Niki Margari

59 total papers · 836 total citations
40 papers, 500 citations indexed

About

Niki Margari is a scholar working on Epidemiology, Artificial Intelligence and Surgery. According to data from OpenAlex, Niki Margari has authored 40 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Artificial Intelligence and 9 papers in Surgery. Recurrent topics in Niki Margari's work include Cervical Cancer and HPV Research (17 papers), AI in cancer detection (15 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Niki Margari is often cited by papers focused on Cervical Cancer and HPV Research (17 papers), AI in cancer detection (15 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Niki Margari collaborates with scholars based in Greece, United Kingdom and Spain. Niki Margari's co-authors include Abraham Pouliakis, Petros Karakitsos, Ioannis Panayiotides, Christos Meristoudis, John Panayiotides, Maria Haritou, Aris Spathis, Maria Kyrgiou, E Terzakis and Dimitris Koutsouris and has published in prestigious journals such as SHILAP Revista de lepidopterología, BioMed Research International and Clinical Microbiology and Infection.

In The Last Decade

Niki Margari

40 papers receiving 486 citations

Author Peers

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

Author Last Decade Papers Cites
Niki Margari 200 191 109 77 74 40 500
John Panayiotides 230 1.1× 106 0.6× 60 0.6× 61 0.8× 60 0.8× 28 509
Nabil Mansour 111 0.6× 38 0.2× 74 0.7× 23 0.3× 29 0.4× 39 593
Francesca Arezzo 77 0.4× 81 0.4× 127 1.2× 110 1.4× 77 1.0× 65 501
Tianyun Fu 40 0.2× 69 0.4× 96 0.9× 32 0.4× 134 1.8× 21 454
Christine N. Booth 180 0.9× 49 0.3× 40 0.4× 20 0.3× 96 1.3× 66 532
Na Cheng 125 0.6× 50 0.3× 130 1.2× 23 0.3× 143 1.9× 29 564
D. N. Rana 186 0.9× 61 0.3× 16 0.1× 52 0.7× 46 0.6× 36 479
Grace McKee 122 0.6× 74 0.4× 33 0.3× 23 0.3× 31 0.4× 30 476
Chuan Peng 80 0.4× 59 0.3× 167 1.5× 15 0.2× 54 0.7× 30 488
Sudhir Perincheri 35 0.2× 70 0.4× 61 0.6× 16 0.2× 255 3.4× 27 536

Countries citing papers authored by Niki Margari

Since Specialization
Citations

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

Fields of papers citing papers by Niki Margari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niki Margari

This figure shows the co-authorship network connecting the top 25 collaborators of Niki Margari. A scholar is included among the top collaborators of Niki Margari 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 Niki Margari. Niki Margari 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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