Dana Parr

14 total papers · 482 total citations
9 papers, 398 citations indexed

About

Dana Parr is a scholar working on Global and Planetary Change, Water Science and Technology and Nature and Landscape Conservation. According to data from OpenAlex, Dana Parr has authored 9 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 7 papers in Water Science and Technology and 1 paper in Nature and Landscape Conservation. Recurrent topics in Dana Parr's work include Climate variability and models (8 papers), Hydrology and Watershed Management Studies (7 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Dana Parr is often cited by papers focused on Climate variability and models (8 papers), Hydrology and Watershed Management Studies (7 papers) and Plant Water Relations and Carbon Dynamics (6 papers). Dana Parr collaborates with scholars based in United States, China and Bangladesh. Dana Parr's co-authors include Guiling Wang, Miao Yu, Dagang Wang, Michael G. Bosilovich, Amir Erfanian, Kevin E. Trenberth, K. F. Ahmed, David M. Bjerklie, Weilin Liao and Youlong Xia and has published in prestigious journals such as Nature Climate Change, Climatic Change and Hydrology and earth system sciences.

In The Last Decade

Dana Parr

9 papers receiving 388 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Dana Parr	352	201	123	35	34	9	398
Lishu Lian	310 0.9×	196 1.0×	122 1.0×	28 0.8×	57 1.7×	14	382
Michael Kendon	214 0.6×	100 0.5×	87 0.7×	28 0.8×	32 0.9×	6	334
Wenqing Lin	301 0.9×	218 1.1×	68 0.6×	52 1.5×	22 0.6×	15	353
Yanjun Jiao	231 0.7×	262 1.3×	111 0.9×	22 0.6×	18 0.5×	6	361
Wilson Gitau	323 0.9×	165 0.8×	160 1.3×	51 1.5×	46 1.4×	14	409
Shuhua Zhang	256 0.7×	158 0.8×	106 0.9×	24 0.7×	19 0.6×	17	373
Natalia Pessacg	361 1.0×	235 1.2×	109 0.9×	16 0.5×	26 0.8×	16	441
Fuxin Zhu	193 0.5×	246 1.2×	102 0.8×	14 0.4×	52 1.5×	12	377
Rulin Ouyang	321 0.9×	207 1.0×	117 1.0×	20 0.6×	71 2.1×	10	410
Sunil R. Kansakar	228 0.6×	167 0.8×	164 1.3×	23 0.7×	47 1.4×	8	383

Countries citing papers authored by Dana Parr

Since Specialization

Citations

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

Fields of papers citing papers by Dana Parr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Parr

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

All Works

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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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