Nitin Arora

685 total citations
57 papers, 401 citations indexed

About

Nitin Arora is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Nitin Arora has authored 57 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 13 papers in Artificial Intelligence. Recurrent topics in Nitin Arora's work include Image Retrieval and Classification Techniques (10 papers), Astro and Planetary Science (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Nitin Arora is often cited by papers focused on Image Retrieval and Classification Techniques (10 papers), Astro and Planetary Science (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Nitin Arora collaborates with scholars based in India, United States and Saudi Arabia. Nitin Arora's co-authors include Ryan P. Russell, S. C. Sharma, Nathan Strange, Atri Dutta, Ryan W. Conversano, Richard Vuduc, J. A. Cutts, Dan M. Goebel, Thomas R. Spilker and Anupam Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Guidance Control and Dynamics and Planetary and Space Science.

In The Last Decade

Nitin Arora

53 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Arora India 13 166 142 66 45 42 57 401
Samuel Picton Drake Australia 10 229 1.4× 134 0.9× 76 1.2× 139 3.1× 96 2.3× 28 549
Hengnian Li China 16 566 3.4× 281 2.0× 113 1.7× 13 0.3× 66 1.6× 104 731
Jason W. Mitchell United States 11 211 1.3× 128 0.9× 23 0.3× 45 1.0× 88 2.1× 27 327
Vincent T. Coppola United States 10 261 1.6× 44 0.3× 39 0.6× 8 0.2× 64 1.5× 23 727
В. В. Сазонов Russia 9 98 0.6× 56 0.4× 20 0.3× 13 0.3× 13 0.3× 89 353
Shijie Xu China 19 806 4.9× 724 5.1× 41 0.6× 19 0.4× 13 0.3× 89 967
Tan Nguyen United States 9 74 0.4× 47 0.3× 30 0.5× 38 0.8× 133 3.2× 23 478
S. Zohar United States 9 39 0.2× 41 0.3× 80 1.2× 35 0.8× 23 0.5× 24 471
Paul W. Schumacher United States 8 214 1.3× 85 0.6× 139 2.1× 3 0.1× 21 0.5× 31 313
Mengxiang Lin China 15 40 0.2× 536 3.8× 36 0.5× 46 1.0× 44 1.0× 48 796

Countries citing papers authored by Nitin Arora

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Arora. A scholar is included among the top collaborators of Nitin Arora 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 Nitin Arora. Nitin Arora 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.
Arora, Nitin, Ishan Budhiraja, Deepak Garg, et al.. (2025). Revolutionizing facial image retrieval: Multi-block and mean based local binary patterns with sign and magnitude analysis. Alexandria Engineering Journal. 116. 601–608. 1 indexed citations
2.
Karanwal, Shekhar & Nitin Arora. (2024). A Comprehensive Comparative Study of Handcrafted Descriptors in Face and Palmprint Recognition. International Journal of Image and Graphics. 26(4).
3.
Arora, Nitin & S. C. Sharma. (2024). A comparative study on facial image retrieval using local patterns. Multimedia Tools and Applications. 83(28). 70637–70692. 2 indexed citations
4.
Arora, Nitin, et al.. (2023). Medical image retrieval using a novel local relative directional edge pattern and Zernike moments. Multimedia Tools and Applications. 82(20). 31737–31757. 5 indexed citations
5.
Arora, Nitin & S. C. Sharma. (2023). ETLBP and ERDLBP descriptors for efficient facial image retrieval in CBIR systems. Multimedia Tools and Applications. 83(4). 9817–9851. 3 indexed citations
6.
Tripathi, Kuldeep Narayan, Gagandeep Kaur, Nitin Arora, & Rohit Agrawal. (2023). An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression. Journal of Grid Computing. 21(3). 3 indexed citations
7.
Arora, Nitin & S. C. Sharma. (2023). The practical applications of HLBP texture descriptor. Multimedia Tools and Applications. 82(19). 29379–29404. 4 indexed citations
8.
Arora, Nitin, et al.. (2022). Exploring Failure Orientation : Its Mediating Role in Multidisciplinary Teams of the Petroleum Industry. Prabandhan Indian Journal of Management. 15(12). 22–22.
9.
Arora, Nitin, et al.. (2020). Multi spectral classification and recognition of breast cancer and pneumonia. Polish Journal of Medical Physics And Engineering. 26(1). 1–9. 2 indexed citations
10.
Srivastava, Saumya, et al.. (2020). Exploration of a Solution-Centric Crime Awareness Tool. International Journal of Computer Applications. 175(22). 26–32. 1 indexed citations
11.
Singh, Anupam, et al.. (2019). An Efficient System for Early Diagnosis of B reast Cancer using Support Vector Machine. International Journal of Engineering and Advanced Technology. 9(1). 7029–7035. 3 indexed citations
12.
Singh, Anupam, et al.. (2019). Path Finder : An Artificial Intelligence Based Shortest Path. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 5177–5181. 1 indexed citations
13.
Sotin, C., Guillaume Avice, John M. Baker, et al.. (2018). Cupid's Arrow: A Small Satellite Concept to Measure Noble Gases in Venus' Atmosphere. Lunar and Planetary Science Conference. 1763. 2 indexed citations
14.
Conversano, Ryan W., Nitin Arora, Nathan Strange, & Dan M. Goebel. (2016). An Enabling Low-Power Magnetically Shielded Hall Thruster for Interplanetary Smallsat Missions. NASA Technical Reports Server (NASA). 4 indexed citations
15.
Arora, Nitin, et al.. (2015). Parallel Computation of Trajectories Using Graphics Processing Units and Interpolated Gravity Models. Journal of Guidance Control and Dynamics. 38(8). 1345–1355. 22 indexed citations
16.
Spangelo, Sara, et al.. (2015). Defining the requirements for the Micro Electric Propulsion systems for small spacecraft missions. 2. 1–16. 1 indexed citations
17.
Arora, Nitin. (2013). Performance Analysis of AODV, DSR and ZRP in MANETs using QualNet Simulator. Journal of Engineering Science and Technology Review. 6(1). 21–24. 8 indexed citations
18.
Arora, Nitin, et al.. (2013). Goodput Enhanced Digital Image Watermarking Scheme Based on DWT and SVD. 3 indexed citations
20.
Garg, Puneet, et al.. (2011). Capacity Improvement of WI-MAX In presence of Different Codes WI-MAX: Speed & Scope of future. 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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