Anish Nair

1.7k total citations · 1 hit paper
48 papers, 1.1k citations indexed

About

Anish Nair is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Anish Nair has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Anish Nair's work include Advanced machining processes and optimization (15 papers), Advanced Machining and Optimization Techniques (13 papers) and Advanced Surface Polishing Techniques (12 papers). Anish Nair is often cited by papers focused on Advanced machining processes and optimization (15 papers), Advanced Machining and Optimization Techniques (13 papers) and Advanced Surface Polishing Techniques (12 papers). Anish Nair collaborates with scholars based in India, United States and Slovenia. Anish Nair's co-authors include Leonardo Neumeyer, Bruce Robbins, S. Kumanan, Farah Jijina, Manisha Madkaikar, L. Selvarajan, Chander Prakash, Kanjaksha Ghosh, Kevin Knight and Kenji Yamada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Expert Systems with Applications.

In The Last Decade

Anish Nair

44 papers receiving 1.0k citations

Hit Papers

S4: Distributed Stream Computing Platform 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anish Nair India 14 461 381 214 205 161 48 1.1k
Muhammad Usman United Kingdom 19 437 0.9× 110 0.3× 203 0.9× 13 0.1× 516 3.2× 91 1.1k
Jianjun Li China 25 209 0.5× 340 0.9× 296 1.4× 963 4.7× 153 1.0× 151 2.1k
Ximing Wang China 21 371 0.8× 78 0.2× 156 0.7× 54 0.3× 456 2.8× 88 1.1k
Jeong‐Uk Kim South Korea 15 395 0.9× 138 0.4× 170 0.8× 20 0.1× 224 1.4× 69 827
Zhaoguang Wang China 17 1.4k 3.0× 195 0.5× 131 0.6× 86 0.4× 1.5k 9.3× 67 2.2k
Wei-Jen Wang Taiwan 16 172 0.4× 191 0.5× 98 0.5× 110 0.5× 93 0.6× 64 1.0k
Saadaldeen Rashid Ahmed Iraq 22 345 0.7× 252 0.7× 234 1.1× 68 0.3× 137 0.9× 78 1.0k
Xiaohuan Li China 19 275 0.6× 101 0.3× 95 0.4× 49 0.2× 275 1.7× 101 1.1k
Guang Tan China 23 807 1.8× 84 0.2× 120 0.6× 87 0.4× 646 4.0× 122 1.5k
Jie Jia China 19 842 1.8× 161 0.4× 174 0.8× 40 0.2× 775 4.8× 123 1.5k

Countries citing papers authored by Anish Nair

Since Specialization
Citations

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

Fields of papers citing papers by Anish Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anish Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Nair. A scholar is included among the top collaborators of Anish Nair 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 Anish Nair. Anish Nair 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.
Nair, Anish, et al.. (2025). Surface characteristics optimization and investigation of dual-channel micro electrical discharge drilling on IN617 super alloy. SHILAP Revista de lepidopterología. 9. 100172–100172. 3 indexed citations
2.
Arunprasath, K., et al.. (2023). An integrated approach to modelling of barriers in implementation of cellular manufacturing systems in production industries. International Journal of Systems Assurance Engineering and Management. 14(4). 1370–1378.
3.
Nair, Anish, S. Kumanan, Chander Prakash, et al.. (2023). Research developments and technological advancements in conventional and non-conventional machining of superalloys – a review. Journal of Adhesion Science and Technology. 37(22). 3053–3124. 15 indexed citations
4.
Selvarajan, L., et al.. (2023). Si3N4-TiN rotary EDM optimization by Mo-Jaya algorithm with Pareto optimal solution, analysis of micro-structural and geometrical tolerances. Journal of the mechanical behavior of biomedical materials. 145. 105995–105995. 13 indexed citations
5.
Rajesh, S., S. Senthil Kumar, Anish Nair, et al.. (2022). Al-Mg-MoS2 Reinforced Metal Matrix Composites: Machinability Characteristics. Materials. 15(13). 4548–4548. 36 indexed citations
6.
Rajesh, S., Anish Nair, M. Ravichandran, et al.. (2022). Corrosion Behavior of Friction Stir Welded AA8090-T87 Aluminum Alloy. Materials. 15(15). 5165–5165. 29 indexed citations
7.
Nair, Anish, et al.. (2022). An empirical study on the effect of repeated online/offline transitions on student satisfaction. Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation. 35(is1). 277–283.
8.
Nair, Anish, et al.. (2022). Quantitative survey on the machining of super alloys using BibExcel. AIP conference proceedings. 2393. 20200–20200. 2 indexed citations
9.
Nair, Anish, et al.. (2022). Machine Learning Model Selection for Performance Prediction in 3D Printing. Journal of The Institution of Engineers (India) Series C. 103(4). 847–855. 2 indexed citations
10.
Nair, Anish, et al.. (2021). Heuristic optimization techniques in abrasive water jet hole making – A case study. Materials Today Proceedings. 50. 1291–1299. 1 indexed citations
11.
Nair, Anish, et al.. (2021). Multi-performance optimization in wire EDM of Inconel 617 using GRA and genetic algorithm. Materials Today Proceedings. 50. 1354–1366. 2 indexed citations
13.
Nair, Anish, et al.. (2021). Analysis of Student Satisfaction in the Current Online Teaching Scenario. Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation. 34(0). 566–573. 3 indexed citations
14.
Nair, Anish, et al.. (2020). Geometric characteristics analysis of hole making through abrasive water jet drilling. Materials Today Proceedings. 39. 338–347. 5 indexed citations
15.
Nair, Anish, et al.. (2020). Thigh burn – A magnetic resonance imaging (MRI) related adverse event. SHILAP Revista de lepidopterología. 15(12). 2569–2571. 8 indexed citations
16.
Nair, Anish, Patricia Walker, Anna Kalff, et al.. (2017). Adverse impact of high donor CD3+ cell dose on outcome following tandem auto-NMA allogeneic transplantation for high-risk myeloma. Bone Marrow Transplantation. 52(6). 839–845. 4 indexed citations
17.
Kumanan, S. & Anish Nair. (2017). Prediction of multi performance characteristics of wire EDM process using grey ANFIS. IOP Conference Series Materials Science and Engineering. 244. 12003–12003. 7 indexed citations
18.
Nair, Anish, Michael J. Barnett, Raewyn Broady, et al.. (2015). Allogeneic Hematopoietic Stem Cell Transplantation Is an Effective Salvage Therapy for Patients with Chronic Myeloid Leukemia Presenting with Advanced Disease or Failing Treatment with Tyrosine Kinase Inhibitors. Biology of Blood and Marrow Transplantation. 21(8). 1437–1444. 17 indexed citations
19.
Nair, Anish, et al.. (2007). Osteoporosis in young haemophiliacs from western India. American Journal of Hematology. 82(6). 453–457. 64 indexed citations
20.
Gordon, Andrew S. & Anish Nair. (2004). Expressions Related to Knowledge and Belief in Children’s Speech. eScholarship (California Digital Library). 26(26). 1 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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