Martin Gera

806 citations
26 papers · 526 · h-index 14

Impact in

Papers in

Martin Gera

24 papers receiving 491 citations

Peers

Martin Gera
Comparison fields: 5 of 86
  • Radiological and Ultrasound Technology 129
  • Global and Planetary Change 257
  • Safety, Risk, Reliability and Quality 101
  • Environmental Engineering 115
  • Atmospheric Science 125
Replace Juraj Bartók with:
Juraj Bartók Slovakia
Matteo Spada Switzerland
W. Raskob Germany
Mawuli Afenyo Canada
Sonia Giovinazzi New Zealand
Aniello Amendola Austria
Brendan Williams Ireland
Michelle Bensi United States
Jiao Liu China
Serkan Girgin Netherlands
Martin Gera relative to Juraj Bartók Slovakia Juraj Bartók's profile →
Citations per field
00.5×2.9×
Juraj Bartók · 1×
Citations per year

Countries citing papers authored by Martin Gera

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin Gera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Gera Line = papers co-authored together Martin Gera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 201256
3 201949
4 201245
5 201942
6 201542
7 201934
8 201231
9 202023
10 201217
11 202115
12 202015
13 200914
14 202113
15 20219
16 20237
17
Data Mining for Fog Prediction and Low Clouds Detection
20136
18 20156
19 20106
20 20185

About Martin Gera

Martin Gera is a scholar working on Global and Planetary Change, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality, Atmospheric Science and Aerospace Engineering, having authored 26 papers that have together received 526 indexed citations. Recurring topics across this work include Climate variability and models (6 papers), Radioactive contamination and transfer (5 papers), Meteorological Phenomena and Simulations (5 papers), Nuclear and radioactivity studies (5 papers), Radioactivity and Radon Measurements (5 papers), Air Quality Monitoring and Forecasting (3 papers), Aerospace Engineering and Applications (3 papers) and Air Traffic Management and Optimization (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (129 citations), Global and Planetary Change (257 citations), Safety, Risk, Reliability and Quality (101 citations), Environmental Engineering (115 citations) and Atmospheric Science (125 citations). Martin Gera has collaborated with scholars based in Slovakia, Ukraine and Bulgaria. Frequent co-authors include Juraj Bartók, Pavel P. Povinec, Andreas Bott, Galina Lujanienė, Мирослав Келемен, Volodymyr Polishchuk, I. Sýkora, Karol Holý, Steigvilë Byčenkienė and Beáta Gavurová. Their work appears in journals such as International Journal of Environmental Research and Public Health, Atmosphere, Boundary-Layer Meteorology, Journal of Environmental Radioactivity and Sustainability.

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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