Rajit Gadh

27 total papers · 795 total citations
21 papers, 501 citations indexed

About

Rajit Gadh is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Rajit Gadh has authored 21 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 5 papers in Automotive Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Rajit Gadh's work include Manufacturing Process and Optimization (11 papers), RFID technology advancements (4 papers) and Advanced Numerical Analysis Techniques (4 papers). Rajit Gadh is often cited by papers focused on Manufacturing Process and Optimization (11 papers), RFID technology advancements (4 papers) and Advanced Numerical Analysis Techniques (4 papers). Rajit Gadh collaborates with scholars based in United States, India and Denmark. Rajit Gadh's co-authors include Hari Srinivasan, Fritz B. Prinz, Chi‐Cheng Chu, B. S. Prabhu, Sonveer Singh, Sanjay Agrawal, Behnam Khaki, Armin Ghasem Azar, Rune Hylsberg Jacobsen and Hamidreza Nazaripouya and has published in prestigious journals such as Proceedings of the IEEE, Energy Conversion and Management and IEEE Transactions on Industrial Informatics.

In The Last Decade

Rajit Gadh

21 papers receiving 469 citations

Author Peers

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

Author						Papers	Cites
Rajit Gadh	268	105	104	85	85	21	501
T. Szécsi	216 0.8×	184 1.8×	36 0.3×	104 1.2×	67 0.8×	21	573
Chan Qiu	188 0.7×	183 1.7×	54 0.5×	45 0.5×	30 0.4×	50	578
Tianyang Dong	165 0.6×	39 0.4×	46 0.4×	67 0.8×	30 0.4×	43	463
Lorenzo Damiani	160 0.6×	87 0.8×	63 0.6×	62 0.7×	33 0.4×	37	447
Franco Failli	315 1.2×	106 1.0×	62 0.6×	65 0.8×	9 0.1×	16	464
R. Parkin	101 0.4×	167 1.6×	32 0.3×	30 0.4×	40 0.5×	26	469
Sebastian Haag	399 1.5×	99 0.9×	36 0.3×	25 0.3×	45 0.5×	31	608
Saber Darmoul	177 0.7×	49 0.5×	63 0.6×	42 0.5×	32 0.4×	47	608
Jie Li	337 1.3×	97 0.9×	58 0.6×	38 0.4×	48 0.6×	32	509
Bo Wu	255 1.0×	154 1.5×	63 0.6×	102 1.2×	33 0.4×	34	486

Countries citing papers authored by Rajit Gadh

Since Specialization

Citations

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

Fields of papers citing papers by Rajit Gadh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajit Gadh

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