Amit Ganatra

2.1k citations
87 papers · 1.3k · h-index 17

Impact in

Papers in

    • Imbalanced Data Classification Techniques 12
    • Anomaly Detection Techniques and Applications 8
    • Neural Networks and Applications 7
    • Machine Learning and Data Classification 6
    • Natural Language Processing Techniques 6
    • Cryptography and Data Security 4
    • Face and Expression Recognition 7

Amit Ganatra

77 papers receiving 1.2k citations

Peers

Amit Ganatra
Comparison fields: 5 of 160
  • Artificial Intelligence 472
  • Computer Vision and Pattern Recognition 191
  • Signal Processing 87
  • Information Systems 164
  • Health Information Management 31
Replace Belal Abuhaija with:
Belal Abuhaija China
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Citations per field
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Citations per year

Countries citing papers authored by Amit Ganatra

Since Specialization
Citations

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

Fields of papers citing papers by Amit Ganatra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Amit Ganatra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Ganatra Line = papers co-authored together Amit Ganatra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011294
2
A Comparative Study of Training Algorithms for Supervised Machine Learning
2012135
3 2013104
4 202191
5 201860
6 201147
7 201039
8
An Empirical Evaluation of Density-Based Clustering Techniques
201234
9 201130
10 202327
11 202225
12 201525
13 201523
14 202122
15
A Survey and Current Research Challenges in Multi-Label Classification Methods
201221
16
Association Rule Hiding by Heuristic Approach to Reduce Side Effects and Hide Multiple R. H. S. Items
201217
17 200917
18 201015
19
Target Oriented Sequential Pattern Mining using Recency and Monetary Constraints
201215
20 202413

About Amit Ganatra

Amit Ganatra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Signal Processing, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (12 papers), Data Mining Algorithms and Applications (8 papers), Anomaly Detection Techniques and Applications (8 papers), Face and Expression Recognition (7 papers), Neural Networks and Applications (7 papers), Machine Learning and Data Classification (6 papers), Natural Language Processing Techniques (6 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Artificial Intelligence (472 citations), Computer Vision and Pattern Recognition (191 citations), Signal Processing (87 citations), Information Systems (164 citations) and Health Information Management (31 citations). Amit Ganatra has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Y.P. Kosta, Gaurang Panchal, Ketan Kotecha, Parth Goel, Amit Thakkar, Dweepna Garg, Parth Shah, Sharnil Pandya, Jeffrey R. Scott and David P. Martin. Their work appears in journals such as PeerJ Computer Science, IEEE Access, Indian Journal of Science and Technology, Pattern Analysis and Applications and Engineered Science.

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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