Shubham Goyal

49 total papers · 586 total citations
31 papers, 359 citations indexed

About

Shubham Goyal is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Shubham Goyal has authored 31 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Shubham Goyal's work include Spectroscopy and Chemometric Analyses (5 papers), Anesthesia and Pain Management (3 papers) and Pain Management and Opioid Use (3 papers). Shubham Goyal is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Anesthesia and Pain Management (3 papers) and Pain Management and Opioid Use (3 papers). Shubham Goyal collaborates with scholars based in India, Singapore and United States. Shubham Goyal's co-authors include Saahil Arora, R. S. R. Murthy, Shilpa Sharma, Mamoon Rashid, S. Sangeetha, Balaji Rajendran, B. S. Bindhumadhava, Niladri Chatterjee, Bei Wang and Changting Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Water Air & Soil Pollution.

In The Last Decade

Shubham Goyal

27 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Shubham Goyal	89	81	80	56	44	31	359
T Jayalakshmi	46 0.5×	20 0.2×	107 1.3×	45 0.8×	12 0.3×	15	400
Faizan Ahmed	26 0.3×	120 1.5×	38 0.5×	14 0.3×	16 0.4×	34	322
Eun-Young Jung	90 1.0×	23 0.3×	42 0.5×	2 0.0×	41 0.9×	33	346
SBala Bhaskar	20 0.2×	63 0.8×	16 0.2×	35 0.6×	3 0.1×	25	307
Harmandeep Kaur	14 0.2×	30 0.4×	55 0.7×	6 0.1×	8 0.2×	47	302
Seong-Min Kim	71 0.8×	80 1.0×	147 1.8×	1 0.0×	43 1.0×	14	303
Phuong Dinh Ngo	8 0.1×	31 0.4×	119 1.5×	4 0.1×	7 0.2×	20	375
Siyu Li	25 0.3×	17 0.2×	31 0.4×	1 0.0×	25 0.6×	41	341
Gang Liang	17 0.2×	15 0.2×	27 0.3×	2 0.0×	12 0.3×	48	313
Eduardo Carrillo	39 0.4×	29 0.4×	20 0.3×		37 0.8×	36	359

Countries citing papers authored by Shubham Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Shubham Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shubham Goyal

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