Faisal Saeed

223 papers receiving 3.6k citations

Faisal Saeed's Hit Papers

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases 2024 · 129 citations
1290+1Years since publication4080120

Peers

Faisal Saeed
Comparison fields: 5 of 189
  • Signal Processing 451
  • Health Information Management 153
  • Health Informatics 50
  • Computer Networks and Communications 762
  • Artificial Intelligence 1.1k
Replace Janmenjoy Nayak with:
Janmenjoy Nayak India
Abdu Gumaei Saudi Arabia
Valentina Emilia Bălaş Romania
Rubén González Crespo Spain
Moez Krichen Tunisia
Mukesh Prasad Australia
Bighnaraj Naik India
Jafar Ahmad Abed Alzubi Jordan
Panagiotis Pintelas Greece
Verónica Bolón‐Canedo Spain
Faisal Saeed relative to Janmenjoy Nayak India Janmenjoy Nayak's profile →
Citations per field
00.5×1.5×1.9×
Janmenjoy Nayak · 1×
Citations per year

Countries citing papers authored by Faisal Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016221
2 2021159
3 2018159
4
Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases
Hit paper breakdown →
2024129
5 2019103
6 202286
7 202086
8 202375
9 202275
10 202267
11 202264
12 201959
13 202158
14 201958
15 202157
16 202354
17 202150
18 202349
19 202344
20 202242

About Faisal Saeed

Faisal Saeed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 232 papers that have together received 3.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (38 papers), Network Security and Intrusion Detection (21 papers), Advanced Malware Detection Techniques (21 papers), Anomaly Detection Techniques and Applications (17 papers), Spam and Phishing Detection (15 papers), Analytical Chemistry and Chromatography (14 papers), Video Surveillance and Tracking Methods (13 papers) and Advanced Clustering Algorithms Research (11 papers). The work is most often cited by research in Signal Processing (451 citations), Health Information Management (153 citations), Health Informatics (50 citations), Computer Networks and Communications (762 citations) and Artificial Intelligence (1.1k citations). Faisal Saeed has collaborated with scholars based in Saudi Arabia, Malaysia and United Kingdom. Frequent co-authors include Mohammed Al-Sarem, Ismail Babajide Mustapha, Fuad Abdulgaleel Abdoh Ghaleb, Anand Paul, Sultan Noman Qasem, Tawfik Al-Hadhrami, Naomie Binti Salim, Maged Nasser, Bander Ali Saleh Al‐rimy and Shadi Saleh Basurra. Their work appears in journals such as Sensors, IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences and PeerJ Computer Science.

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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