Salman Jan

888 citations
33 papers · 545 · h-index 13

Impact in

Papers in

    • Blockchain Technology Applications and Security 5
    • Security and Verification in Computing 3
    • Hate Speech and Cyberbullying Detection 3
    • Anomaly Detection Techniques and Applications 3

Salman Jan

26 papers receiving 516 citations

Peers

Salman Jan
Comparison fields: 5 of 85
  • Information Systems 296
  • Human-Computer Interaction 36
  • Computer Networks and Communications 141
  • Management Information Systems 51
  • Signal Processing 55
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Citations per field
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Citations per year

Countries citing papers authored by Salman Jan

Since Specialization
Citations

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

Fields of papers citing papers by Salman Jan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 202268
3 202034
4 202230
5 202027
6 201926
7 202025
8 202323
9 202420
10 201717
11 201917
12 202413
13 201913
14 202011
15 202210
16
Deep Convolutional Generative Adversarial Networks for Intent-based Dynamic Behavior Capture
20189
17 20226
18 20156
19 20166
20 20242

About Salman Jan

Salman Jan is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 545 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Blockchain Technology Applications and Security (5 papers), FinTech, Crowdfunding, Digital Finance (4 papers), Network Security and Intrusion Detection (4 papers), Security and Verification in Computing (3 papers), Hate Speech and Cyberbullying Detection (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Information Systems (296 citations), Human-Computer Interaction (36 citations), Computer Networks and Communications (141 citations), Management Information Systems (51 citations) and Signal Processing (55 citations). Salman Jan has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Toqeer Ali Syed, Ali Alzahrani, Adnan Nadeem, Muhammad Shoaib Siddiqui, Turki Alghamdi, Shahrulniza Musa, Atif Khan, Ahmad B. Alkhodre, Abdallah Namoun and Mohammad Nauman. Their work appears in journals such as IEEE Access, Sensors, Scientific Reports, Frontiers in Marine Science and Applied Sciences.

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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