Anshuman Das

1.2k total citations
59 papers, 903 citations indexed

About

Anshuman Das is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Anshuman Das has authored 59 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 26 papers in Electrical and Electronic Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Anshuman Das's work include Advanced machining processes and optimization (37 papers), Advanced Machining and Optimization Techniques (26 papers) and Advanced Surface Polishing Techniques (14 papers). Anshuman Das is often cited by papers focused on Advanced machining processes and optimization (37 papers), Advanced Machining and Optimization Techniques (26 papers) and Advanced Surface Polishing Techniques (14 papers). Anshuman Das collaborates with scholars based in India, Türkiye and Egypt. Anshuman Das's co-authors include Sudhansu Ranjan Das, Saroj Kumar Patel, Smita Padhan, Bibhuti Bhusan Biswal, Bharat B. Biswal, Mohammad Rafıghı, Amlana Panda, Ashish Pradhan, Ahmed Mohamed Mahmoud Ibrahim and Ammar H. Elsheikh and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Materials and Measurement.

In The Last Decade

Anshuman Das

57 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anshuman Das India 19 789 486 278 202 171 59 903
Raviraj Shetty India 15 885 1.1× 298 0.6× 213 0.8× 178 0.9× 248 1.5× 88 1.0k
Alper Uysal Türkiye 15 690 0.9× 439 0.9× 278 1.0× 104 0.5× 94 0.5× 72 754
Sezer Morkavuk Türkiye 18 854 1.1× 472 1.0× 388 1.4× 226 1.1× 110 0.6× 25 988
N. Muthukrishnan India 18 945 1.2× 605 1.2× 400 1.4× 87 0.4× 88 0.5× 34 1.1k
Ali Mkaddem France 15 733 0.9× 291 0.6× 345 1.2× 327 1.6× 135 0.8× 43 850
Muhammad Asad Ali Pakistan 19 813 1.0× 600 1.2× 442 1.6× 95 0.5× 201 1.2× 71 1.0k
P.K. Brahmankar India 17 1.1k 1.4× 701 1.4× 610 2.2× 155 0.8× 218 1.3× 39 1.3k
K. Shanmugam India 17 815 1.0× 221 0.5× 161 0.6× 175 0.9× 309 1.8× 44 1.0k
Diptikanta Das India 16 779 1.0× 306 0.6× 191 0.7× 111 0.5× 166 1.0× 86 904

Countries citing papers authored by Anshuman Das

Since Specialization
Citations

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

Fields of papers citing papers by Anshuman Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anshuman Das

This figure shows the co-authorship network connecting the top 25 collaborators of Anshuman Das. A scholar is included among the top collaborators of Anshuman 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 Anshuman Das. Anshuman 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.
Somani, Nalin, et al.. (2024). Microstructural and mechanical properties of Al-Al2O3 micro and nanocomposite fabricated by stir casting. Advances in Materials and Processing Technologies. 1–18. 1 indexed citations
2.
Das, Anshuman, Anuj Kumar, Smita Padhan, et al.. (2024). Hard turning of AISI H10 steel using AlTiN and AlTiSiN coated carbide tools: comparative machining performance evaluation and economic assessment. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 46(5). 5 indexed citations
3.
Padhan, Smita, Anshuman Das, & Sudhansu Ranjan Das. (2024). Analysis, modelling and optimization on tool vibration in machining of nitronic 60 with SiAlON ceramic tool. Advances in Materials and Processing Technologies. 11(4). 3926–3939. 4 indexed citations
4.
Das, Anshuman, et al.. (2024). Comparative performance evaluation between ta-C and TiAlCrN coated tools during milling of additively manufactured CFRP composite. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(3). 1154–1170. 1 indexed citations
7.
8.
Somani, Nalin, Y.K. Tyagi, Nitin Kumar Gupta, & Anshuman Das. (2023). CHARACTERIZATION AND PERFORMANCE IMPROVEMENT OF SiC-REINFORCED Cu-MATRIX-BASED COMPOSITES AS ELECTRODE FOR EDM MACHINING. Surface Review and Letters. 30(5). 9 indexed citations
9.
Das, Anshuman, et al.. (2022). Comparative performance evaluation between uncoated and TiAlN + AlCrN coated carbide tools in hard turning of AISI H11 steel. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(3). 1029–1041. 14 indexed citations
10.
Das, Anshuman, et al.. (2022). Hard turning of AISI D6 steel with recently developed HSN2-TiAlxN and conventional TiCN coated carbide tools: comparative machinability investigation and sustainability assessment. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(4). 26 indexed citations
11.
Das, Anshuman, Smita Padhan, Sudhansu Ranjan Das, et al.. (2021). Performance Assessment and Chip Morphology Evaluation of Austenitic Stainless Steel under Sustainable Machining Conditions. Metals. 11(12). 1931–1931. 40 indexed citations
13.
Das, Anshuman, et al.. (2019). Performance appraisal of various nanofluids during hard machining of AISI 4340 steel. Journal of Manufacturing Processes. 46. 248–270. 57 indexed citations
14.
Das, Anshuman, Sudhansu Ranjan Das, Saroj Kumar Patel, & Bibhuti Bhusan Biswal. (2019). Effect of MQL and nanofluid on the machinability aspects of hardened alloy steel. Machining Science and Technology. 24(2). 291–320. 45 indexed citations
15.
Das, Anshuman, et al.. (2016). Comparative Assessment on Machinability Aspects of AISI 4340 Alloy Steel Using Uncoated Carbide and Coated Cermet Inserts During Hard Turning. Arabian Journal for Science and Engineering. 41(11). 4531–4552. 32 indexed citations
16.
Das, Anshuman, et al.. (2010). Study on fiber openness using image processing technique. Journal of the Textile Institute. 101(5). 399–413. 1 indexed citations
17.
Ishtiaque, S. M. & Anshuman Das. (2003). Characterization of grey and dyed cotton fibres as well as waste at different stages of rotor spinning process. Indian Journal of Fibre & Textile Research. 28(1). 65–70. 5 indexed citations
18.
Ishtiaque, S. M., et al.. (2003). Properties of woven fabrics containing core-sheath DREF-III yarn in weft. Indian Journal of Fibre & Textile Research. 28(3). 260–264. 5 indexed citations
19.
Ishtiaque, S. M. & Anshuman Das. (2003). Influence of moisture content and linear density of feed sliver on running performance and yarn quality during rotor spinning of dyed cotton. Indian Journal of Fibre & Textile Research. 28(2). 177–181. 2 indexed citations
20.
Ghosh-Dastidar, P., Biswendu B. Goswami, Anshuman Das, Partha Pratim Das, & N.K. Gupta. (1981). Vaccinia viral core inhibits Met-tRNAf·40S initiation complex formation with physiological mRNAs. Biochemical and Biophysical Research Communications. 99(3). 946–953. 7 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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