Mohammad Kaleem

408 citations
29 papers · 227 · h-index 7

Impact in

    • Sentiment Analysis and Opinion Mining
    • Privacy-Preserving Technologies in Data
    • AI in cancer detection
    • Text and Document Classification Technologies
    • AI in Service Interactions

Papers in

Mohammad Kaleem

26 papers receiving 220 citations

Peers

Mohammad Kaleem
Comparison fields: 5 of 81
  • Health Informatics 6
  • Artificial Intelligence 130
  • Information Systems 76
  • Computer Networks and Communications 28
  • Neurology 9
Replace Mayuri A. Mehta with:
Mayuri A. Mehta India
Nikita Nikita India
Xinyu Zhu China
Raúl Alonso-Calvo Spain
Ruth Wario South Africa
Baoyu Jing United States
Samina Amin Saudi Arabia
Dong‐Gi Lee South Korea
Zaid Alyafeai Saudi Arabia
Bihter Daş Türkiye
Mohammad Kaleem relative to Mayuri A. Mehta India Mayuri A. Mehta's profile →
Citations per field
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Mayuri A. Mehta · 1×
Citations per year

Countries citing papers authored by Mohammad Kaleem

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Kaleem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201965
2 202362
3 201721
4 202412
5 20219
6 20217
7 20206
8 20136
9 20225
10 20134
11 20194
12 20234
13 20133
14 20213
15 20252
16
AN OVERVIEW OF VARIOUS FORMS OF LINGUISTIC STEGANOGRAPHY AND THEIR APPLICATIONS IN PROTECTING DATA
20122
17 20232
18 20162
19 20241
20 20201

About Mohammad Kaleem

Mohammad Kaleem is a scholar working on Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 29 papers that have together received 227 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), IoT and Edge/Fog Computing (3 papers), Laser Material Processing Techniques (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Video Surveillance and Tracking Methods (3 papers), Blockchain Technology Applications and Security (2 papers), Semiconductor Lasers and Optical Devices (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Health Informatics (6 citations), Artificial Intelligence (130 citations), Information Systems (76 citations), Computer Networks and Communications (28 citations) and Neurology (9 citations). Mohammad Kaleem has collaborated with scholars based in Pakistan, United Kingdom and China. Frequent co-authors include Sajid Nazir, Naveed Hussain, Ibrar Hussain, Hamid Turab Mirza, Ghulam Rasool, Keeley Crockett, James O’Shea, Sumayh S. Aljameel, Annabel Latham and Faiza Iqbal. Their work appears in journals such as PLoS ONE, PeerJ Computer Science, Wireless Networks, Applied Sciences and Optics & Laser Technology.

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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