Jaiteg Singh

139 papers receiving 1.5k citations

Jaiteg Singh's Hit Papers

AI student success predictor: Enhancing personalized learning in campus management systems 2024 · 57 citations
570+1Years since publication1020304050

Peers

Jaiteg Singh
Comparison fields: 5 of 153
  • Signal Processing 249
  • Health Informatics 27
  • Geography, Planning and Development 95
  • Software 59
  • Human-Computer Interaction 83
Replace Γεώργιος Μεδίτσκος with:
Γεώργιος Μεδίτσκος Greece
Andreas Kerren Sweden
Mohammed Eunus Ali Bangladesh
Zheng Li China
Flora D. Salim Australia
Mehmed Kantardzic United States
Marco Aiello Netherlands
Melanie Tory Canada
Efstratios Kontopoulos Greece
Daniele Riboni Italy
Jaiteg Singh relative to Γεώργιος Μεδίτσκος Greece Γεώργιος Μεδίτσκος's profile →
Citations per field
00.5×4.4×
Γεώργιος Μεδίτσκος · 1×
Citations per year

Countries citing papers authored by Jaiteg Singh

Since Specialization
Citations

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

Fields of papers citing papers by Jaiteg Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 202076
3 202267
4
AI student success predictor: Enhancing personalized learning in campus management systems
Hit paper breakdown →
202457
5 201756
6 202151
7 202147
8 202141
9 202235
10 201734
11 202034
12 202332
13 201729
14 202029
15 202226
16 202425
17 201825
18 201925
19 202124
20 202224

About Jaiteg Singh

Jaiteg Singh is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Experimental and Cognitive Psychology, having authored 158 papers that have together received 1.6k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (21 papers), Data Management and Algorithms (17 papers), Geographic Information Systems Studies (14 papers), Network Security and Intrusion Detection (12 papers), EEG and Brain-Computer Interfaces (11 papers), Advanced Malware Detection Techniques (11 papers), IoT and Edge/Fog Computing (9 papers) and Cloud Computing and Resource Management (9 papers). The work is most often cited by research in Signal Processing (249 citations), Health Informatics (27 citations), Geography, Planning and Development (95 citations), Software (59 citations) and Human-Computer Interaction (83 citations). Jaiteg Singh has collaborated with scholars based in India, South Korea and United Arab Emirates. Frequent co-authors include Sukhjit Singh Sehra, Farman Ali, Hardeep Singh, Rupali Gill, Jagpreet Sidhu, Tanya Gera, Deepak Thakur, Saravjeet Singh, Gaurav Goyal and Tamer Abuhmed. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Frontiers in Public Health, Computers, materials & continua/Computers, materials & continua (Print) and Sustainability.

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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