Mudassir Khan

793 citations
41 papers · 385 indexed · h-index 12
Topics
IoT and Edge/Fog Computing (5 papers)Artificial Intelligence in Healthcare (5 papers)COVID-19 diagnosis using AI (3 papers)

In The Last Decade

Mudassir Khan

27 papers receiving 344 citations

Peers

Mudassir Khan
Comparison fields: 5 of 73
  • Information Systems 132
  • Artificial Intelligence 97
  • Computer Networks and Communications 87
  • Electrical and Electronic Engineering 57
  • Computer Vision and Pattern Recognition 47
Replace Abedallah Zaid Abualkishik with:
Abedallah Zaid Abualkishik United Arab Emirates
Sujala D. Shetty United Arab Emirates
Y. Ding China
Marco Luca Sbodio Ireland
Shahanawaj Ahamad Saudi Arabia
Aman Jatain India
Hessah A. Alsalamah Saudi Arabia
O‐Joun Lee South Korea
Majid Alshammari Saudi Arabia
Rohitash Kumar Banyal India
Mudassir Khan relative to Abedallah Zaid Abualkishik United Arab Emirates Abedallah Zaid Abualkishik's profile →
Citations per field
00.5×1.5×2.3×
Abedallah Zaid Abualkishik · 1×
Citations per year

Countries citing papers authored by Mudassir Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mudassir Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudassir Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mudassir Khan. A scholar is included among the top collaborators of Mudassir 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 Mudassir Khan. Mudassir 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 0
2 0
3 0
4 1
5 0
6 1
7 2
8 2
9 0
10 3
11 3
12 12
13 55
14 1
15 0
16 0
17 9
18 2
19 58
20 16

About Mudassir Khan

Mudassir Khan is a scholar working on Health Information Management, Business and International Management and Artificial Intelligence, having authored 41 papers that have together received 385 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Artificial Intelligence in Healthcare (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Information Systems (132 citations), Signal Processing (44 citations) and Computer Networks and Communications (87 citations). Mudassir Khan has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Mohd Dilshad Ansari, Ashutosh Sharma, Rupert Young, Ting Li, Chris Chatwin, J. Chinna Babu, Ajmeera Kiran, Shakila Basheer, P. Chinnasamy and Ashwag Albakri. Their work appears in journals such as PLoS ONE, Frontiers in Plant Science and Energies.

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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