Nazeeruddin Mohammad

1.6k citations
86 papers · 989 · h-index 17

Impact in

Papers in

Nazeeruddin Mohammad

81 papers receiving 946 citations

Peers

Nazeeruddin Mohammad
Comparison fields: 5 of 100
  • Accounting 132
  • Computer Networks and Communications 265
  • Finance 91
  • Human-Computer Interaction 59
  • Health Informatics 13
Replace Saad M. Darwish with:
Saad M. Darwish Egypt
Tony Jan Australia
Ali Alzahrani Saudi Arabia
Mohammed Shuaib Saudi Arabia
Prashant Johri India
Yassine Maleh Morocco
Ranjit Panigrahi India
Samarjeet Borah India
Pushpita Chatterjee United States
Mohammad Ali Jabraeil Jamali Iran
Nazeeruddin Mohammad relative to Saad M. Darwish Egypt Saad M. Darwish's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nazeeruddin Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Nazeeruddin Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013122
2 202165
3 202249
4 202046
5 201844
6 202037
7 202135
8 201533
9 201929
10 201928
11 201928
12 202224
13 202123
14 202223
15 202320
16 202219
17 202417
18 202016
19 202115
20 202115

About Nazeeruddin Mohammad

Nazeeruddin Mohammad is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 86 papers that have together received 989 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Advanced Malware Detection Techniques (9 papers), IoT and Edge/Fog Computing (8 papers), Blockchain Technology Applications and Security (8 papers), Smart Grid Security and Resilience (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Information and Cyber Security (5 papers). The work is most often cited by research in Accounting (132 citations), Computer Networks and Communications (265 citations), Finance (91 citations), Human-Computer Interaction (59 citations) and Health Informatics (13 citations). Nazeeruddin Mohammad has collaborated with scholars based in Saudi Arabia, India and Australia. Frequent co-authors include Dawood Ashraf, Ghazanfar Latif, Majid Ali Khan, Jaafar M. Alghazo, Zubair Baig, Abul Bashar, Ghassen Ben Brahim, Naeem Syed, Alireza Jolfaei and D. N. F. Awang Iskandar. Their work appears in journals such as IEEE Access, Pacific-Basin Finance Journal, IEEE Internet of Things Journal, Applied Sciences and IEEE Transactions on Consumer Electronics.

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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