Adnan Khashman

67 papers receiving 1.4k citations

Hit Papers

Deep learning in vision-based static hand gesture recogni...2016202620192022201650100150200250

Peers

Adnan Khashman
Comparison fields: 5 of 122
  • Artificial Intelligence 527
  • Computer Vision and Pattern Recognition 496
  • Accounting 232
  • Human-Computer Interaction 213
  • Health Information Management 136
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Saroj Kr. Biswas India
Sarah Jane Delany Ireland
Anca Ralescu United States
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Muazzam Maqsood Pakistan
Hedieh Sajedi Iran
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Countries citing papers authored by Adnan Khashman

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Khashman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Khashman

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Khashman. A scholar is included among the top collaborators of Adnan Khashman 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 Adnan Khashman. Adnan Khashman 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 3
3 79
4 6
5
Data Mining of Students' Performance Using Artificial Neural Network: Turkish Students as a Case Study
1
6 11
7 109
8 17
9
Image segmentation of blood cells in leukemia patients
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10 35
11
The diagnosis of bankruptcy risk using score function
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12
Blood Cell Identification Using Emotional Neural Networks
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13
Image compression using neural networks and haar wavelet
42
14 81
15 18
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Coin identification using neural networks
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17 16
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Deformed banknote identification using pattern averaging and neural networks
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19 0
20 0

About Adnan Khashman

Adnan Khashman is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Digital Imaging for Blood Diseases (8 papers) and Handwritten Text Recognition Techniques (8 papers). The work is most often cited by research in Human-Computer Interaction (213 citations), Health Information Management (136 citations) and Computer Vision and Pattern Recognition (496 citations). Adnan Khashman has collaborated with scholars based in Cyprus, Türkiye and United Kingdom. Frequent co-authors include Oyebade K. Oyedotun, Ebenezer O. Olaniyi, Kamil Dimililer, Boran Şekeroğlu, Nnamdi Nwulu, A. A. Adekunle, K.M. Curtis, Abdulkader Helwan, Arshad Muhammad and Ammar Zakaria. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

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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