Dost Muhammad Khan

510 citations
25 papers · 345 indexed · h-index 11
Topics
Data Mining Algorithms and Applications (4 papers)Spam and Phishing Detection (3 papers)Sentiment Analysis and Opinion Mining (3 papers)
Partner nations
PakistanChinaSouth Korea

In The Last Decade

Dost Muhammad Khan

23 papers receiving 331 citations

Peers

Dost Muhammad Khan
Comparison fields: 5 of 91
  • Artificial Intelligence 128
  • Computer Vision and Pattern Recognition 78
  • Plant Science 47
  • Neurology 44
  • Information Systems 42
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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-authorship network of co-authors of Dost Muhammad Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Dost Muhammad Khan. A scholar is included among the top collaborators of Dost Muhammad Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dost Muhammad Khan. Dost Muhammad Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 5
4 17
5 9
6 57
7 3
8 57
9 15
10 23
11 12
12 33
13
Formal Verification of Safety and Liveness Properties using Coloured Petri-Nets: A Flood Monitoring, Warning, and Rescue System
5
14 18
15 16
16
The Evaluation of Voice-over Internet Protocol (VoIP) by means of Trixbox
2
17
The Impact of Employees’ Turnover at the Productivity of a Software
4
18 5
19
The Adaptability of Conventional Data Mining Algorithms through Intelligent Mobile Agents in Modern Distributed Systems
3
20
A multiagent system (MAS) for the generation of initial centroids for k-means clustering data mining algorithm based on actual sample datapoints
1

About Dost Muhammad Khan

Dost Muhammad Khan is a scholar working on Media Technology, Information Systems and Analytical Chemistry, having authored 25 papers that have together received 345 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Spam and Phishing Detection (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Neurology (44 citations), Artificial Intelligence (128 citations) and Computer Vision and Pattern Recognition (78 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, BioMed Research International and International Journal of Food Properties.

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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