Nasser Sherkat

751 total citations
73 papers, 489 citations indexed

About

Nasser Sherkat is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Nasser Sherkat has authored 73 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 23 papers in Human-Computer Interaction and 13 papers in Artificial Intelligence. Recurrent topics in Nasser Sherkat's work include Handwritten Text Recognition Techniques (25 papers), Hand Gesture Recognition Systems (11 papers) and Gaze Tracking and Assistive Technology (9 papers). Nasser Sherkat is often cited by papers focused on Handwritten Text Recognition Techniques (25 papers), Hand Gesture Recognition Systems (11 papers) and Gaze Tracking and Assistive Technology (9 papers). Nasser Sherkat collaborates with scholars based in United Kingdom, Egypt and Tunisia. Nasser Sherkat's co-authors include Ahmad Lotfi, Eman M. G. Younis, Eiman Kanjo, Caroline Langensiepen, Andreas Hennig, Adel M. Alimi, David J. Brown, Trevor Allen, Peter Thomas and Penny Standen and has published in prestigious journals such as Pattern Recognition, Knowledge-Based Systems and Information Fusion.

In The Last Decade

Nasser Sherkat

72 papers receiving 458 citations

Peers

Nasser Sherkat
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 251
  • Human-Computer Interaction 130
  • Artificial Intelligence 116
  • Cognitive Neuroscience 49
  • Control and Systems Engineering 47
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Citations per field, relative to Nasser Sherkat
Nasser Sherkat · 1×
Citations per year, relative to Nasser Sherkat
Nasser Sherkat · 1×

Countries citing papers authored by Nasser Sherkat

Since Specialization
Citations

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

Fields of papers citing papers by Nasser Sherkat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasser Sherkat

This figure shows the co-authorship network connecting the top 25 collaborators of Nasser Sherkat. A scholar is included among the top collaborators of Nasser Sherkat 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 Nasser Sherkat. Nasser Sherkat 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
# Work Indexed citations
1 28
2
Supporting students with learning and physical disabilities using a mobile robot platform
5
3
Occupant behaviour prediction in ambient intelligence computing environment
27
4 1
5 10
6 1
7 0
8 2
9 5
10 3
11 1
12 3
13 4
14
Using machine learning methods to simulate non-deterministic parameters for a robot arm
1
15
Zone estimation for multiple lines of handwriting using approximating spline functions
4
16
Detecting a document's skew: A simple stochastic approach
2
17 4
18 2
19 1
20
A Fuzzy Reasoning Rule-Based System for Lace Pattern Detection.
3

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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