plateau, West Virginia, U.S.A.. Biogeochemistry. 47(1). 39–62. 17 indexed citations

14.

Jenkins, Alan, William T. Sloan, & B. Jack Cosby. (1995). Stream chemistry in the middle hills and high mountains of the Himalayas, Nepal. Journal of Hydrology. 166(1-2). 61–79. 47 indexed citations

15.

Ferrier, Robert C., Richard F. Wright, B. Jack Cosby, & Alan Jenkins. (1995). Application of the magic model to the Norway spruce stand at Solling, Germany. Ecological Modelling. 83(1-2). 77–84. 20 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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