Matz A. Haugen

1.1k total citations · 1 hit paper
5 papers, 792 citations indexed

About

Matz A. Haugen is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Matz A. Haugen has authored 5 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 3 papers in Atmospheric Science and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Matz A. Haugen's work include Climate variability and models (4 papers), Meteorological Phenomena and Simulations (3 papers) and Hydrology and Drought Analysis (2 papers). Matz A. Haugen is often cited by papers focused on Climate variability and models (4 papers), Meteorological Phenomena and Simulations (3 papers) and Hydrology and Drought Analysis (2 papers). Matz A. Haugen collaborates with scholars based in United States. Matz A. Haugen's co-authors include Michael Tsiang, Bala Rajaratnam, Noah S. Diffenbaugh, Allison Charland, Daniel L. Swain, Daniel E. Horton, Deepti Singh, Danielle Touma, Justin Mankin and Yunjie Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Climate.

In The Last Decade

Matz A. Haugen

5 papers receiving 769 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.

Quantifying the influence of global warming on unprecedented extreme climate events

2017 525 citations Noah S. Diffenbaugh, Deepti Singh et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matz A. Haugen United States	5	509	326	93	82	73	5	792
Tuğba Öztürk Türkiye	12	394 0.8×	326 1.0×	51 0.5×	51 0.6×	73 1.0×	30	656
Penny Whetton Australia	12	599 1.2×	365 1.1×	123 1.3×	103 1.3×	110 1.5×	17	865
Ziyi Cai China	12	636 1.2×	710 2.2×	81 0.9×	64 0.8×	77 1.1×	16	1.0k
Ruth E. McDonald United Kingdom	7	628 1.2×	449 1.4×	83 0.9×	71 0.9×	145 2.0×	8	931
Guolong Zhang China	14	688 1.4×	531 1.6×	122 1.3×	46 0.6×	81 1.1×	23	984
Yuanmei Jiao China	11	484 1.0×	303 0.9×	108 1.2×	79 1.0×	94 1.3×	46	784
Oskar Landgren Norway	12	449 0.9×	407 1.2×	33 0.4×	61 0.7×	87 1.2×	23	734
Megan C. Kirchmeier‐Young Canada	12	874 1.7×	568 1.7×	82 0.9×	50 0.6×	90 1.2×	25	1.1k
P. J. van der Linden United Kingdom	3	457 0.9×	295 0.9×	150 1.6×	121 1.5×	85 1.2×	3	954
Allison Charland United States	7	608 1.2×	457 1.4×	103 1.1×	80 1.0×	72 1.0×	7	990

Countries citing papers authored by Matz A. Haugen

Since Specialization

Citations

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

Fields of papers citing papers by Matz A. Haugen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matz A. Haugen. 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 Matz A. Haugen. The network helps show where Matz A. Haugen may publish in the future.

Co-authorship network of co-authors of Matz A. Haugen

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

All Works

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5 of 5 papers shown

1.

Haugen, Matz A., Michael L. Stein, Ryan L. Sriver, & E. J. Moyer. (2019). Future climate emulations using quantile regressions on large ensembles. SHILAP Revista de lepidopterología. 5(1). 37–55. 8 indexed citations

2.

Haugen, Matz A., Michael L. Stein, E. J. Moyer, & Ryan L. Sriver. (2018). Estimating Changes in Temperature Distributions in a Large Ensemble of Climate Simulations Using Quantile Regression. Journal of Climate. 31(20). 8573–8588. 31 indexed citations

3.

Diffenbaugh, Noah S., Deepti Singh, Justin Mankin, et al.. (2017). Quantifying the influence of global warming on unprecedented extreme climate events. Proceedings of the National Academy of Sciences. 114(19). 4881–4886. 525 indexed citations breakdown →

4.

Swain, Daniel L., Michael Tsiang, Matz A. Haugen, et al.. (2014). The Extraordinary California Drought of 2013-2014: Character, Context, and the Role of Climate Change. AGU Fall Meeting Abstracts. 2014. 193 indexed citations

5.

Singh, Deepti, Daniel E. Horton, Michael Tsiang, et al.. (2014). 17. Severe precipitation in Northern India in June 2013: Causes, historical context, and changes in probability. Bulletin of the American Meteorological Society. 95(9). 558–561. 35 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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