Prashant M. Ambad

1.3k total citations · 1 hit paper
8 papers, 855 citations indexed

About

Prashant M. Ambad is a scholar working on Safety, Risk, Reliability and Quality, Strategy and Management and Management Information Systems. According to data from OpenAlex, Prashant M. Ambad has authored 8 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Safety, Risk, Reliability and Quality, 4 papers in Strategy and Management and 2 papers in Management Information Systems. Recurrent topics in Prashant M. Ambad's work include Reliability and Maintenance Optimization (5 papers), Technology Assessment and Management (3 papers) and Quality and Supply Management (2 papers). Prashant M. Ambad is often cited by papers focused on Reliability and Maintenance Optimization (5 papers), Technology Assessment and Management (3 papers) and Quality and Supply Management (2 papers). Prashant M. Ambad collaborates with scholars based in India and United Kingdom. Prashant M. Ambad's co-authors include Santosh Bhosle, Saurabh Vaidya and Makarand S. Kulkarni and has published in prestigious journals such as International Journal of Quality & Reliability Management, Benchmarking An International Journal and Materials Today Proceedings.

In The Last Decade

Prashant M. Ambad

7 papers receiving 813 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Industry 4.0 – A Glimpse

2018 821 citations Saurabh Vaidya, Prashant M. Ambad et al. Procedia Manufacturing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Prashant M. Ambad India	5	526	152	151	86	81	8	855
Vítor Alcácer Portugal	3	507 1.0×	137 0.9×	126 0.8×	58 0.7×	68 0.8×	4	742
Emre Çevikcan Türkiye	16	577 1.1×	202 1.3×	171 1.1×	88 1.0×	64 0.8×	42	1.1k
Liu Tai-gang China	3	564 1.1×	161 1.1×	129 0.9×	93 1.1×	91 1.1×	4	840
Ji Yeon Son South Korea	4	842 1.6×	163 1.1×	196 1.3×	64 0.7×	68 0.8×	7	1.1k
Mathias Schmitt Germany	5	709 1.3×	170 1.1×	103 0.7×	64 0.7×	50 0.6×	10	983
Hyoung Seok Kang South Korea	8	806 1.5×	174 1.1×	240 1.6×	51 0.6×	66 0.8×	16	1.1k
Santosh Bhosle India	9	527 1.0×	144 0.9×	136 0.9×	85 1.0×	82 1.0×	23	1.0k
José Antonio Marmolejo-Saucedo Mexico	19	433 0.8×	196 1.3×	226 1.5×	102 1.2×	81 1.0×	89	1.1k
Saurabh Vaidya India	5	522 1.0×	142 0.9×	134 0.9×	84 1.0×	84 1.0×	7	860

Countries citing papers authored by Prashant M. Ambad

Since Specialization

Citations

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

Fields of papers citing papers by Prashant M. Ambad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashant M. Ambad

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant M. Ambad. A scholar is included among the top collaborators of Prashant M. Ambad 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 Prashant M. Ambad. Prashant M. Ambad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Bhosle, Santosh, et al.. (2023). A Review of Six Sigma Approach to Enhance Performance in Manufacturing Industries. Advances in computer science research. 654–663.

2.

Ambad, Prashant M., et al.. (2022). Diabetic retinopathy classifier with convolution neural network. Materials Today Proceedings. 72. 1765–1773. 2 indexed citations

3.

Bhosle, Santosh, et al.. (2018). Reliability Improvement for TSR Machine of Banburry Mixer using Plant Optimization Process. Procedia Manufacturing. 20. 440–445. 4 indexed citations

4.

Vaidya, Saurabh, Prashant M. Ambad, & Santosh Bhosle. (2018). Industry 4.0 – A Glimpse. Procedia Manufacturing. 20. 233–238. 821 indexed citations breakdown →

5.

Ambad, Prashant M. & Makarand S. Kulkarni. (2017). A goal programming approach for multi-objective warranty optimization. International Journal of Systems Assurance Engineering and Management. 8 indexed citations

6.

Ambad, Prashant M. & Makarand S. Kulkarni. (2015). A warranty based bilateral multi-issue negotiation approach. Benchmarking An International Journal. 22(7). 1247–1280. 3 indexed citations

7.

Ambad, Prashant M. & Makarand S. Kulkarni. (2015). An attractiveness index based approach for warranty optimization. International Journal of Quality & Reliability Management. 32(4). 415–431. 6 indexed citations

8.

Ambad, Prashant M. & Makarand S. Kulkarni. (2013). A methodology for design for warranty with focus on reliability and warranty policies. Journal of Advances in Management Research. 10(1). 139–155. 11 indexed citations

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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