Mohib Ullah

2.3k citations
118 papers · 1.4k · h-index 21

Impact in

Papers in

    • Video Surveillance and Tracking Methods 24
    • Human Pose and Action Recognition 14
    • Advanced Image and Video Retrieval Techniques 7
    • Face recognition and analysis 6
    • Anomaly Detection Techniques and Applications 15
    • Domain Adaptation and Few-Shot Learning 5

Mohib Ullah

103 papers receiving 1.4k citations

Peers

Mohib Ullah
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 665
  • Artificial Intelligence 461
  • Experimental and Cognitive Psychology 160
  • Signal Processing 124
  • Small Animals 76
Replace Habib Ullah with:
Habib Ullah Norway
Santosh Kumar India
Manuel Domínguez-Morales Spain
Wasiq Khan United Kingdom
Matthias Zeppelzauer Austria
Giovanni Maria Farinella Italy
Abdelmalik Taleb‐Ahmed France
Md. Al Mehedi Hasan Bangladesh
Yali Li China
Kitsuchart Pasupa Thailand
Mohib Ullah relative to Habib Ullah Norway Habib Ullah's profile →
Citations per field
00.5×4.6×
Habib Ullah · 1×
Citations per year

Countries citing papers authored by Mohib Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Mohib Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohib Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohib Ullah Line = papers co-authored together Mohib Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 2021100
3 201993
4 202376
5 202272
6 202266
7 202055
8 201851
9 202040
10 202140
11 201839
12 201834
13 201832
14 201928
15 201628
16 201827
17 202426
18 201726
19 201622
20 201720

About Mohib Ullah

Mohib Ullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering and Small Animals, having authored 118 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (24 papers), Anomaly Detection Techniques and Applications (15 papers), Human Pose and Action Recognition (14 papers), Animal Behavior and Welfare Studies (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Remote-Sensing Image Classification (6 papers), Face recognition and analysis (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (665 citations), Artificial Intelligence (461 citations), Experimental and Cognitive Psychology (160 citations), Signal Processing (124 citations) and Small Animals (76 citations). Mohib Ullah has collaborated with scholars based in Norway, Pakistan and Saudi Arabia. Frequent co-authors include Faouzi Alaya Cheikh, Habib Ullah, Sultan Daud Khan, Muhammad Uzair, Muhammad Mudassar Yamin, Basel Katt, Muhammad Sajjad, Abdulrahman Alreshidi, Ahmed Mohammed and Mohammad Hijji. Their work appears in journals such as IEEE Access, Biomedical Signal Processing and Control, Alexandria Engineering Journal, Wireless Personal Communications and Neurocomputing.

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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