Malabika Nayak

27 total papers · 961 total citations
24 papers, 931 citations indexed

About

Malabika Nayak is a scholar working on Electronic, Optical and Magnetic Materials, Inorganic Chemistry and Oncology. According to data from OpenAlex, Malabika Nayak has authored 24 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electronic, Optical and Magnetic Materials, 19 papers in Inorganic Chemistry and 15 papers in Oncology. Recurrent topics in Malabika Nayak's work include Magnetism in coordination complexes (22 papers), Metal-Organic Frameworks: Synthesis and Applications (19 papers) and Metal complexes synthesis and properties (15 papers). Malabika Nayak is often cited by papers focused on Magnetism in coordination complexes (22 papers), Metal-Organic Frameworks: Synthesis and Applications (19 papers) and Metal complexes synthesis and properties (15 papers). Malabika Nayak collaborates with scholars based in India, United Kingdom and France. Malabika Nayak's co-authors include R. Koner, Sasankasekhar Mohanta, Susanta Hazra, Sasankasekhar Mohanta, Judith A. K. Howard, Hazel A. Sparkes, Ülrich Flörke, Arpita Jana, Pascale Lemoine and Ho‐Hsiang Wei and has published in prestigious journals such as Inorganic Chemistry, Crystal Growth & Design and CrystEngComm.

In The Last Decade

Malabika Nayak

24 papers receiving 917 citations

Author Peers

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

Author Last Decade Papers Cites
Malabika Nayak 667 649 542 346 141 24 931
R. Koner 881 1.3× 764 1.2× 625 1.2× 544 1.6× 173 1.2× 32 1.2k
Paramita Kar 559 0.8× 540 0.8× 401 0.7× 326 0.9× 127 0.9× 28 816
Н.В. Гэрбэлэу 587 0.9× 729 1.1× 472 0.9× 341 1.0× 216 1.5× 61 1.0k
Lakshmi Kanta Das 775 1.2× 894 1.4× 872 1.6× 281 0.8× 215 1.5× 25 1.2k
Kishalay Bhar 468 0.7× 565 0.9× 516 1.0× 205 0.6× 207 1.5× 61 862
Yong‐Cong Ou 611 0.9× 768 1.2× 207 0.4× 579 1.7× 117 0.8× 40 981
Flávia C. Machado 495 0.7× 559 0.9× 283 0.5× 425 1.2× 148 1.0× 48 846
Arpita Jana 480 0.7× 420 0.6× 401 0.7× 471 1.4× 123 0.9× 33 902
Yasuhiko Yukawa 580 0.9× 541 0.8× 333 0.6× 532 1.5× 232 1.6× 54 981
A. Igashira-Kamiyama 665 1.0× 679 1.0× 488 0.9× 459 1.3× 241 1.7× 63 1.1k

Countries citing papers authored by Malabika Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Malabika Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malabika Nayak

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