Marius Geantă

44 total papers · 565 total citations
15 papers, 138 citations indexed

About

Marius Geantă is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Marius Geantă has authored 15 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in General Health Professions and 3 papers in Sociology and Political Science. Recurrent topics in Marius Geantă's work include Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (2 papers) and Legal, Health, Environmental and COVID-19 Challenges (2 papers). Marius Geantă is often cited by papers focused on Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (2 papers) and Legal, Health, Environmental and COVID-19 Challenges (2 papers). Marius Geantă collaborates with scholars based in Romania, Netherlands and Germany. Marius Geantă's co-authors include Octavian Andronic, Henrique Martins, George E. D. Petrescu, Dan Nicolae Păduraru, Adelina-Gabriela Niculescu, Ștefan Busnatu, Alexandru Mihai Grumezescu, Alexandra Bolocan, Viorel Jinga and Angela Brand and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Marius Geantă

14 papers receiving 137 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marius Geantă 43 29 28 20 18 15 138
Herdiantri Sufriyana 29 0.7× 36 1.2× 36 1.3× 26 1.3× 8 0.4× 16 230
Elizabeth Lorenzi 38 0.9× 21 0.7× 41 1.5× 26 1.3× 12 0.7× 13 266
Subhan Ali 35 0.8× 30 1.0× 79 2.8× 11 0.6× 20 1.1× 17 232
Sophie Anne Inès Klopfenstein 60 1.4× 27 0.9× 51 1.8× 47 2.4× 30 1.7× 19 229
Sonish Sivarajkumar 67 1.6× 29 1.0× 84 3.0× 16 0.8× 52 2.9× 14 252
Brian Anderson 53 1.2× 25 0.9× 27 1.0× 20 1.0× 10 0.6× 10 165
Zongming Zhang 118 2.7× 62 2.1× 50 1.8× 18 0.9× 21 1.2× 15 234
Alexandra Urman 40 0.9× 42 1.4× 43 1.5× 17 0.8× 6 0.3× 17 135
Mehr Kashyap 83 1.9× 45 1.6× 72 2.6× 22 1.1× 7 0.4× 11 215
Mohammad Reza Afrash 62 1.4× 60 2.1× 74 2.6× 36 1.8× 13 0.7× 30 249

Countries citing papers authored by Marius Geantă

Since Specialization
Citations

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

Fields of papers citing papers by Marius Geantă

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marius Geantă

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

All Works

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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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