Jarmo Mäkelä

817 total citations
31 papers, 296 citations indexed

About

Jarmo Mäkelä is a scholar working on Astronomy and Astrophysics, Global and Planetary Change and Electrical and Electronic Engineering. According to data from OpenAlex, Jarmo Mäkelä has authored 31 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 11 papers in Global and Planetary Change and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Jarmo Mäkelä's work include Lightning and Electromagnetic Phenomena (9 papers), Peatlands and Wetlands Ecology (6 papers) and Fire effects on ecosystems (5 papers). Jarmo Mäkelä is often cited by papers focused on Lightning and Electromagnetic Phenomena (9 papers), Peatlands and Wetlands Ecology (6 papers) and Fire effects on ecosystems (5 papers). Jarmo Mäkelä collaborates with scholars based in Finland, Sweden and Germany. Jarmo Mäkelä's co-authors include Vernon Cooray, Noor Azlinda Ahmad, Zikri Abadi Baharudin, M. Fernando, Kai Puolamäki, Mahbubur Rahman, Toni Viskari, Raúl Montaño, Mahesh Edirisinghe and Tuula Aalto and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Machine Learning and Biogeosciences.

In The Last Decade

Jarmo Mäkelä

29 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jarmo Mäkelä Finland 10 182 151 93 44 39 31 296
Mahesh Edirisinghe Sri Lanka 10 90 0.5× 266 1.8× 69 0.7× 23 0.5× 66 1.7× 38 393
D. Mackerras Australia 11 405 2.2× 343 2.3× 106 1.1× 36 0.8× 103 2.6× 26 502
Tapio J. Tuomi Finland 10 170 0.9× 214 1.4× 28 0.3× 7 0.2× 79 2.0× 21 303
M. F. Stewart United States 11 397 2.2× 265 1.8× 84 0.9× 34 0.8× 123 3.2× 21 532
Kleber P. Naccarato Brazil 15 497 2.7× 502 3.3× 71 0.8× 26 0.6× 157 4.0× 42 663
M. Nyffeler Switzerland 8 210 1.2× 87 0.6× 199 2.1× 17 0.4× 26 0.7× 19 361
M. G. Ballarotti Brazil 7 475 2.6× 320 2.1× 170 1.8× 116 2.6× 45 1.2× 10 552
John A. Cramer United States 13 669 3.7× 550 3.6× 183 2.0× 77 1.8× 139 3.6× 21 807
S. Pédeboy France 11 351 1.9× 304 2.0× 61 0.7× 24 0.5× 93 2.4× 29 421
Yunjun Zhou China 14 375 2.1× 425 2.8× 99 1.1× 60 1.4× 239 6.1× 39 626

Countries citing papers authored by Jarmo Mäkelä

Since Specialization
Citations

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

Fields of papers citing papers by Jarmo Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarmo Mäkelä

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

All Works

20 of 20 papers shown
1.
Korkiakoski, Mika, Jarmo Mäkelä, Markku Koskinen, et al.. (2024). Exploring temporal and spatial variation of nitrous oxide flux using several years of peatland forest automatic chamber data. Biogeosciences. 21(7). 1867–1886. 4 indexed citations
2.
Mäkelä, Jarmo, et al.. (2023). Model selection with bootstrap validation. Statistical Analysis and Data Mining The ASA Data Science Journal. 16(2). 162–186. 2 indexed citations
3.
Mäkelä, Jarmo, et al.. (2022). Technical note: Incorporating expert domain knowledge into causal structure discovery workflows. Biogeosciences. 19(8). 2095–2099. 4 indexed citations
4.
Mäkelä, Jarmo, Laura Arppe, Hannu Fritze, et al.. (2022). Implementation and initial calibration of carbon-13 soil organic matter decomposition in the Yasso model. Biogeosciences. 19(17). 4305–4313. 3 indexed citations
5.
6.
Mäkelä, Jarmo, et al.. (2021). Interactive Causal Structure Discovery in Earth System Sciences. Työväentutkimus Vuosikirja. 3–25. 1 indexed citations
7.
Viskari, Toni, et al.. (2020). Improving Yasso15 soil carbon model estimates with ensemble adjustment Kalman filter state data assimilation. Geoscientific model development. 13(12). 5959–5971. 19 indexed citations
8.
9.
Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Land surface model photosynthesis and parameter calibration for boreal sites with adaptive population importance sampler. 2 indexed citations
10.
Mäkelä, Jarmo, Jürgen Knauer, Mika Aurela, et al.. (2019). Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH. Geoscientific model development. 12(9). 4075–4098. 16 indexed citations
11.
Susiluoto, Jouni, Maarit Raivonen, Leif Backman, et al.. (2018). Calibrating the sqHIMMELI v1.0 wetland methane emission model with hierarchical modeling and adaptive MCMC. Geoscientific model development. 11(3). 1199–1228. 9 indexed citations
12.
Komjáthy, A., Brian M. Sutin, Mark Wallace, et al.. (2018). Remote Sensing of Seismic Activity on Venus Using a Small Spacecraft: Initial Modeling Results. Lunar and Planetary Science Conference. 1731. 3 indexed citations
13.
Lauer, Axel, Colin Jones, Veronika Eyring, et al.. (2018). Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons. Earth System Dynamics. 9(1). 33–67. 12 indexed citations
14.
Raivonen, Maarit, Sampo Smolander, Leif Backman, et al.. (2017). HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssionfor peatlands. 2 indexed citations
15.
Susiluoto, Jouni, Maarit Raivonen, Leif Backman, et al.. (2017). Calibrating a wetland methane emission model with hierarchical modeling and adaptive MCMC. 2 indexed citations
16.
Mäkelä, Jarmo, Jouni Susiluoto, Tiina Markkanen, et al.. (2016). Constraining ecosystem model with adaptive Metropolis algorithm using boreal forest site eddy covariance measurements. Nonlinear processes in geophysics. 23(6). 447–465. 7 indexed citations
17.
Mäkelä, Jarmo, et al.. (2008). Using ratio between breakdown and return stroke intensity for narrowband flash distance estimation. International Conference on Lightning Protection. 1 indexed citations
18.
Mäkelä, Jarmo, et al.. (2006). Simple technique for detection of HF radiation from lightning. International Conference on Lightning Protection. 1 indexed citations
19.
Edirisinghe, Mahesh, Jarmo Mäkelä, Raúl Montaño, M. Fernando, & Vernon Cooray. (2006). Signatures of the lightning HF radiation at 10 MHz, 5 MHz and 3 MHz associated with leader and return stroke process. International Conference on Lightning Protection. 2 indexed citations
20.
Basu, Sarbani, Jarmo Mäkelä, R. Sheehan, et al.. (2004). Two Components of Ionospheric Plasma Structuring at Mid-latitudes during Large Magnetic Storms. AGUFM. 2004. 1 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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