Mohib Ullah

2.5k citations
122 papers · 1.6k · h-index 21

Impact in

Papers in

Mohib Ullah

110 papers receiving 1.5k citations

Peers

Mohib Ullah
Comparison fields: 5 of 129
  • Computer Vision and Pattern Recognition 670
  • Artificial Intelligence 483
  • Experimental and Cognitive Psychology 169
  • Signal Processing 126
  • Small Animals 76
Replace Habib Ullah with:
Habib Ullah Norway
M. Kalaiselvi Geetha India
Manuel Domínguez-Morales Spain
Wasiq Khan United Kingdom
Toon De Pessemier Belgium
Yingjie Chen China
Giovanni Maria Farinella Italy
Abdelmalik Taleb‐Ahmed France
Yali Li China
Yi An China
Mohib Ullah relative to Habib Ullah Norway Habib Ullah's profile →
Citations per field
00.5×1.5×2×2.4×
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 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 2021100
3 201995
4 202288
5 202387
6 202275
7 202055
8 201850
9 201841
10 202440
11 202040
12 202140
13 201835
14 201831
15 201928
16 201627
17 201826
18 201725
19 202322
20 202422

About Mohib Ullah

Mohib Ullah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Small Animals, Media Technology and Signal Processing, having authored 122 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 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 Advanced Nanomaterials in Catalysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (670 citations), Artificial Intelligence (483 citations), Experimental and Cognitive Psychology (169 citations), Signal Processing (126 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 Mudassar Yamin, Muhammad Uzair, Basel Katt, Muhammad Husain As Sajjad, Abdulrahman Alreshidi, Mohammad Hijji and Ahmed Kedir Mohammed. Their work appears in journals such as IEEE Access, Journal of Information Security and Applications, Neurocomputing, Biomedical Signal Processing and Control and Alexandria Engineering Journal.

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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