A. K. Nandi

422 total citations
27 papers, 331 citations indexed

About

A. K. Nandi is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, A. K. Nandi has authored 27 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Automotive Engineering, 18 papers in Electrical and Electronic Engineering and 9 papers in Mechanical Engineering. Recurrent topics in A. K. Nandi's work include Electric Vehicles and Infrastructure (16 papers), Electric and Hybrid Vehicle Technologies (13 papers) and Vehicle emissions and performance (10 papers). A. K. Nandi is often cited by papers focused on Electric Vehicles and Infrastructure (16 papers), Electric and Hybrid Vehicle Technologies (13 papers) and Vehicle emissions and performance (10 papers). A. K. Nandi collaborates with scholars based in India, United States and Finland. A. K. Nandi's co-authors include Ümit Ö. Köylü, Robert G. Landers, Dilip Kumar Pratihar, Shubhabrata Datta, Kalyanmoy Deb, Madhumita Banerjee and Frank Klawonn and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Vehicular Technology and Journal of Materials Processing Technology.

In The Last Decade

A. K. Nandi

24 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. K. Nandi India	9	234	189	60	28	27	27	331
Seungmin Jeong South Korea	9	477 2.0×	633 3.3×	37 0.6×	23 0.8×	29 1.1×	16	696
Peter Drgoňa Slovakia	12	162 0.7×	305 1.6×	111 1.9×	65 2.3×	22 0.8×	54	412
Yeong-il Park South Korea	13	586 2.5×	425 2.2×	113 1.9×	80 2.9×	11 0.4×	56	669
G. Pede Italy	13	456 1.9×	377 2.0×	34 0.6×	42 1.5×	33 1.2×	58	560
Bernd Eichberger Austria	12	90 0.4×	214 1.1×	23 0.4×	18 0.6×	8 0.3×	33	317
Taiqiang Cao China	6	171 0.7×	270 1.4×	31 0.5×	115 4.1×	7 0.3×	22	374
Eric Rask United States	12	418 1.8×	230 1.2×	82 1.4×	101 3.6×	35 1.3×	28	525
Guoxiang Lu United Kingdom	13	194 0.8×	99 0.5×	23 0.4×	53 1.9×	28 1.0×	25	385
Fabio Mazzariol Santiciolli Brazil	13	378 1.6×	246 1.3×	93 1.6×	59 2.1×	9 0.3×	33	455
Jarosław Mamala Poland	10	195 0.8×	68 0.4×	65 1.1×	25 0.9×	22 0.8×	63	279

Countries citing papers authored by A. K. Nandi

Since Specialization

Citations

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

Fields of papers citing papers by A. K. Nandi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. K. Nandi. 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 A. K. Nandi. The network helps show where A. K. Nandi may publish in the future.

Co-authorship network of co-authors of A. K. Nandi

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

All Works

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20 of 20 papers shown

Nandi, A. K., et al.. (2024). An assistance technology towards maintaining efficient driving strategies of electric vehicle. Smart Science. 12(4). 519–534.

Nandi, A. K., et al.. (2023). Improvement of braking system towards maintaining constant brake pedal feel during vehicle deceleration. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(5). 3 indexed citations

Nandi, A. K., et al.. (2020). Optimal driving based trip planning of electric vehicles using evolutionary algorithms: A driving assistance system. Applied Soft Computing. 93. 106361–106361. 19 indexed citations

Nandi, A. K., et al.. (2018). Study on optimal deceleration of electric vehicle with serial regenerative braking: a multi-objective approach. International Journal of Electric and Hybrid Vehicles. 10(4). 366–366. 1 indexed citations

Nandi, A. K., et al.. (2018). A generic method for rock mass classification. Journal of Rock Mechanics and Geotechnical Engineering. 10(1). 102–116. 21 indexed citations

Nandi, A. K., et al.. (2016). Driving assistance for energy management in electric vehicle. 1–6. 2 indexed citations

Nandi, A. K., et al.. (2016). Finding optimal driving region of electric vehicles during acceleration. 3242. 1–6. 5 indexed citations

Nandi, A. K., et al.. (2016). Finding optimal driving strategy of electric vehicle during deceleration with serial regenerative braking. 1–6. 1 indexed citations

Nandi, A. K., et al.. (2016). Trip planning for electric vehicle through optimal driving using genetic algorithm. 3242. 1–6. 3 indexed citations

10.

Nandi, A. K., et al.. (2015). Design of a comfortable optimal driving strategy for electric vehicles using multi-objective optimization. Journal of Power Sources. 283. 1–18. 59 indexed citations

11.

Nandi, A. K., et al.. (2015). A Multiobjective Approach to Find Optimal Electric-Vehicle Acceleration: Simultaneous Minimization of Acceleration Duration and Energy Consumption. IEEE Transactions on Vehicular Technology. 65(6). 4633–4644. 33 indexed citations

12.

Nandi, A. K., et al.. (2015). Optimal driving during electric vehicle acceleration using evolutionary algorithms. Applied Soft Computing. 34. 217–235. 29 indexed citations

13.

Nandi, A. K., Kalyanmoy Deb, & Shubhabrata Datta. (2013). Genetic Algorithm–Based Design and Development of Particle-Reinforced Silicone Rubber for Soft Tooling Process. Materials and Manufacturing Processes. 28(7). 753–760. 14 indexed citations

14.

Nandi, A. K., et al.. (2011). Studies on effective thermal conductivity of particle-reinforced polymeric flexible mould material composites. Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications. 225(3). 149–159. 5 indexed citations

15.

Nandi, A. K., et al.. (2011). Experimental investigation on equivalent properties of particle reinforced silicone rubber: Improvement of soft tooling process. Journal of Reinforced Plastics and Composites. 30(17). 1429–1444. 3 indexed citations

16.

Nandi, A. K., et al.. (2007). Determination of machining parameters in HSM through TSK-FLC. Journal of Achievements of Materials and Manufacturing Engineering. 21. 57–60. 2 indexed citations

17.

Nandi, A. K. & Frank Klawonn. (2005). Detecting ambiguities in regression using TSK models. 1. 221–226. 3 indexed citations

18.

Nandi, A. K. & Madhumita Banerjee. (2005). FBF-NN-based modelling of cylindrical plunge grinding process using a GA. Journal of Materials Processing Technology. 162-163. 655–664. 11 indexed citations

19.

Nandi, A. K.. (2004). Design of a multi-punching system based on a locking mechanism. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 218(9). 1033–1041. 1 indexed citations

20.

Nandi, A. K. & Dilip Kumar Pratihar. (2004). An expert system based on FBFN using a GA to predict surface finish in ultra-precision turning. Journal of Materials Processing Technology. 155-156. 1150–1156. 18 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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