Nadeem Anjum
-
- Video Surveillance and Tracking Methods 12
- Human Pose and Action Recognition 5
- Advanced Vision and Imaging 5
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 7
-
- IoT and Edge/Fog Computing 4
- Network Security and Intrusion Detection 3
-
- Artificial Intelligence in Healthcare 4
-
- Robotics and Sensor-Based Localization 4
- Co-authors
- Andrea CavallaroNaeem RamzanSami BourouisAbeer D. AlgarniJawaid IqbalSyed Sajid UllahSaddam HussainAbdul Basit Siddiqui
- Partner nations
- PakistanUnited KingdomUnited States
In The Last Decade
Nadeem Anjum
41 papers receiving 490 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 215
- Signal Processing 53
- Artificial Intelligence 151
- Management Science and Operations Research 54
- Computer Networks and Communications 98
Countries citing papers authored by Nadeem Anjum
This map shows the geographic impact of Nadeem Anjum'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 Nadeem Anjum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadeem Anjum more than expected).
Fields of papers citing papers by Nadeem Anjum
This network shows the impact of papers produced by Nadeem Anjum. 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 Nadeem Anjum. The network helps show where Nadeem Anjum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nadeem Anjum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 7 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 76 | |
| 10 | 2023 | 20 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 29 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 17 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 4 | |
| 19 | 2018 | 1 | |
| 20 | 2015 | 9 |
About Nadeem Anjum
Nadeem Anjum is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Computer Networks and Communications, having authored 49 papers that have together received 527 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Anomaly Detection Techniques and Applications (7 papers), Human Pose and Action Recognition (5 papers), Advanced Vision and Imaging (5 papers), IoT and Edge/Fog Computing (4 papers), Artificial Intelligence in Healthcare (4 papers), Robotics and Sensor-Based Localization (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Signal Processing (53 citations) and Artificial Intelligence (151 citations). Nadeem Anjum has collaborated with scholars based in Pakistan, United Kingdom and United States. Frequent co-authors include Andrea Cavallaro, Naeem Ramzan, Sami Bourouis, Abeer D. Algarni, Jawaid Iqbal, Syed Sajid Ullah, Saddam Hussain, Abdul Basit Siddiqui, Murtaza Taj and Abdullah Alhumaidi Alotaibi. Their work appears in journals such as PLoS ONE, Social Science & Medicine and IEEE Access.
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.