Saki Gerassis

409 citations
25 papers · 297 · h-index 10

Impact in

Papers in

Saki Gerassis

23 papers receiving 293 citations

Peers

Saki Gerassis
Comparison fields: 5 of 84
  • Radiological and Ultrasound Technology 69
  • Ecological Modeling 50
  • Pollution 61
  • Medical Laboratory Technology 7
  • Statistics, Probability and Uncertainty 35
Replace Owen Woodberry with:
Owen Woodberry Australia
Mika Rahikainen Finland
Andrea Mentges Germany
Andy J. Nolan United Kingdom
Bill Ross United States
Ingunn Marie Holmen Norway
Liana E. Pozza Australia
Drew Loney United States
Stephen Scott United Kingdom
Aleksandar Sekulić Serbia
Saki Gerassis relative to Owen Woodberry Australia Owen Woodberry's profile →
Citations per field
00.5×
Owen Woodberry · 1×
Citations per year

Countries citing papers authored by Saki Gerassis

Since Specialization
Citations

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

Fields of papers citing papers by Saki Gerassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Saki Gerassis, 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 Saki Gerassis Line = papers co-authored together Saki Gerassis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201639
2 201736
3 202231
4 201927
5 201824
6 201823
7 201919
8 202118
9 201913
10 202211
11 20198
12 20247
13 20207
14 20187
15 20216
16
Risk Analysis in Tunnel Construction with Bayesian Networks Using Mutual Information for Safety Policy Decisions
20173
17 20223
18 20233
19 20193
20 20173

About Saki Gerassis

Saki Gerassis is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology, Pollution, Nature and Landscape Conservation and Ecological Modeling, having authored 25 papers that have together received 297 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (6 papers), Geochemistry and Geologic Mapping (6 papers), Heavy metals in environment (4 papers), Species Distribution and Climate Change (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Risk and Safety Analysis (3 papers), Soil Geostatistics and Mapping (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (69 citations), Ecological Modeling (50 citations), Pollution (61 citations), Medical Laboratory Technology (7 citations) and Statistics, Probability and Uncertainty (35 citations). Saki Gerassis has collaborated with scholars based in Spain, Portugal and Austria. Frequent co-authors include J. Taboada, Teresa Albuquerque, J.E. Martín, Ángeles Saavedra, J.R. Gallego, Carlos Boente, Maria Margarida Ribeiro, Carlos Sierra, I.M.H.R. Antunes and Eduardo Rodríguez-Valdés. Their work appears in journals such as The Science of The Total Environment, Mathematical Geosciences, Water, Applied Sciences and PLoS ONE.

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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