Pramod M. Padole

56 total papers · 581 total citations
34 papers, 420 citations indexed

About

Pramod M. Padole is a scholar working on Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Pramod M. Padole has authored 34 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 9 papers in Mechanics of Materials and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Pramod M. Padole's work include Advanced machining processes and optimization (6 papers), Advanced Machining and Optimization Techniques (5 papers) and Lubricants and Their Additives (4 papers). Pramod M. Padole is often cited by papers focused on Advanced machining processes and optimization (6 papers), Advanced Machining and Optimization Techniques (5 papers) and Lubricants and Their Additives (4 papers). Pramod M. Padole collaborates with scholars based in India and United States. Pramod M. Padole's co-authors include Atul B. Andhare, Ashwinkumar S. Dhoble, C. M. Manjunatha, Yuvarajan Devarajan, Rohit S. Khedkar, Suresh Vellaiyan, Thandavamoorthy Raja, Yuvarajan Devarajan, Sunil Goyal and Weifei Hu and has published in prestigious journals such as Solar Energy, Mechanism and Machine Theory and Textile Research Journal.

In The Last Decade

Pramod M. Padole

30 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Pramod M. Padole	245	123	114	84	74	34	420
N.A. Mardi	262 1.1×	76 0.6×	88 0.8×	121 1.4×	88 1.2×	32	459
Jie Jiang	258 1.1×	58 0.5×	131 1.1×	167 2.0×	61 0.8×	29	417
Guiqiu Song	233 1.0×	113 0.9×	43 0.4×	28 0.3×	44 0.6×	34	422
Rolf Bertrand Schroeter	389 1.6×	139 1.1×	163 1.4×	160 1.9×	108 1.5×	29	458
Kai Zhao	223 0.9×	71 0.6×	61 0.5×	31 0.4×	116 1.6×	34	386
Hakan Gürün	287 1.2×	123 1.0×	60 0.5×	142 1.7×	65 0.9×	37	405
Shuai Yang	313 1.3×	114 0.9×	105 0.9×	41 0.5×	152 2.1×	41	481
Beatriz de Agustina	318 1.3×	45 0.4×	158 1.4×	88 1.0×	28 0.4×	40	390
Gil Ho Yoon	130 0.5×	100 0.8×	66 0.6×	206 2.5×	82 1.1×	48	430
J. Gryzagoridis	134 0.5×	97 0.8×	63 0.6×	87 1.0×	8 0.1×	58	375

Countries citing papers authored by Pramod M. Padole

Since Specialization

Citations

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

Fields of papers citing papers by Pramod M. Padole

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pramod M. Padole. 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 Pramod M. Padole. The network helps show where Pramod M. Padole may publish in the future.

Co-authorship network of co-authors of Pramod M. Padole

This figure shows the co-authorship network connecting the top 25 collaborators of Pramod M. Padole. A scholar is included among the top collaborators of Pramod M. Padole 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 Pramod M. Padole. Pramod M. Padole 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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