Amit Sinhal

416 citations
39 papers · 235 · h-index 8

Impact in

Papers in

    • IoT and Edge/Fog Computing 4
    • Advanced Data Storage Technologies 4
    • Network Security and Intrusion Detection 3
    • Software Engineering Research 5
    • Software Engineering Techniques and Practices 3
    • Cloud Computing and Resource Management 3
    • Spam and Phishing Detection 3

Amit Sinhal

35 papers receiving 216 citations

Peers

Amit Sinhal
Comparison fields: 5 of 84
  • Drug Discovery 1
  • Media Technology 31
  • Software 10
  • Artificial Intelligence 70
  • Computer Vision and Pattern Recognition 43
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Citations per field
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Citations per year

Countries citing papers authored by Amit Sinhal

Since Specialization
Citations

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

Fields of papers citing papers by Amit Sinhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Sinhal, 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 Sinhal Line = papers co-authored together Amit Sinhal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201762
2 201126
3 202317
4 201114
5 201213
6 201213
7 20228
8 20137
9
Adaptive Neuro-Fuzzy Inference System (ANFIS) Based Software Evaluation
20137
10 20136
11 20166
12
A Neural Network Approach to Improve the Efficiency of Image Annotation
20135
13 20135
14 20135
15 20224
16 20214
17
Comparative Study of Cloud Computing and Mobile Cloud Computing
20123
18 20133
19 20133
20
Cloud Computing on Smartphone
20132

About Amit Sinhal

Amit Sinhal is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 39 papers that have together received 235 indexed citations. Recurring topics across this work include Software Engineering Research (5 papers), IoT and Edge/Fog Computing (4 papers), Software Reliability and Analysis Research (4 papers), Advanced Data Storage Technologies (4 papers), Software Engineering Techniques and Practices (3 papers), Cloud Computing and Resource Management (3 papers), Network Security and Intrusion Detection (3 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Drug Discovery (1 citation), Media Technology (31 citations), Software (10 citations), Artificial Intelligence (70 citations) and Computer Vision and Pattern Recognition (43 citations). Amit Sinhal has collaborated with scholars based in India, United States and Ghana. Frequent co-authors include Manish Kumar, Siddhartha Kumar Arjaria, Deepak Kumar Jain, Haoxiang Wang, Bhupendra Verma, Richa Sharma, Mayank Chaturvedi, Manish Maheshwari, Shakti Mishra and Vikas Goel. Their work appears in journals such as Computational Intelligence and Neuroscience, Journal of Computational Science, International Journal of Green Pharmacy, International Journal of Information Technology and International Journal of Emerging Technology and Advanced Engineering.

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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