Jarl Kind

1.1k total citations
10 papers, 646 citations indexed

About

Jarl Kind is a scholar working on Global and Planetary Change, Ocean Engineering and Economics and Econometrics. According to data from OpenAlex, Jarl Kind has authored 10 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Ocean Engineering and 2 papers in Economics and Econometrics. Recurrent topics in Jarl Kind's work include Flood Risk Assessment and Management (8 papers), Water resources management and optimization (6 papers) and Hydrology and Drought Analysis (2 papers). Jarl Kind is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Water resources management and optimization (6 papers) and Hydrology and Drought Analysis (2 papers). Jarl Kind collaborates with scholars based in Netherlands, United States and Germany. Jarl Kind's co-authors include W. J. Wouter Botzen, Jeroen C. J. H. Aerts, Hessel Winsemius, Stéphane Hallegatte, Philip J. Ward, Brenden Jongman, Paolo Scussolini, Paul Bates, Andrés Díaz Loaiza and Jaap Kwadijk and has published in prestigious journals such as Water Resources Research, Nature Climate Change and Climatic Change.

In The Last Decade

Jarl Kind

9 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jarl Kind Netherlands	8	531	166	158	146	132	10	646
Marjolein Mens Netherlands	13	562 1.1×	119 0.7×	190 1.2×	186 1.3×	133 1.0×	30	765
Isabel Seifert Germany	12	822 1.5×	302 1.8×	252 1.6×	237 1.6×	82 0.6×	18	998
Vasileios Markantonis Italy	5	341 0.6×	105 0.6×	137 0.9×	94 0.6×	47 0.4×	6	451
Arthur Hrast Essenfelder Italy	14	282 0.5×	102 0.6×	88 0.6×	201 1.4×	149 1.1×	28	583
Russell Blessing United States	11	552 1.0×	220 1.3×	213 1.3×	115 0.8×	33 0.3×	18	623
Rui Figueiredo Portugal	12	422 0.8×	156 0.9×	82 0.5×	133 0.9×	33 0.3×	24	593
Andrés Díaz Loaiza Netherlands	7	497 0.9×	260 1.6×	115 0.7×	128 0.9×	42 0.3×	13	607
Valentin Przyluski France	5	391 0.7×	138 0.8×	245 1.6×	64 0.4×	39 0.3×	7	591
J. B. Chatterton United Kingdom	11	898 1.7×	274 1.7×	174 1.1×	262 1.8×	118 0.9×	24	1.1k
Florian Elmer Germany	8	567 1.1×	190 1.1×	138 0.9×	224 1.5×	32 0.2×	11	694

Countries citing papers authored by Jarl Kind

Since Specialization

Citations

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

Fields of papers citing papers by Jarl Kind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarl Kind

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

All Works

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10 of 10 papers shown

1.

Kind, Jarl, et al.. (2021). Shifting from asset damage to well-being loss within flood risk management. null–null. 1 indexed citations

2.

Kind, Jarl, W. J. Wouter Botzen, & Jeroen C. J. H. Aerts. (2019). Social vulnerability in cost-benefit analysis for flood risk management. Environment and Development Economics. 25(2). 115–134. 31 indexed citations

3.

Haasnoot, Marjolijn, Julie Rozenberg, Kathleen Dominique, et al.. (2019). Investments under non-stationarity: economic evaluation of adaptation pathways. Climatic Change. 161(3). 451–463. 62 indexed citations

4.

Kind, Jarl, et al.. (2018). Benefits and Limitations of Real Options Analysis for the Practice of River Flood Risk Management. Water Resources Research. 54(4). 3018–3036. 21 indexed citations

5.

Hertog, Dick den, et al.. (2018). Adjustable robust strategies for flood protection. Omega. 82. 142–154. 20 indexed citations

6.

Ward, Philip J., Brenden Jongman, Jeroen C. J. H. Aerts, et al.. (2017). A global framework for future costs and benefits of river-flood protection in urban areas. Nature Climate Change. 7(9). 642–646. 257 indexed citations

7.

Kind, Jarl, W. J. Wouter Botzen, & Jeroen C. J. H. Aerts. (2016). Accounting for risk aversion, income distribution and social welfare in cost‐benefit analysis for flood risk management. Wiley Interdisciplinary Reviews Climate Change. 8(2). 81 indexed citations

8.

Kind, Jarl, et al.. (2014). Economically Efficient Standards to Protect the Netherlands Against Flooding. INFORMS Journal on Applied Analytics. 44(1). 7–21. 41 indexed citations

9.

Kind, Jarl, et al.. (2013). Robustness of economically efficient flood protection standards: Monte Carlo analysis on top of cost-benefit analysis. University of Twente Research Information. 6 indexed citations

10.

Kind, Jarl. (2012). Economically efficient flood protection standards for theNetherlands. Journal of Flood Risk Management. 7(2). 103–117. 126 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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