Amit Saxena

884 citations
82 papers · 537 indexed · h-index 13
Topics
Advanced Image and Video Retrieval Techniques (5 papers)Low-power high-performance VLSI design (4 papers)Image Retrieval and Classification Techniques (3 papers)

In The Last Decade

Amit Saxena

68 papers receiving 485 citations

Peers

Amit Saxena
Comparison fields: 5 of 113
  • Artificial Intelligence 112
  • Information Systems 76
  • Electrical and Electronic Engineering 63
  • Computer Vision and Pattern Recognition 62
  • Mechanical Engineering 53
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Roumen Kountchev Bulgaria
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J. Karthikeyan India
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Citations per field
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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
#WorkIndexed citations
1 1
2 10
3 4
4 0
5 8
6 16
7 3
8 0
9 3
10 0
11 2
12
Unilateral four heads of sternocleidomastoid muscle: a rare case report
1
13
Designs for Simultaneous Renewal in University- Public School Partnerships: Hitting the "Sweet Spot"
14
14 8
15 29
16 14
17 1
18 1
19
Optical glass: its manufacture in India — a historical perspective
1
20
Heat transfer and flow characteristics of cooling channels in turbine blades
1

About Amit Saxena

Amit Saxena is a scholar working on Health Informatics, Media Technology and Signal Processing, having authored 82 papers that have together received 537 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Low-power high-performance VLSI design (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (112 citations), Information Systems (76 citations) and Computer Vision and Pattern Recognition (62 citations). Amit Saxena has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Mukesh Prasad, Chin‐Teng Lin, Kshitij Shinghal, Y. Sahai, Ashish Saini, Najma Zaheer Baquer, Poonam Srivastava, Jagendra Singh, Quinn E. Barber and Marc‐André Parisien. Their work appears in journals such as Expert Systems with Applications, Journal of Environmental Management and European Journal of Pharmacology.

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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