J. Lanini

633 total citations
9 papers, 515 citations indexed

About

J. Lanini is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, J. Lanini has authored 9 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 7 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in J. Lanini's work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (4 papers) and Hydrology and Drought Analysis (4 papers). J. Lanini is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (4 papers) and Hydrology and Drought Analysis (4 papers). J. Lanini collaborates with scholars based in United States, Australia and Germany. J. Lanini's co-authors include Dennis P. Lettenmaier, Anthony J. Jakeman, Barry Croke, Jan Seibert, Neil R. Viney, Johan Alexander Huisman, Patrick Willems, Göran Lindström, G. H. Leavesley and Axel Bronstert and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Advances in Water Resources.

In The Last Decade

J. Lanini

9 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Lanini United States	8	419	379	104	94	91	9	515
N. Folton France	8	373 0.9×	341 0.9×	94 0.9×	61 0.6×	94 1.0×	17	446
Adrián López-Ballesteros Spain	16	390 0.9×	306 0.8×	155 1.5×	69 0.7×	60 0.7×	24	508
Yoshiyuki Yokoo Japan	9	358 0.9×	306 0.8×	95 0.9×	58 0.6×	47 0.5×	35	417
Sandra Pool Switzerland	12	426 1.0×	320 0.8×	171 1.6×	89 0.9×	54 0.6×	21	537
Binod Bhatta Thailand	7	441 1.1×	354 0.9×	138 1.3×	124 1.3×	55 0.6×	9	532
Uta Fritsch Germany	5	332 0.8×	333 0.9×	102 1.0×	48 0.5×	86 0.9×	8	435
Yuqin Gao China	9	357 0.9×	404 1.1×	151 1.5×	81 0.9×	45 0.5×	35	505
Alban de Lavenne France	11	318 0.8×	251 0.7×	88 0.8×	49 0.5×	44 0.5×	27	361
Christopher G. Surfleet United States	9	363 0.9×	240 0.6×	78 0.8×	111 1.2×	135 1.5×	22	475
Larisa Tarasova Germany	16	427 1.0×	385 1.0×	92 0.9×	118 1.3×	37 0.4×	27	574

Countries citing papers authored by J. Lanini

Since Specialization

Citations

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

Fields of papers citing papers by J. Lanini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lanini

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

All Works

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9 of 9 papers shown

Wood, Andrew W., Naoki Mizukami, Martyn Clark, et al.. (2020). A new SUMMA and MizuRoute hydrologic modeling resource for US water applications. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Lanini, J., et al.. (2013). Stochastic Method for Examining Vulnerability of Hydropower Generation and Reservoir Operations to Climate Change: Case Study of the Dworshak Reservoir in Idaho. Journal of Water Resources Planning and Management. 140(9). 12 indexed citations

Furey, Peter R., et al.. (2012). A Stochastic Conceptual Modeling Approach for Examining the Effects of Climate Change on Streamflows in Mountain Basins. Journal of Hydrometeorology. 13(3). 837–855. 10 indexed citations

Lanini, J., E. Clark, & Dennis P. Lettenmaier. (2009). Effects of fire‐precipitation timing and regime on post‐fire sediment delivery in Pacific Northwest forests. Geophysical Research Letters. 36(1). 28 indexed citations

Breuer, Lutz, Johan Alexander Huisman, Patrick Willems, et al.. (2008). Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM). I: Model intercomparison with current land use. Advances in Water Resources. 32(2). 129–146. 185 indexed citations

Viney, Neil R., Helge Bormann, Lutz Breuer, et al.. (2008). Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) II: Ensemble combinations and predictions. Advances in Water Resources. 32(2). 147–158. 120 indexed citations

Huisman, Johan Alexander, Lutz Breuer, Helge Bormann, et al.. (2008). Assessing the impact of land use change on hydrology by ensemble modeling (LUCHEM) III: Scenario analysis. Advances in Water Resources. 32(2). 159–170. 89 indexed citations

Bowling, L. C., et al.. (2006). A spatially distributed model for the dynamic prediction of sediment erosion and transport in mountainous forested watersheds. Water Resources Research. 42(4). 60 indexed citations

Viney, Neil R., Barry Croke, Lutz Breuer, et al.. (2005). Ensemble modelling of the hydrological impacts of land use change. ANU Open Research (Australian National University). 2967–2973. 10 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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