Gaurav Singh

104 total papers · 986 total citations
69 papers, 636 citations indexed

About

Gaurav Singh is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Gaurav Singh has authored 69 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 18 papers in Computer Networks and Communications and 13 papers in Hardware and Architecture. Recurrent topics in Gaurav Singh's work include Scheduling and Optimization Algorithms (20 papers), Distributed and Parallel Computing Systems (10 papers) and Embedded Systems Design Techniques (9 papers). Gaurav Singh is often cited by papers focused on Scheduling and Optimization Algorithms (20 papers), Distributed and Parallel Computing Systems (10 papers) and Embedded Systems Design Techniques (9 papers). Gaurav Singh collaborates with scholars based in Australia, United States and India. Gaurav Singh's co-authors include Andreas Ernst, Mohan Krishnamoorthy, Jayendran Venkateswaran, Sandeep K. Shukla, Dhananjay Thiruvady, René Weiskircher, Rajesh K. Gupta, Sandy Irani, Ceyda Oǧuz and Manish Dadhich and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Gaurav Singh

59 papers receiving 623 citations

Author Peers

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

Author						Papers	Cites
Gaurav Singh	270	119	113	92	86	69	636
Béla Vízvári	254 0.9×	98 0.8×	69 0.6×	23 0.3×	45 0.5×	70	760
Dechen Zhan	243 0.9×	115 1.0×	50 0.4×	44 0.5×	75 0.9×	88	724
Steven Prestwich	147 0.5×	180 1.5×	193 1.7×	20 0.2×	51 0.6×	77	688
Remzi Seker	294 1.1×	202 1.7×	32 0.3×	22 0.2×	52 0.6×	62	766
Jeffrey D. Tew	183 0.7×	82 0.7×	294 2.6×	21 0.2×	37 0.4×	55	789
Ayoub Bahnasse	142 0.5×	257 2.2×	37 0.3×	18 0.2×	159 1.8×	66	746
Miao Song	130 0.5×	62 0.5×	186 1.6×	30 0.3×	31 0.4×	34	663
Davide Giglio	330 1.2×	42 0.4×	77 0.7×	19 0.2×	68 0.8×	83	760
Wen-Jing Hsu	395 1.5×	200 1.7×	95 0.8×	78 0.8×	16 0.2×	37	623
Jun Li	146 0.5×	251 2.1×	31 0.3×	149 1.6×	51 0.6×	76	710

Countries citing papers authored by Gaurav Singh

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Singh

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