Aaqib Saeed

1.2k citations
34 papers · 761 · h-index 13

Impact in

Papers in

Aaqib Saeed

29 papers receiving 746 citations

Peers

Aaqib Saeed
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 271
  • Medical Laboratory Technology 12
  • Artificial Intelligence 277
  • Signal Processing 76
  • Human-Computer Interaction 32
Replace Marília Barandas with:
Marília Barandas Portugal
Juan A. Álvarez-García Spain
Minh Nhut Nguyen Singapore
Uzoma Rita Alo Nigeria
Gustavo Figueroa Mexico
Dongil Shin South Korea
Chung Kit Wu Hong Kong
Tanır Özçelebi Netherlands
Debraj De United States
Aaqib Saeed relative to Marília Barandas Portugal Marília Barandas's profile →
Citations per field
00.5×1.5×2.0×
Marília Barandas · 1×
Citations per year

Countries citing papers authored by Aaqib Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Aaqib Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019241
2 2019121
3
Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence
202172
4 202256
5 202054
6 202034
7 201822
8 201821
9 201719
10 201617
11 202115
12 202214
13 202113
14 202312
15 20238
16 20228
17 20247
18 20256
19 20213
20 20193

About Aaqib Saeed

Aaqib Saeed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Civil and Structural Engineering and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 761 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Context-Aware Activity Recognition Systems (5 papers), Anomaly Detection Techniques and Applications (4 papers), Music and Audio Processing (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (271 citations), Medical Laboratory Technology (12 citations), Artificial Intelligence (277 citations), Signal Processing (76 citations) and Human-Computer Interaction (32 citations). Aaqib Saeed has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Tanır Özçelebi, Johan J. Lukkien, Zaharah Bukhsh, Andries G. Dorée, Irina Stipanović, Flora D. Salim, Daniel Smith, Hao Xue, Stojan Trajanovski and Jan B. F. van Erp. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Scientific Reports, Transportation Research Part C Emerging Technologies, ACM Transactions on Intelligent Systems and Technology and Sensors.

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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