Sultan Ahmad

137 papers receiving 2.3k citations

Peers

Sultan Ahmad
Comparison fields: 5 of 175
  • Endocrine and Autonomic Systems 267
  • Cellular and Molecular Neuroscience 646
  • Health Information Management 138
  • Health Informatics 35
  • Artificial Intelligence 417
Replace Murali Ramanathan with:
Murali Ramanathan United States
Stefano Vassanelli Italy
Sai Peck Lee Malaysia
Kazuyuki Murase Japan
Ming Tao China
Chi‐Hua Chen Taiwan
Guo‐Qiang Zhang United States
Hongmei He United Kingdom
Shin’ichi Satoh Japan
Rashmi K. Ambasta India
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Citations per field
00.5×7.9×
Murali Ramanathan · 1×
Citations per year

Countries citing papers authored by Sultan Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Sultan Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999287
2 1999212
3 2007144
4 2020108
5 200486
6 201957
7 199452
8 200350
9 202148
10 202046
11 202344
12 202143
13 202140
14 200338
15 199736
16 202335
17 202335
18 200733
19 202131
20 198929

About Sultan Ahmad

Sultan Ahmad is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 153 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Blockchain Technology Applications and Security (11 papers), AI in cancer detection (10 papers), IoT and Edge/Fog Computing (10 papers), Receptor Mechanisms and Signaling (9 papers), Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (9 papers) and COVID-19 diagnosis using AI (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (267 citations), Cellular and Molecular Neuroscience (646 citations), Health Information Management (138 citations), Health Informatics (35 citations) and Artificial Intelligence (417 citations). Sultan Ahmad has collaborated with scholars based in Saudi Arabia, India and Jordan. Frequent co-authors include Dajan O’Donnell, Philippe Walker, Claes Wahlestedt, Amin Ul Haq, Jianping Li, Hikmat A. M. Abdeljaber, Ghufran Ahmad Khan, Md. Alimul Haque, Jalaluddin Khan and Eric Grazzini. Their work appears in journals such as Journal of Nanoelectronics and Optoelectronics, IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Frontiers in Medicine and Peptides.

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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