Ashiq Anjum

3.0k total citations
100 papers, 1.8k citations indexed

About

Ashiq Anjum is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ashiq Anjum has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Networks and Communications, 27 papers in Information Systems and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ashiq Anjum's work include Distributed and Parallel Computing Systems (29 papers), IoT and Edge/Fog Computing (22 papers) and Scientific Computing and Data Management (18 papers). Ashiq Anjum is often cited by papers focused on Distributed and Parallel Computing Systems (29 papers), IoT and Edge/Fog Computing (22 papers) and Scientific Computing and Data Management (18 papers). Ashiq Anjum collaborates with scholars based in United Kingdom, United States and China. Ashiq Anjum's co-authors include Muhammad Ilyas, Zaheer Khan, Manu Sporny, A. Sill, Saad Liaquat Kiani, Richard McClatchey, Omer Rana, Rongbo Zhu, Kamran Soomro and Nik Bessis and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sensors.

In The Last Decade

Ashiq Anjum

93 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashiq Anjum United Kingdom	23	812	595	500	335	218	100	1.8k
Runhe Huang Japan	19	647 0.8×	438 0.7×	347 0.7×	553 1.7×	329 1.5×	149	2.0k
Pierfrancesco Bellini Italy	21	538 0.7×	385 0.6×	348 0.7×	307 0.9×	244 1.1×	122	1.9k
Stathes Hadjiefthymiades Greece	22	993 1.2×	604 1.0×	567 1.1×	526 1.6×	412 1.9×	179	2.2k
Christos Anagnostopoulos Greece	22	1.0k 1.3×	392 0.7×	444 0.9×	422 1.3×	317 1.5×	155	1.8k
Kostas Kolomvatsos Greece	16	547 0.7×	557 0.9×	235 0.5×	434 1.3×	134 0.6×	106	1.4k
Theodora Varvarigou Greece	28	1.4k 1.7×	1.2k 2.0×	537 1.1×	658 2.0×	214 1.0×	241	2.8k
Yuyu Yin China	27	1.1k 1.3×	1.1k 1.9×	434 0.9×	817 2.4×	373 1.7×	117	2.5k
Nik Bessis United Kingdom	28	1.6k 2.0×	1.0k 1.8×	348 0.7×	387 1.2×	395 1.8×	185	2.5k
Shengzhong Feng China	30	513 0.6×	617 1.0×	420 0.8×	745 2.2×	614 2.8×	108	2.8k
Michele Nitti Italy	22	2.0k 2.5×	914 1.5×	327 0.7×	431 1.3×	585 2.7×	60	2.7k

Countries citing papers authored by Ashiq Anjum

Since Specialization

Citations

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

Fields of papers citing papers by Ashiq Anjum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashiq Anjum

This figure shows the co-authorship network connecting the top 25 collaborators of Ashiq Anjum. A scholar is included among the top collaborators of Ashiq Anjum 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 Ashiq Anjum. Ashiq Anjum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhu, Ziquan, Lu Liu, Robert C. Free, Ashiq Anjum, & John Panneerselvam. (2024). OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks. Information Sciences. 680. 121141–121141. 26 indexed citations

Wang, Yunsheng, Xuewu Dai, Zhipei Huang, et al.. (2024). NAIR: An Efficient Distributed Deep Learning Architecture for Resource Constrained IoT System. IEEE Internet of Things Journal. 11(12). 21427–21439. 5 indexed citations

Anjum, Ashiq, et al.. (2023). Optimizing Data Distribution to Balance Scalability-Redundancy Trade-off for Collaborative Blockchain Storage. 249–255. 2 indexed citations

Yuan, Bo, et al.. (2022). A unified graph model based on molecular data binning for disease subtyping. Journal of Biomedical Informatics. 134. 104187–104187. 1 indexed citations

Gu, Jiayan, Ashiq Anjum, Yan Wu, et al.. (2022). The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. Journal of Cloud Computing Advances Systems and Applications. 11(1).

Mauro, Mario Di, et al.. (2021). Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. Sensors. 21(23). 7774–7774. 9 indexed citations

Yaseen, Muhammad Usman, Ashiq Anjum, Giancarlo Fortino, & Antonio Liotta. (2021). Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks. View. 5 indexed citations

Gu, Jiayan, Yan Wu, Ashiq Anjum, et al.. (2021). Optimization of service addition in multilevel index model for edge computing. Concurrency and Computation Practice and Experience. 35(13). 1 indexed citations

Li, Jianan, Jun Wu, Jianhua Li, et al.. (2021). Blockchain-Based Trust Edge Knowledge Inference of Multi-Robot Systems for Collaborative Tasks. IEEE Communications Magazine. 59(7). 94–100. 31 indexed citations

10.

Zamani, Ali, Javier Diaz‐Montes, Ioan Petri, et al.. (2017). Deadline Constrained Video Analysis via In-Transit Computational Environments. IEEE Transactions on Services Computing. 13(1). 59–72. 29 indexed citations

11.

Mian, Adnan Noor, et al.. (2014). Effects of Virtualization on Network and Processor Performance Using Open vSwitch and Xen Server. 762–767. 3 indexed citations

12.

Abdullah, Tariq, et al.. (2014). Traffic Monitoring Using Video Analytics in Clouds. University of Derby Online Research Archive. (University of Derby). 3550. 39–48. 27 indexed citations

13.

Anjum, Ashiq & Muhammad Ilyas. (2013). Activity recognition using smartphone sensors. University of Birmingham Research Portal (University of Birmingham). 914–919. 169 indexed citations

14.

McClatchey, Richard, Irfan Habib, Ashiq Anjum, et al.. (2013). Intelligent grid enabled services for neuroimaging analysis. Neurocomputing. 122. 88–99. 10 indexed citations

15.

Antonopoulos, Nick, Ashiq Anjum, & Lee Gillam. (2012). Intelligent techniques and architectures for autonomic clouds: introduction to the itaac special issue. Journal of Cloud Computing Advances Systems and Applications. 1(1). 18–18. 3 indexed citations

16.

Anjum, Ashiq, et al.. (2010). A fault tolerant, dynamic and low latency BDII architecture for grids. CERN Document Server (European Organization for Nuclear Research). 3(4). 2 indexed citations

17.

Habib, Irfan, Ashiq Anjum, Peter Bloodsworth, & Richard McClatchey. (2009). Neuroimaging analysis using grid aware planning and optimisation techniques. 138. 102–109. 2 indexed citations

18.

Anjum, Ashiq, Peter Bloodsworth, Andrew Branson, et al.. (2007). The Requirements for Ontologies in Medical Data Integration: A Case Study. 308–314. 15 indexed citations

19.

Ali, Arshad, Ashiq Anjum, Julian Bunn, et al.. (2005). Resource Management Services for a Grid Analysis Environment. 53–60. 5 indexed citations

20.

Ali, Arshad, et al.. (2004). Process maturity for software project outsourcing.. 1095–1098. 1 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.

Explore authors with similar magnitude of impact