Malabika Pramanik

88 total papers · 592 total citations
29 papers, 226 citations indexed

About

Malabika Pramanik is a scholar working on Applied Mathematics, Mathematical Physics and Geometry and Topology. According to data from OpenAlex, Malabika Pramanik has authored 29 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Applied Mathematics, 17 papers in Mathematical Physics and 8 papers in Geometry and Topology. Recurrent topics in Malabika Pramanik's work include Advanced Harmonic Analysis Research (14 papers), Mathematical Analysis and Transform Methods (8 papers) and Limits and Structures in Graph Theory (7 papers). Malabika Pramanik is often cited by papers focused on Advanced Harmonic Analysis Research (14 papers), Mathematical Analysis and Transform Methods (8 papers) and Limits and Structures in Graph Theory (7 papers). Malabika Pramanik collaborates with scholars based in Canada, United States and South Korea. Malabika Pramanik's co-authors include Izabella Łaba, Andreas Seeger, Allan Greenleaf, Tristan C. Collins, Alexander Nagel, Keith M. Rogers, Wan Tang, Alex Iosevich, Robert Fraser and Yiyu Liang and has published in prestigious journals such as Transactions of the American Mathematical Society, IEEE Transactions on Instrumentation and Measurement and Advances in Mathematics.

In The Last Decade

Malabika Pramanik

26 papers receiving 206 citations

Author Peers

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

Author						Papers	Cites
Malabika Pramanik	142	138	63	40	36	29	226
J. L. Ullman	190 1.3×	105 0.8×	119 1.9×	33 0.8×	72 2.0×	28	327
Emanuel Sperner	113 0.8×	53 0.4×	65 1.0×	12 0.3×	85 2.4×	18	235
Louis Pigno	132 0.9×	128 0.9×	63 1.0×	37 0.9×	26 0.7×	40	256
Richard Penney	102 0.7×	180 1.3×	90 1.4×	12 0.3×	36 1.0×	47	327
J. G. Timourian	101 0.7×	104 0.8×	130 2.1×	10 0.3×	79 2.2×	26	258
Tuomas Orponen	104 0.7×	141 1.0×	68 1.1×	27 0.7×	29 0.8×	40	194
Ákos Magyar	118 0.8×	80 0.6×	54 0.9×	63 1.6×	25 0.7×	26	204
Gerald N. Hile	207 1.5×	85 0.6×	46 0.7×	8 0.2×	121 3.4×	15	298
Qi Zhang	61 0.4×	89 0.6×	172 2.7×	8 0.2×	24 0.7×	29	286
Nir Lev	123 0.9×	112 0.8×	27 0.4×	14 0.3×	36 1.0×	22	184

Countries citing papers authored by Malabika Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Malabika Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malabika Pramanik

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