Sukumar Das Adhikari

68 total papers · 440 total citations
38 papers, 220 citations indexed

About

Sukumar Das Adhikari is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Geometry and Topology. According to data from OpenAlex, Sukumar Das Adhikari has authored 38 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Algebra and Number Theory, 16 papers in Discrete Mathematics and Combinatorics and 15 papers in Geometry and Topology. Recurrent topics in Sukumar Das Adhikari's work include Analytic Number Theory Research (16 papers), Limits and Structures in Graph Theory (14 papers) and graph theory and CDMA systems (7 papers). Sukumar Das Adhikari is often cited by papers focused on Analytic Number Theory Research (16 papers), Limits and Structures in Graph Theory (14 papers) and graph theory and CDMA systems (7 papers). Sukumar Das Adhikari collaborates with scholars based in India, China and Canada. Sukumar Das Adhikari's co-authors include Yong-Gao Chen, N. Saradha, Francesco Pappalardi, R. Balasubramanian, John Friedlander, Sergeĭ Konyagin, T. N. Shorey, R. Tijdeman, David J. Grynkiewicz and Zhi‐Wei Sun and has published in prestigious journals such as Mathematics of Computation, Discrete Mathematics and Journal of Combinatorial Theory Series A.

In The Last Decade

Sukumar Das Adhikari

33 papers receiving 196 citations

Author Peers

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

Author						Papers	Cites
Sukumar Das Adhikari	117	105	70	65	63	38	220
Min Tang	149 1.3×	132 1.3×	108 1.5×	28 0.4×	58 0.9×	58	304
David P. Roselle	186 1.6×	118 1.1×	44 0.6×	44 0.7×	100 1.6×	32	320
Francesco Pappalardi	93 0.8×	161 1.5×	115 1.6×	54 0.8×	36 0.6×	43	245
Raul Cordovil	106 0.9×	41 0.4×	56 0.8×	62 1.0×	132 2.1×	30	223
Laurent Habsieger	89 0.8×	92 0.9×	51 0.7×	33 0.5×	40 0.6×	37	188
Shaofang Hong	79 0.7×	160 1.5×	83 1.2×	57 0.9×	56 0.9×	43	236
Lê Anh Vinh	152 1.3×	52 0.5×	63 0.9×	32 0.5×	30 0.5×	46	184
Yufei Zhao	156 1.3×	49 0.5×	104 1.5×	24 0.4×	123 2.0×	46	227
Naim Tuğlu	89 0.8×	94 0.9×	75 1.1×	26 0.4×	120 1.9×	31	314
Hansraj Gupta	95 0.8×	110 1.0×	42 0.6×	31 0.5×	46 0.7×	23	206

Countries citing papers authored by Sukumar Das Adhikari

Since Specialization

Citations

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

Fields of papers citing papers by Sukumar Das Adhikari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukumar Das Adhikari. 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 Sukumar Das Adhikari. The network helps show where Sukumar Das Adhikari may publish in the future.

Co-authorship network of co-authors of Sukumar Das Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Sukumar Das Adhikari. A scholar is included among the top collaborators of Sukumar Das Adhikari 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 Sukumar Das Adhikari. Sukumar Das Adhikari 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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