Chander Parkash

31 total papers · 833 total citations
24 papers, 695 citations indexed

About

Chander Parkash is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Chander Parkash has authored 24 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 10 papers in Mechanical Engineering and 8 papers in Mechanics of Materials. Recurrent topics in Chander Parkash's work include Machine Fault Diagnosis Techniques (19 papers), Fault Detection and Control Systems (8 papers) and Engineering Diagnostics and Reliability (7 papers). Chander Parkash is often cited by papers focused on Machine Fault Diagnosis Techniques (19 papers), Fault Detection and Control Systems (8 papers) and Engineering Diagnostics and Reliability (7 papers). Chander Parkash collaborates with scholars based in India, China and Poland. Chander Parkash's co-authors include Anil Kumar, Jiawei Xiang, Hesheng Tang, Govind Vashishtha, Yuqing Zhou, Pradeep Kundu, Adam Głowacz, Rajesh Kumar, Rajendra Kumar Shukla and Weifang Sun and has published in prestigious journals such as Scientific Reports, Reliability Engineering & System Safety and Knowledge-Based Systems.

In The Last Decade

Chander Parkash

21 papers receiving 677 citations

Author Peers

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

Author						Papers	Cites
Chander Parkash	536	356	155	84	84	24	695
Joon Ha Jung	478 0.9×	297 0.8×	169 1.1×	62 0.7×	48 0.6×	25	640
Alexander E. Prosvirin	505 0.9×	334 0.9×	182 1.2×	51 0.6×	44 0.5×	21	663
Muhammad Sohaib	450 0.8×	303 0.9×	190 1.2×	139 1.7×	61 0.7×	37	725
Jianhua Zhong	516 1.0×	313 0.9×	167 1.1×	95 1.1×	64 0.8×	39	735
Chao Yang	465 0.9×	227 0.6×	141 0.9×	76 0.9×	101 1.2×	23	693
Zuozhou Pan	591 1.1×	381 1.1×	192 1.2×	61 0.7×	45 0.5×	28	744
Liang Ma	438 0.8×	215 0.6×	112 0.7×	59 0.7×	79 0.9×	30	599
Dingcheng Zhang	459 0.9×	316 0.9×	147 0.9×	105 1.3×	108 1.3×	43	742
Prasanna Tamilselvan	424 0.8×	217 0.6×	139 0.9×	57 0.7×	81 1.0×	14	606
Myeongsu Kang	523 1.0×	302 0.8×	155 1.0×	38 0.5×	74 0.9×	16	668

Countries citing papers authored by Chander Parkash

Since Specialization

Citations

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

Fields of papers citing papers by Chander Parkash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chander Parkash

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