Sheraz Naseer
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Molecular Biology
- Signal Processing top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Yasir SaleemYaser Daanial KhanJihun HanShehzad KhalidMuhammad Munwar IqbalKijun HanMuhammad Khawar BashirRao Faizan Ali
- Topics
- Machine Learning in Bioinformatics (12 papers)Network Security and Intrusion Detection (7 papers)Genomics and Phylogenetic Studies (5 papers)
- Partner nations
- PakistanMalaysiaSaudi Arabia
In The Last Decade
Sheraz Naseer
30 papers receiving 864 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 371
- Computer Networks and Communications 353
- Molecular Biology 288
- Signal Processing 187
- Control and Systems Engineering 76
Countries citing papers authored by Sheraz Naseer
This map shows the geographic impact of Sheraz Naseer'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 Sheraz Naseer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheraz Naseer more than expected).
Fields of papers citing papers by Sheraz Naseer
This network shows the impact of papers produced by Sheraz Naseer. 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 Sheraz Naseer. The network helps show where Sheraz Naseer may publish in the future.
Co-authorship network of co-authors of Sheraz Naseer
This figure shows the co-authorship network connecting the top 25 collaborators of Sheraz Naseer. A scholar is included among the top collaborators of Sheraz Naseer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheraz Naseer. Sheraz Naseer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 39 | |
| 6 | 20 | |
| 7 | 23 | |
| 8 | 24 | |
| 9 | 46 | |
| 10 | 51 | |
| 11 | 28 | |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 46 | |
| 16 | Enhanced Network Anomaly Detection Based on Deep Neural Networksbreakdown → | 323 |
| 17 | 2 | |
| 18 | A Mitigation Approach to Counter Initial Ranging Based DoS Attacks on IEEE 802.16-2009 | 1 |
| 19 | SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK PERPERIODE MENGGUNAKAN METODE NAIVE BAYES (STUDI KASUS: HOTEL INTERCONTINENTAL BALI RESORT ) | 1 |
| 20 | DIGITAL PROMOTION PRODUCT PADA PT PIAGGIO INDONESIA BERBASIS AUGMENTED REALITY DEKSTOP | 1 |
About Sheraz Naseer
Sheraz Naseer is a scholar working on Computer Networks and Communications, Critical Care and Intensive Care Medicine and Artificial Intelligence, having authored 32 papers that have together received 898 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (12 papers), Network Security and Intrusion Detection (7 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Signal Processing (187 citations), Computer Networks and Communications (353 citations) and Artificial Intelligence (371 citations). Sheraz Naseer has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Yasir Saleem, Yaser Daanial Khan, Jihun Han, Shehzad Khalid, Muhammad Munwar Iqbal, Kijun Han, Muhammad Khawar Bashir, Rao Faizan Ali, Waqar Hussain and Nouman Rasool. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and Scientific Reports.
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.