I. K. Larissi
- Environmental Engineering top 5%
- Global and Planetary Change top 10%
- Atmospheric Science top 10%
- Health, Toxicology and Mutagenesis top 10%
- Electrical and Electronic Engineering
- Co-authors
- Α. Γ. ΠαλιατσόςP. T. NastosKonstantinos MoustrisA. BartzokasParaskevi ZachariaH. D. KambezidisMichael Β. AnthracopoulosKonstantinos Douros
- Topics
- Air Quality Monitoring and Forecasting (9 papers)Air Quality and Health Impacts (8 papers)Hydrological Forecasting Using AI (4 papers)
In The Last Decade
I. K. Larissi
15 papers receiving 420 citations
Peers
Comparison fields: 5 of 78
- Environmental Engineering 260
- Global and Planetary Change 137
- Atmospheric Science 119
- Health, Toxicology and Mutagenesis 104
- Electrical and Electronic Engineering 95
Countries citing papers authored by I. K. Larissi
This map shows the geographic impact of I. K. Larissi'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 I. K. Larissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. K. Larissi more than expected).
Fields of papers citing papers by I. K. Larissi
This network shows the impact of papers produced by I. K. Larissi. 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 I. K. Larissi. The network helps show where I. K. Larissi may publish in the future.
Co-authorship network of co-authors of I. K. Larissi
This figure shows the co-authorship network connecting the top 25 collaborators of I. K. Larissi. A scholar is included among the top collaborators of I. K. Larissi 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 I. K. Larissi. I. K. Larissi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 2 | |
| 3 | 45 | |
| 4 | 74 | |
| 5 | 15 | |
| 6 | 27 | |
| 7 | 3 | |
| 8 | 47 | |
| 9 | 31 | |
| 10 | 54 | |
| 11 | 72 | |
| 12 | PM10 concentration levels in the greater Athens area, Greece. | 16 |
| 13 | Rain intensity forecast using Artificial Neural Networks in Athens, Greece | 4 |
| 14 | 3 | |
| 15 | 21 |
About I. K. Larissi
I. K. Larissi is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Speech and Hearing, having authored 15 papers that have together received 438 indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (9 papers), Air Quality and Health Impacts (8 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Environmental Engineering (260 citations), Health, Toxicology and Mutagenesis (104 citations) and Atmospheric Science (119 citations). I. K. Larissi has collaborated with scholars based in Greece and India. Frequent co-authors include Α. Γ. Παλιατσός, P. T. Nastos, Konstantinos Moustris, A. Bartzokas, Paraskevi Zacharia, H. D. Kambezidis, Michael Β. Anthracopoulos, Konstantinos Douros, Kostas Ν. Priftis and Βasil E. Psiloglou. Their work appears in journals such as Water Air & Soil Pollution, Environmental Monitoring and Assessment and Atmospheric Research.
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.