Rehanullah Khan

29 papers receiving 996 citations

Hit Papers

Random Forests and Decision Trees20122026201620212012100200300400

Peers

Rehanullah Khan
Comparison fields: 5 of 163
  • Computer Vision and Pattern Recognition 211
  • Artificial Intelligence 211
  • Electrical and Electronic Engineering 152
  • Computer Networks and Communications 125
  • Biomedical Engineering 96
Replace Farid García‐Lamont with:
Farid García‐Lamont Mexico
Na Dong China
Anwer Mustafa Hilal Saudi Arabia
Wasiq Khan United Kingdom
A. K. Malik India
Ata Jahangir Moshayedi China
Ajay Shrestha United States
Brian C. Van Essen United States
Stefan Westberg United States
Richard Jiang United Kingdom
Rehanullah Khan relative to Farid García‐Lamont Mexico Farid García‐Lamont's profile →
Citations per field
00.5×3.7×
Farid García‐Lamont · 1×
Citations per year

Countries citing papers authored by Rehanullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Rehanullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rehanullah Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Rehanullah Khan. A scholar is included among the top collaborators of Rehanullah 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 Rehanullah Khan. Rehanullah 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 2
2 13
3 91
4 1
5 69
6
The impact of cyclone Aila on the sundarban forest ecosystem
12
7 83
8 4
9 15
10 1
11 10
12 30
13
WiMAX Based Audio/Video Transmission
2
14 10
15
Intelligent Car Parking Management System On FPGA
6
16
Random Forests and Decision Treesbreakdown →
486
17 9
18
ILLUMINATION CORRECTION FOR STATIC SKIN FILTERS
0
19
Static Filtered Skin Detection
4
20
Augmentation of Skin Segmentation.
1

About Rehanullah Khan

Rehanullah Khan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Health Information Management (43 citations) and Human-Computer Interaction (43 citations). Rehanullah Khan has collaborated with scholars based in Pakistan, Saudi Arabia and Austria. Frequent co-authors include Imran Maqsood, Nasir Ahmad, Jehad Ali, Allan Hanbury, Julian Stöttinger, Abdul Bais, Salim El Khediri, Tarek Moulahi, Manisha Sirsat and Eva Cernadas. Their work appears in journals such as Computers and Electronics in Agriculture, Energies and Pattern Recognition Letters.

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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