Harsh Khatter

611 citations
42 papers · 365 · h-index 10

Impact in

    • Spam and Phishing Detection
    • Recommender Systems and Techniques
    • Blockchain Technology Applications and Security
    • Advanced Malware Detection Techniques

Papers in

    • Recommender Systems and Techniques 7
    • Blockchain Technology Applications and Security 4
    • Web Data Mining and Analysis 3
    • Spam and Phishing Detection 3
    • Sentiment Analysis and Opinion Mining 5

Harsh Khatter

32 papers receiving 304 citations

Peers

Harsh Khatter
Comparison fields: 5 of 72
  • Information Systems 189
  • Signal Processing 60
  • Business and International Management 8
  • Artificial Intelligence 120
  • Health Information Management 15
Replace Dina Nawara with:
Dina Nawara Canada
Mahsa Ebrahimian Canada
Shruti Kohli India
Mohammed Al Achhab Morocco
Mala Dutta India
Seyed Mohssen Ghafari Australia
Deepjyoti Roy India
Md. Mehedi Hassan Onik South Korea
Carlos Serrão Portugal
Shini Renjith India
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Citations per field
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Citations per year

Countries citing papers authored by Harsh Khatter

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Khatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 202023
3 202122
4 202121
5 201221
6 202121
7 202014
8 202112
9 202211
10 20199
11 20228
12 20227
13 20217
14 20147
15 20196
16 20235
17 20125
18 20165
19 20235
20 20184

About Harsh Khatter

Harsh Khatter is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 42 papers that have together received 365 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Sentiment Analysis and Opinion Mining (5 papers), Blockchain Technology Applications and Security (4 papers), Video Analysis and Summarization (4 papers), Artificial Intelligence in Healthcare (3 papers), Web Data Mining and Analysis (3 papers), Spam and Phishing Detection (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Information Systems (189 citations), Signal Processing (60 citations), Business and International Management (8 citations), Artificial Intelligence (120 citations) and Health Information Management (15 citations). Harsh Khatter has collaborated with scholars based in India, South Korea and United Arab Emirates. Frequent co-authors include Amit Kumar Gupta, Anjali Jain, Anil Ahlawat, Prabhat K. Singh, Amit Kumar, Garima Bhardwaj, Prateek Chaturvedi, Anjali Jain, Divya Pratap Singh and Vishal R. Aggarwal. Their work appears in journals such as Soft Computing, The Imaging Science Journal, Wireless Personal Communications, Multimedia Tools and Applications and Advances in Engineering Software.

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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