С. С. Самби

16 total papers · 521 total citations
13 papers, 438 citations indexed

About

С. С. Самби is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Geometry and Topology. According to data from OpenAlex, С. С. Самби has authored 13 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 8 papers in Organic Chemistry and 5 papers in Geometry and Topology. Recurrent topics in С. С. Самби's work include Computational Drug Discovery Methods (10 papers), Graph theory and applications (5 papers) and Synthesis and biological activity (4 papers). С. С. Самби is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Graph theory and applications (5 papers) and Synthesis and biological activity (4 papers). С. С. Самби collaborates with scholars based in India, Portugal and United States. С. С. Самби's co-authors include Pankaj Pandey, S. K. Sharma, А. К. Мадан, Surendra Kumar Sharma, Anil Kumar Madan, Sunil Gupta, Balasubramanian Narasimhan and Pradeep Kumar and has published in prestigious journals such as Bioorganic & Medicinal Chemistry, Journal of environmental chemical engineering and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

С. С. Самби

12 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
С. С. Самби	198	173	152	73	53	13	438
Mirjana Brdar	197 1.0×	73 0.4×	61 0.4×	28 0.4×	48 0.9×	24	429
Mohammad Danish Khan	136 0.7×	67 0.4×	16 0.1×	33 0.5×	28 0.5×	13	426
Suparna Saha	110 0.6×	23 0.1×	21 0.1×	7 0.1×	21 0.4×	18	484
Man Yang	71 0.4×	218 1.3×	57 0.4×	68 0.9×	9 0.2×	20	421
Richard A. Barcock	9 0.0×	173 1.0×	93 0.6×	9 0.1×	7 0.1×	14	435
M. Priyadharshini	285 1.4×	133 0.8×	5 0.0×	6 0.1×	69 1.3×	9	382
Xiaoyi Zhang	66 0.3×	139 0.8×	19 0.1×	1 0.0×	32 0.6×	21	384
Yanting Jiang	134 0.7×	57 0.3×	26 0.2×		39 0.7×	10	399
Shubhi Jain	175 0.9×	193 1.1×	10 0.1×		35 0.7×	17	479
Tanja P. Brdarić	63 0.3×	64 0.4×	21 0.1×		24 0.5×	24	406

Countries citing papers authored by С. С. Самби

Since Specialization

Citations

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

Fields of papers citing papers by С. С. Самби

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of С. С. Самби

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