Shashank Agrawal

119 total papers · 1.7k total citations
45 papers, 440 citations indexed

About

Shashank Agrawal is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Surgery. According to data from OpenAlex, Shashank Agrawal has authored 45 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Artificial Intelligence and 7 papers in Surgery. Recurrent topics in Shashank Agrawal's work include Cryptography and Data Security (7 papers), Kidney Stones and Urolithiasis Treatments (7 papers) and Complexity and Algorithms in Graphs (4 papers). Shashank Agrawal is often cited by papers focused on Cryptography and Data Security (7 papers), Kidney Stones and Urolithiasis Treatments (7 papers) and Complexity and Algorithms in Graphs (4 papers). Shashank Agrawal collaborates with scholars based in India, United States and United Kingdom. Shashank Agrawal's co-authors include Melissa Chase, Pratyay Mukherjee, Takashi Hamada, Payman Mohassel, Dário Vieira, Shinsuke Sadamori, Hiroki Nikawa, Takahisa Yamamoto, Santosh Kumar Vishvakarma and Peihan Miao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and European Radiology.

In The Last Decade

Shashank Agrawal

34 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Shashank Agrawal	224	154	76	64	47	45	440
Christophe Doche	73 0.3×	63 0.4×	28 0.4×	21 0.3×	11 0.2×	30	417
Manjeet Singh	93 0.4×	68 0.4×	39 0.5×	36 0.6×	7 0.1×	78	376
Marsa Gholamzadeh	82 0.4×	50 0.3×	14 0.2×	24 0.4×	17 0.4×	35	417
Kazuo Goda	35 0.2×	39 0.3×	31 0.4×	66 1.0×	19 0.4×	62	384
Smaranda Belciug	201 0.9×	24 0.2×	14 0.2×	15 0.2×	23 0.5×	40	447
Victor Chukwudi Osamor	97 0.4×	82 0.5×	9 0.1×	76 1.2×	8 0.2×	44	444
Dennis Toddenroth	159 0.7×	78 0.5×	21 0.3×	52 0.8×	7 0.1×	30	443
Pantelis Natsiavas	51 0.2×	43 0.3×	165 2.2×	21 0.3×	29 0.6×	47	470
Abdullah Alanazi	100 0.4×	28 0.2×	21 0.3×	20 0.3×	18 0.4×	51	420
Inês Dutra	156 0.7×	85 0.6×	31 0.4×	115 1.8×	2 0.0×	65	384

Countries citing papers authored by Shashank Agrawal

Since Specialization

Citations

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

Fields of papers citing papers by Shashank Agrawal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Agrawal

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