Geven Piir

434 citations
11 papers · 163 indexed · h-index 7
Topics
Computational Drug Discovery Methods (8 papers)Analytical Chemistry and Chromatography (3 papers)Environmental Toxicology and Ecotoxicology (3 papers)
Partner nations
EstoniaSwedenAustria

In The Last Decade

Geven Piir

10 papers receiving 162 citations

Peers

Geven Piir
Comparison fields: 5 of 63
  • Computational Theory and Mathematics 87
  • Health, Toxicology and Mutagenesis 46
  • Molecular Biology 44
  • Spectroscopy 22
  • Materials Chemistry 19
Replace Martin A. Ott with:
Martin A. Ott Netherlands
Olena Mokshyna Czechia
Daniel A. S. Kitagawa Brazil
Elton Zvinavashe Netherlands
Aleksandra Rybacka Sweden
Maciej Gromelski Poland
Filippo Lunghini Italy
James E. Dennison United States
Rachael E. Tennant United Kingdom
Micha Rautenberg Germany
Geven Piir relative to Martin A. Ott Netherlands Martin A. Ott's profile →
Citations per field
00.5×1.7×
Martin A. Ott · 1×
Citations per year

Countries citing papers authored by Geven Piir

Since Specialization
Citations

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

Fields of papers citing papers by Geven Piir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geven Piir

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 6
5 7
6 14
7 26
8 61
9 17
10 9
11 21

About Geven Piir

Geven Piir is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 11 papers that have together received 163 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (3 papers) and Environmental Toxicology and Ecotoxicology (3 papers). The work is most often cited by research in Computational Theory and Mathematics (87 citations), Health, Toxicology and Mutagenesis (46 citations) and Filtration and Separation (3 citations). Geven Piir has collaborated with scholars based in Estonia, Sweden and Austria. Frequent co-authors include Uko Maran, Sulev Sild, Alfonso T. García‐Sosa, Iiris Kahn, Alessandra Roncaglioni, Emilio Benfenati, E. Vila, Manuel Pastor, Jaan Leis and Nikolai Georgiev Nikolov. Their work appears in journals such as Journal of Hazardous Materials, Environmental Health Perspectives and Chemosphere.

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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