Sudhansu Ranjan Das

2.5k total citations
92 papers, 1.8k citations indexed

About

Sudhansu Ranjan Das is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Sudhansu Ranjan Das has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Mechanical Engineering, 57 papers in Electrical and Electronic Engineering and 41 papers in Biomedical Engineering. Recurrent topics in Sudhansu Ranjan Das's work include Advanced machining processes and optimization (70 papers), Advanced Machining and Optimization Techniques (54 papers) and Advanced Surface Polishing Techniques (41 papers). Sudhansu Ranjan Das is often cited by papers focused on Advanced machining processes and optimization (70 papers), Advanced Machining and Optimization Techniques (54 papers) and Advanced Surface Polishing Techniques (41 papers). Sudhansu Ranjan Das collaborates with scholars based in India, Egypt and Türkiye. Sudhansu Ranjan Das's co-authors include Debabrata Dhupal, Anshuman Das, Amlana Panda, Smita Padhan, Saroj Kumar Patel, Amaresh Kumar, Ammar H. Elsheikh, Pankaj Charan Jena, Bibhuti Bhusan Biswal and T. Muthuramalingam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Wear and Materials.

In The Last Decade

Sudhansu Ranjan Das

89 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudhansu Ranjan Das India 26 1.6k 1.0k 703 318 290 92 1.8k
Manu Dogra India 24 2.0k 1.3× 1.2k 1.2× 758 1.1× 320 1.0× 366 1.3× 43 2.1k
D. Chakradhar India 25 1.6k 1.1× 1.0k 1.0× 651 0.9× 162 0.5× 441 1.5× 68 1.8k
Mohd Danish Saudi Arabia 24 1.2k 0.8× 778 0.8× 516 0.7× 223 0.7× 313 1.1× 70 1.6k
Ulvi Şeker Türkiye 21 1.4k 0.9× 735 0.7× 650 0.9× 264 0.8× 291 1.0× 89 1.6k
Jinming Zhou Sweden 25 1.6k 1.0× 692 0.7× 769 1.1× 366 1.2× 516 1.8× 101 1.8k
Muammer Nalbant Türkiye 15 1.6k 1.0× 938 0.9× 702 1.0× 190 0.6× 378 1.3× 25 1.8k
Wisley Falco Sales Brazil 22 1.5k 1.0× 838 0.8× 653 0.9× 244 0.8× 313 1.1× 41 1.7k
Kalipada Maity India 26 1.8k 1.2× 1.4k 1.4× 935 1.3× 219 0.7× 296 1.0× 127 2.1k
Satish Chinchanikar India 21 1.4k 0.9× 713 0.7× 563 0.8× 311 1.0× 258 0.9× 84 1.6k
Jay Vora India 29 1.4k 0.9× 837 0.8× 398 0.6× 113 0.4× 458 1.6× 84 1.9k

Countries citing papers authored by Sudhansu Ranjan Das

Since Specialization
Citations

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

Fields of papers citing papers by Sudhansu Ranjan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhansu Ranjan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Sudhansu Ranjan Das. A scholar is included among the top collaborators of Sudhansu Ranjan 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 Sudhansu Ranjan Das. Sudhansu Ranjan 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.
Babu, M. Naresh, et al.. (2024). The Behaviour of carbon quantum dots and cryogenic cooling in turning of super duplex F 53 steel. Wear. 558-559. 205575–205575. 2 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.
Sharma, Priyaranjan, et al.. (2023). Surface characterization of SAE 304 after WED cutting: an experimental investigation and optimization. Journal of Materials Research and Technology. 23. 5723–5732. 5 indexed citations
5.
Jain, Neelesh Kumar, et al.. (2023). Investigation on the Performance of Coated Carbide Tool during Dry Turning of AISI 4340 Alloy Steel. Materials. 16(2). 668–668. 20 indexed citations
7.
Dhupal, Debabrata, et al.. (2023). GENERATION OF EFFUSION HOLES ON ULTRA-HIGH TEMPERATURE ALLOY BY MICRO ELECTRO-DISCHARGE MACHINING PROCESS. Surface Review and Letters. 31(2). 14 indexed citations
9.
10.
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
11.
Das, Sudhansu Ranjan, et al.. (2021). Investigations on Surface Integrity in Hard Turning of Functionally Graded Specimen under Nano Fluid Assisted Minimum Quantity Lubrication. Advances in Materials and Processing Technologies. 8(sup3). 1714–1729. 32 indexed citations
12.
Elsheikh, Ammar H., Mohamed Abd Elaziz, Sudhansu Ranjan Das, T. Muthuramalingam, & Songfeng Lu. (2021). A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants. Journal of Manufacturing Processes. 67. 562–578. 130 indexed citations
14.
Panda, Amlana, Sudhansu Ranjan Das, & Debabrata Dhupal. (2020). Machinability investigation and sustainability assessment in FDHT with coated ceramic tool. Steel and Composite Structures. 34(5). 681. 21 indexed citations
15.
Panigrahi, S.C., et al.. (2020). Optimization of erosion wears of Al–Mg–Si–Cu–SiC composite produced by the PM method. Corrosion Reviews. 39(1). 63–75. 8 indexed citations
16.
Padhan, Smita, et al.. (2020). Design optimization for analysis of surface integrity and chip morphology in hard turning. STRUCTURAL ENGINEERING AND MECHANICS. 76(5). 561–578. 8 indexed citations
18.
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
19.
Dhupal, Debabrata, et al.. (2018). Micromachining on Al-Sic Based Metal Matrix Composite Using DPSS Laser. Materials Today Proceedings. 5(5). 11304–11318. 4 indexed citations
20.
Das, Sudhansu Ranjan, et al.. (2013). Experimental Investigation on Tool Wear, Surface Roughness and Material Removal Rate during DryTurning of AISI 52100 Steel. 1(1). 5–15. 2 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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