Kalamullah Ramli

136 papers receiving 1.0k citations

Peers

Kalamullah Ramli
Comparison fields: 5 of 117
  • Signal Processing 179
  • Computer Networks and Communications 285
  • Artificial Intelligence 274
  • Cardiology and Cardiovascular Medicine 166
  • Information Systems 183
Replace M. M. A. Hashem with:
M. M. A. Hashem Bangladesh
Luca Di Nunzio Italy
Mubarak Almutairi Saudi Arabia
Javad Rezazadeh Iran
Muhammad Attique South Korea
Daeyoung Kim South Korea
Abdur Rahim Mohammad Forkan Australia
Murat Karabatak Türkiye
Ravinder Kumar India
Gabriella Casalino Italy
Kalamullah Ramli relative to M. M. A. Hashem Bangladesh M. M. A. Hashem's profile →
Citations per field
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M. M. A. Hashem · 1×
Citations per year

Countries citing papers authored by Kalamullah Ramli

Since Specialization
Citations

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

Fields of papers citing papers by Kalamullah Ramli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020101
2 202058
3 202049
4 202045
5 202037
6 202236
7 202036
8 202230
9 201529
10 201927
11 201824
12 201624
13 201823
14 202022
15 202320
16 201820
17 202119
18 201918
19
A Secure and Robust Image Encryption Based on Chaotic Permutation Multiple Circular Shrinking and Expanding.
201617
20 202316

About Kalamullah Ramli

Kalamullah Ramli is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 152 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (25 papers), Advanced Malware Detection Techniques (16 papers), Non-Invasive Vital Sign Monitoring (14 papers), Chaos-based Image/Signal Encryption (14 papers), Information and Cyber Security (13 papers), Heart Rate Variability and Autonomic Control (11 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Cryptographic Implementations and Security (8 papers). The work is most often cited by research in Signal Processing (179 citations), Computer Networks and Communications (285 citations), Artificial Intelligence (274 citations), Cardiology and Cardiovascular Medicine (166 citations) and Information Systems (183 citations). Kalamullah Ramli has collaborated with scholars based in Indonesia, Malaysia and United Kingdom. Frequent co-authors include Hendri Murfi, Teddy Surya Gunawan, Muhammad Suryanegara, Dodi Sudiana, Nur Hayati, Alfin Hikmaturokhman, Bernardi Pranggono, Charles Lim, Anak Agung Putri Ratna and Prima Dewi Purnamasari. Their work appears in journals such as IEEE Access, Applied Sciences, Sustainability, Informatics and Symmetry.

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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