Anupam Das

516 total citations
27 papers, 376 citations indexed

About

Anupam Das is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering. According to data from OpenAlex, Anupam Das has authored 27 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Control and Systems Engineering, 12 papers in Statistics, Probability and Uncertainty and 11 papers in Mechanical Engineering. Recurrent topics in Anupam Das's work include Fault Detection and Control Systems (14 papers), Advanced Statistical Process Monitoring (12 papers) and Mineral Processing and Grinding (11 papers). Anupam Das is often cited by papers focused on Fault Detection and Control Systems (14 papers), Advanced Statistical Process Monitoring (12 papers) and Mineral Processing and Grinding (11 papers). Anupam Das collaborates with scholars based in India, Thailand and United States. Anupam Das's co-authors include Himangshu Paul, Fredric William Swierczek, Uma Kumar, Vinod Kumar, Vinod Kumar, J. Maiti, Mesbahuddin Chowdhury, Sunil Kumar Suman, Tritos Laosirihongthong and Subhas Chandra Mondal and has published in prestigious journals such as International Journal of Production Research, Computers & Industrial Engineering and International Journal of Quality & Reliability Management.

In The Last Decade

Anupam Das

25 papers receiving 333 citations

Author Peers

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

Author Last Decade Papers Cites
Anupam Das 198 190 74 47 46 27 376
R.R. Lakhe 263 1.3× 226 1.2× 56 0.8× 39 0.8× 5 0.1× 41 404
George C. Hadjinicola 143 0.7× 88 0.5× 45 0.6× 62 1.3× 12 0.3× 18 397
Alireza Arab 56 0.3× 131 0.7× 51 0.7× 10 0.2× 40 0.9× 17 353
Ya-Ti Lin 91 0.5× 199 1.0× 16 0.2× 36 0.8× 26 0.6× 9 359
Safar Fazli 67 0.3× 87 0.5× 58 0.8× 73 1.6× 19 0.4× 24 340
Beatriz Blanco 107 0.5× 95 0.5× 54 0.7× 20 0.4× 4 0.1× 40 319
Lena Silbermayr 221 1.1× 216 1.1× 63 0.9× 46 1.0× 11 0.2× 15 338
Batoul Modarress 280 1.4× 205 1.1× 27 0.4× 23 0.5× 10 0.2× 18 439
Mark Treleven 291 1.5× 203 1.1× 43 0.6× 31 0.7× 20 0.4× 15 644
G.A. Bohoris 142 0.7× 111 0.6× 25 0.3× 8 0.2× 13 0.3× 27 339

Countries citing papers authored by Anupam Das

Since Specialization
Citations

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

Fields of papers citing papers by Anupam Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupam Das

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

All Works

20 of 20 papers shown
1.
Das, Anupam, et al.. (2023). A stage-wise non-Gaussian statistical process control strategy. Engineering Research Express. 5(1). 15069–15069. 1 indexed citations
2.
Das, Anupam, et al.. (2023). Development of a Multi-block Modified Independent Component Analysis based Process Monitoring Strategy. Arabian Journal for Science and Engineering. 49(2). 1843–1854. 1 indexed citations
3.
Das, Anupam, et al.. (2022). A nonlinear process monitoring strategy with a 2-phase fault diagnosis approach. Engineering Research Express. 4(2). 25015–25015. 2 indexed citations
4.
Das, Anupam, et al.. (2021). A nonlinear process monitoring strategy for a Metal Forming process. Materials Today Proceedings. 59. 368–372. 4 indexed citations
5.
Das, Anupam, et al.. (2020). A non-linear statistical process monitoring strategy – A case study of a steel making shop. Materials Today Proceedings. 41. 1107–1109.
6.
Das, Anupam. (2020). Multivariate statistical monitoring strategy for an automotive manufacturing part facility. Materials Today Proceedings. 27. 2914–2917. 1 indexed citations
7.
Das, Anupam & Sunil Kumar Suman. (2018). Monitoring of an ingot making facility via principal component analysis and its variants. International Journal of Productivity and Quality Management. 26(1). 74–74. 2 indexed citations
8.
Das, Anupam, et al.. (2017). Development of multivariate process monitoring strategy for a typical process industry. International Journal of Productivity and Quality Management. 22(1). 1–1. 3 indexed citations
9.
Das, Anupam, et al.. (2017). Development of multivariate process monitoring strategy for a typical process industry. International Journal of Productivity and Quality Management. 22(1). 1–1. 1 indexed citations
10.
Das, Anupam, et al.. (2016). Framework-based on SQC and DMAIC to monitor die casting process parameters. International Journal of Industrial and Systems Engineering. 23(2). 204–204. 2 indexed citations
11.
Das, Anupam, et al.. (2016). An ontological framework for tele-monitoring in e-healthcare. 1(4). 293–293. 1 indexed citations
12.
Das, Anupam, et al.. (2015). A metallic strain gauge-based experimental study of an analytic method for detection of urinary bladder dysfunction. International Journal of Biomedical Engineering and Technology. 17(1). 83–83. 2 indexed citations
13.
Das, Anupam, et al.. (2012). Process monitoring and fault detection strategies: a review. International Journal of Quality & Reliability Management. 29(7). 720–752. 32 indexed citations
14.
Das, Anupam, et al.. (2011). Unrealized Potential of Sensor in Precision Agriculture. International Journal of Agriculture Environment and Biotechnology. 4(1). 99–102. 1 indexed citations
15.
Das, Anupam, Vinod Kumar, & Uma Kumar. (2011). The role of leadership competencies for implementing TQM. International Journal of Quality & Reliability Management. 28(2). 195–219. 85 indexed citations
16.
Das, Anupam, et al.. (2010). Retail service quality in context of CIS countries. International Journal of Quality & Reliability Management. 27(6). 658–683. 50 indexed citations
17.
Das, Anupam, et al.. (2009). A hierarchical process monitoring strategy for a serial multi-stage manufacturing system. International Journal of Production Research. 48(8). 2459–2479. 4 indexed citations
18.
Maiti, J., et al.. (2008). Process monitoring strategy for a steel making shop: a partial least squares regression-based approach. International Journal of Productivity and Quality Management. 3(3). 340–340. 4 indexed citations
19.
Das, Anupam, Himangshu Paul, Fredric William Swierczek, & Tritos Laosirihongthong. (2006). A MEASUREMENT INSTRUMENT FOR TQM IMPLEMENTATION IN THE THAI MANUFACTURING INDUSTRY. International Journal of Innovation and Technology Management. 3(4). 361–377. 16 indexed citations
20.
Das, Anupam, et al.. (2006). Operations Timeline for Tsat Planning. 1–7.

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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