Israr Ullah

1.5k total citations
48 papers, 1.1k citations indexed

About

Israr Ullah is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Israr Ullah has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 10 papers in Information Systems and 9 papers in Artificial Intelligence. Recurrent topics in Israr Ullah's work include IoT and Edge/Fog Computing (13 papers), Building Energy and Comfort Optimization (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Israr Ullah is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Building Energy and Comfort Optimization (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). Israr Ullah collaborates with scholars based in South Korea, Pakistan and Malaysia. Israr Ullah's co-authors include Do‐Hyeun Kim, Shabir Ahmad, Lei Hang, Muhammad Fayaz, Muddassar Farooq, Faisal Mehmood, Rashid Ahmad, Faisal Jamil, Sehrish Malik and Dong-Hwan Park and has published in prestigious journals such as IEEE Access, Information Sciences and Sustainability.

In The Last Decade

Israr Ullah

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Israr Ullah South Korea 20 358 285 260 143 138 48 1.1k
Alfonso González‐Briones Spain 19 195 0.5× 224 0.8× 235 0.9× 184 1.3× 137 1.0× 63 1.1k
Ali Yavari Australia 15 277 0.8× 211 0.7× 178 0.7× 118 0.8× 176 1.3× 61 926
Amit Sharma India 17 264 0.7× 191 0.7× 191 0.7× 196 1.4× 123 0.9× 50 1.2k
Xiangpei Hu China 22 246 0.7× 150 0.5× 146 0.6× 120 0.8× 168 1.2× 102 1.6k
Ricardo S. Alonso Spain 16 338 0.9× 196 0.7× 191 0.7× 128 0.9× 131 0.9× 47 911
Sergio Trilles Spain 21 308 0.9× 129 0.5× 426 1.6× 157 1.1× 128 0.9× 60 1.3k
Pablo Chamoso Spain 15 225 0.6× 245 0.9× 139 0.5× 218 1.5× 65 0.5× 59 1.0k
Sachin Sharma India 19 395 1.1× 350 1.2× 395 1.5× 280 2.0× 118 0.9× 284 1.7k
Suresh Sankaranarayanan India 16 306 0.9× 190 0.7× 292 1.1× 173 1.2× 135 1.0× 101 1.1k
Faris A. Almalki Saudi Arabia 20 512 1.4× 252 0.9× 525 2.0× 204 1.4× 116 0.8× 56 1.6k

Countries citing papers authored by Israr Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Israr Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Israr Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Israr Ullah. A scholar is included among the top collaborators of Israr Ullah 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 Israr Ullah. Israr Ullah 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
1.
Khan, Muzammil, et al.. (2024). A Novel Lightweight CNN for Constrained IoT Devices: Achieving High Accuracy With Parameter Efficiency on the MSTAR Dataset. IEEE Access. 12. 160284–160298. 2 indexed citations
2.
Ullah, Israr, et al.. (2023). Enhanced Water Quality Control Based on Predictive Optimization for Smart Fish Farming. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5471–5499. 4 indexed citations
3.
Ullah, Israr, et al.. (2022). Toward Autonomous Farming—A Novel Scheme Based on Learning to Prediction and Optimization for Smart Greenhouse Environment Control. IEEE Internet of Things Journal. 9(24). 25300–25323. 18 indexed citations
4.
Hang, Lei, et al.. (2022). An improved Kalman filter using ANN-based learning module to predict transaction throughput of blockchain network in clinical trials. Peer-to-Peer Networking and Applications. 16(2). 520–537. 6 indexed citations
5.
Ullah, Israr, et al.. (2021). Optimization-assisted water supplement mechanism with energy efficiency in IoT based greenhouse. Journal of Intelligent & Fuzzy Systems. 40(5). 10163–10182. 10 indexed citations
6.
Mehmood, Faisal, Shabir Ahmad, Israr Ullah, Faisal Jamil, & Do‐Hyeun Kim. (2021). Towards a Dynamic Virtual IoT Network Based on User Requirements. Computers, materials & continua/Computers, materials & continua (Print). 69(2). 2231–2244. 4 indexed citations
7.
Mehmood, Faisal, Israr Ullah, Shabir Ahmad, & Do‐Hyeun Kim. (2020). A Novel Approach towards the Design and Implementation of Virtual Network Based on Controller in Future IoT Applications. Electronics. 9(4). 604–604. 13 indexed citations
8.
Malik, Sehrish, et al.. (2020). Heuristic and Statistical Prediction Algorithms Survey for Smart Environments. Journal of Information Processing Systems. 16(5). 1196–1213. 2 indexed citations
9.
Ahmad, Shabir, Israr Ullah, Faisal Jamil, & Do‐Hyeun Kim. (2020). Toward the Optimal Operation of Hybrid Renewable Energy Resources in Microgrids. Energies. 13(20). 5482–5482. 19 indexed citations
10.
Ahmad, Shabir, et al.. (2020). An Optimization Scheme Based on Fuzzy Logic Control for Efficient Energy Consumption in Hydroponics Environment. Energies. 13(2). 289–289. 28 indexed citations
11.
Khan, Zulfiqar Ali, Israr Ullah, Muhammad Ibrahim, et al.. (2020). Virtualization Based Efficient Service Matching and Discovery in Internet of Things. Electronics. 9(6). 1007–1007. 3 indexed citations
12.
Hang, Lei, Israr Ullah, & Do‐Hyeun Kim. (2020). A secure fish farm platform based on blockchain for agriculture data integrity. Computers and Electronics in Agriculture. 170. 105251–105251. 152 indexed citations
13.
Mehmood, Faisal, Israr Ullah, Shabir Ahmad, & Do‐Hyeun Kim. (2019). Object detection mechanism based on deep learning algorithm using embedded IoT devices for smart home appliances control in CoT. Journal of Ambient Intelligence and Humanized Computing. 48 indexed citations
14.
Ullah, Israr, Shakeel Ahmad, Faisal Mehmood, & Do‐Hyeun Kim. (2019). Cloud Based IoT Network Virtualization for Supporting Dynamic Connectivity among Connected Devices. Electronics. 8(7). 742–742. 21 indexed citations
15.
Ahmad, Shabir, et al.. (2019). A Stochastic Approach Towards Travel Route Optimization and Recommendation Based on Users Constraints Using Markov Chain. IEEE Access. 7. 90760–90776. 20 indexed citations
16.
Ullah, Israr, Muhammad Fayaz, & Do‐Hyeun Kim. (2019). Improving Accuracy of the Kalman Filter Algorithm in Dynamic Conditions Using ANN-Based Learning Module. Symmetry. 11(1). 94–94. 34 indexed citations
17.
Jin, Wenquan, Israr Ullah, Shabir Ahmad, & Do‐Hyeun Kim. (2019). Occupant Comfort Management Based on Energy Optimization Using an Environment Prediction Model in Smart Homes. Sustainability. 11(4). 997–997. 23 indexed citations
18.
Iqbal, Ahmed, et al.. (2019). A Classification Framework to Detect DoS Attacks. International Journal of Computer Network and Information Security. 11(9). 40–47. 15 indexed citations
19.
20.
Ullah, Israr & Do‐Hyeun Kim. (2018). IoT Resource Management using Direct Discovery Mechanism in OCF Framework. International Journal of Grid and Distributed Computing. 11(5). 1–10. 2 indexed citations

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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