Dost Muhammad Khan

518 citations
26 papers · 353 · h-index 11

Impact in

Papers in

    • Sentiment Analysis and Opinion Mining 4
    • Anomaly Detection Techniques and Applications 2
    • Advanced Text Analysis Techniques 2
    • Data Mining Algorithms and Applications 4
    • Spam and Phishing Detection 3

Dost Muhammad Khan

23 papers receiving 341 citations

Peers

Dost Muhammad Khan
Comparison fields: 5 of 88
  • Neurology 46
  • Artificial Intelligence 129
  • Computer Vision and Pattern Recognition 76
  • Analytical Chemistry 33
  • Health Information Management 10
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Citations per field
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Citations per year

Countries citing papers authored by Dost Muhammad Khan

Since Specialization
Citations

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

Fields of papers citing papers by Dost Muhammad Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dost Muhammad Khan. 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 Dost Muhammad Khan. The network helps show where Dost Muhammad Khan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 202056
3 202248
4 201935
5 202022
6 201718
7 202017
8 202117
9 201616
10 201912
11 202310
12 20209
13 20216
14
Formal Verification of Safety and Liveness Properties using Coloured Petri-Nets: A Flood Monitoring, Warning, and Rescue System
20185
15 20135
16
The Impact of Employees’ Turnover at the Productivity of a Software
20154
17 20203
18
The Adaptability of Conventional Data Mining Algorithms through Intelligent Mobile Agents in Modern Distributed Systems
20123
19
The Evaluation of Voice-over Internet Protocol (VoIP) by means of Trixbox
20162
20 20191

About Dost Muhammad Khan

Dost Muhammad Khan is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 353 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Network Security and Intrusion Detection (3 papers), Spam and Phishing Detection (3 papers), Anomaly Detection Techniques and Applications (2 papers), Data Management and Algorithms (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Neurology (46 citations), Artificial Intelligence (129 citations), Computer Vision and Pattern Recognition (76 citations), Analytical Chemistry (33 citations) and Health Information Management (10 citations). Dost Muhammad Khan has collaborated with scholars based in Pakistan, China and South Korea. Frequent co-authors include Salman Qadri, Saleem Ullah, Gyu Sang Choi, Arif Mehmood, Furqan Rustam, Muhammad Ahmad, Imran Ashraf, Syed Furqan Qadri, Aijaz Ahmad Reshi and Nadeem Akhtar. Their work appears in journals such as IEEE Access, International Journal of Food Properties, PeerJ Computer Science, BioMed Research International and Complexity.

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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