Basit Qureshi

75 papers receiving 1.7k citations

Basit Qureshi's Hit Papers

An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques 2020 · 264 citations
2640+2+4Years since publication50100150200250

Peers

Basit Qureshi
Comparison fields: 5 of 125
  • Health Informatics 48
  • Computer Networks and Communications 637
  • Information Systems 336
  • Computer Vision and Pattern Recognition 281
  • Artificial Intelligence 424
Replace Jie Tang with:
Jie Tang China
Rabindra Nath Shaw India
Ali Nauman South Korea
Agbotiname Lucky Imoize Nigeria
Bouziane Brik France
Latif U. Khan South Korea
Mohammad Dahman Alshehri Saudi Arabia
Radhya Sahal Ireland
Rizwan Patan India
Ola Salman Lebanon
Basit Qureshi relative to Jie Tang China Jie Tang's profile →
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Countries citing papers authored by Basit Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Basit Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques
Hit paper breakdown →
2020264
2 2018101
3 201685
4 201879
5 202173
6 201764
7 202158
8 202151
9 202149
10 202249
11 201146
12 201941
13 201841
14 202140
15 202038
16 201735
17 202332
18 202232
19 201632
20 202431

About Basit Qureshi

Basit Qureshi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (24 papers), Cloud Computing and Resource Management (10 papers), Robotics and Automated Systems (10 papers), Privacy-Preserving Technologies in Data (9 papers), Cryptography and Data Security (7 papers), Modular Robots and Swarm Intelligence (7 papers), Caching and Content Delivery (6 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Health Informatics (48 citations), Computer Networks and Communications (637 citations), Information Systems (336 citations), Computer Vision and Pattern Recognition (281 citations) and Artificial Intelligence (424 citations). Basit Qureshi has collaborated with scholars based in Saudi Arabia, Portugal and Vietnam. Frequent co-authors include Anis Koubâa, Anand Nayyar, Dhanalekshmi Gopinathan, Rajalakshmi Krishnamurthi, Adarsh Kumar, Geyong Min, Demetres D. Kouvatsos, Eduardo Tovar, Muhammad Ali Babar and Mohamed-Foued Sriti. Their work appears in journals such as IEEE Access, Electronics, Computers, materials & continua/Computers, materials & continua (Print), Sensors 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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