Amit Saxena

3.3k total citations · 2 hit papers
40 papers, 2.1k citations indexed

About

Amit Saxena is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Amit Saxena has authored 40 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 7 papers in Computer Networks and Communications. Recurrent topics in Amit Saxena's work include Face and Expression Recognition (17 papers), Neural Networks and Applications (8 papers) and Evolutionary Algorithms and Applications (5 papers). Amit Saxena is often cited by papers focused on Face and Expression Recognition (17 papers), Neural Networks and Applications (8 papers) and Evolutionary Algorithms and Applications (5 papers). Amit Saxena collaborates with scholars based in India, Australia and United States. Amit Saxena's co-authors include Min Sun, A.Y. Ng, Mukesh Prasad, Chin‐Teng Lin, Aruna Tiwari, Akshansh Gupta, Om Prakash Patel, Neha Bharill, Meng Joo Er and Weiping Ding and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and Applied Sciences.

In The Last Decade

Amit Saxena

32 papers receiving 2.0k citations

Hit Papers

Make3D: Learning 3D Scene Structure from a Single Still I... 2009 2026 2014 2020 2009 2017 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Make3D: Learning 3D Scene Structure from a Single Still Image
    2009 1.1k citations Amit Saxena, Min Sun et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  2. A review of clustering techniques and developments
    2017 850 citations Amit Saxena, Mukesh Prasad et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Saxena India 8 1.3k 538 456 258 109 40 2.1k
Xudong Sun China 16 618 0.5× 216 0.4× 359 0.8× 93 0.4× 125 1.1× 63 1.7k
Junyuan Xie China 14 1.4k 1.1× 368 0.7× 787 1.7× 82 0.3× 131 1.2× 73 2.5k
Guangluan Xu China 23 794 0.6× 813 1.5× 711 1.6× 287 1.1× 95 0.9× 101 2.1k
Weijun Li China 27 1.1k 0.9× 185 0.3× 641 1.4× 90 0.3× 229 2.1× 113 2.2k
Haojie Li China 27 4.0k 3.2× 568 1.1× 1.4k 3.0× 450 1.7× 107 1.0× 179 5.0k
Hujun Yin United Kingdom 27 1.0k 0.8× 246 0.5× 948 2.1× 101 0.4× 273 2.5× 164 2.5k
Junmin Liu China 25 1.1k 0.9× 1.1k 2.0× 345 0.8× 197 0.8× 54 0.5× 102 2.0k
Xianglong Tang China 22 1.2k 0.9× 239 0.4× 626 1.4× 101 0.4× 71 0.7× 159 1.8k
Manish Kumar India 26 1.4k 1.1× 174 0.3× 983 2.2× 190 0.7× 148 1.4× 234 3.2k

Countries citing papers authored by Amit Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Amit Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Saxena. A scholar is included among the top collaborators of Amit Saxena 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 Amit Saxena. Amit Saxena 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.
Saxena, Amit, et al.. (2024). Prediction of Brain Cancer Occurrence and Risk Assessment of Brain Hemorrhage Using Hybrid Deep Learning Technique. Cancer Investigation. 43(1). 80–102. 1 indexed citations
2.
Saxena, Amit, et al.. (2024). A Detailed Survey of Multi Focus Image Fusion. International Journal of Computer Applications. 186(12). 25–30.
3.
Saxena, Amit, et al.. (2024). A Machine Learning Approach for an Early Prediction of Parkinson’s disease. Indian Journal of Science and Technology. 17(33). 3410–3418.
4.
Mittal, Himanshu, et al.. (2023). Augmentation of Densest Subgraph Finding Unsupervised Feature Selection Using Shared Nearest Neighbor Clustering. Algorithms. 16(1). 28–28. 3 indexed citations
5.
Chaturvedi, Kunal, et al.. (2023). Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI. Algorithms. 16(8). 377–377. 4 indexed citations
6.
Saxena, Amit, et al.. (2023). A Detailed Survey on Energy Efficient WSN Routing Protocols. International Journal of Computer Applications. 185(7). 1–8.
7.
8.
Saxena, Amit, et al.. (2022). A Novel Scheme For Feature Selection Using Filter Approach. 1–4. 2 indexed citations
9.
10.
Singh, Shipra, et al.. (2020). Security Domain, Threats, Privacy issues in the Internet of Things (IoT): A Survey. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 8. 287–294. 2 indexed citations
11.
Saxena, Amit, S. Pare, Deepak Gupta, et al.. (2020). A Two-Phase Approach for Semi-Supervised Feature Selection. Algorithms. 13(9). 215–215. 1 indexed citations
12.
Saxena, Amit, et al.. (2017). Filter GA Based Approach to Feature Selection for Classification. 3(11). 202–212. 5 indexed citations
13.
14.
Saxena, Amit, et al.. (2016). A cluster-filter feature selection approach. 4 indexed citations
15.
Saxena, Amit, et al.. (2015). Detecting Input Validation Attacks in Web Application. International Journal of Computer Applications. 109(6). 1–4. 1 indexed citations
16.
Prasad, Mukesh, et al.. (2014). A preprocessed induced partition matrix based collaborative fuzzy clustering for data analysis. 1553–1558. 11 indexed citations
17.
Saxena, Amit, et al.. (2013). Comparison of AOMDV Routing Protocol under IEEE802.11 and TDMA Mac Layer Protocol. 16. 117–122. 2 indexed citations
18.
Saxena, Amit, et al.. (2011). An Evolutionary Feature Selection Technique Using Polynomial Neural Network. 5 indexed citations
19.
Saxena, Amit, Min Sun, & A.Y. Ng. (2009). Make3D: Learning 3D Scene Structure from a Single Still Image. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(5). 824–840. 1092 indexed citations breakdown →
20.
Saxena, Amit, et al.. (2008). Novel Approach for the use of Small World Theory in Particle Swarm Optimization. 3. 363–366. 4 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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