Ali Salah Hashim

412 total citations
11 papers, 279 citations indexed

About

Ali Salah Hashim is a scholar working on Information Systems, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Ali Salah Hashim has authored 11 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Computer Science Applications and 4 papers in Computer Networks and Communications. Recurrent topics in Ali Salah Hashim's work include Online Learning and Analytics (5 papers), IoT and Edge/Fog Computing (3 papers) and Artificial Intelligence in Healthcare (3 papers). Ali Salah Hashim is often cited by papers focused on Online Learning and Analytics (5 papers), IoT and Edge/Fog Computing (3 papers) and Artificial Intelligence in Healthcare (3 papers). Ali Salah Hashim collaborates with scholars based in Iraq and Malaysia. Ali Salah Hashim's co-authors include Alaa Khalaf Hamoud, Zainuddin Hassan and Mohammed Hashim and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Interactive Multimedia and Artificial Intelligence and Informatica.

In The Last Decade

Ali Salah Hashim

10 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Salah Hashim Iraq	6	157	98	83	40	35	11	279
Kamal Uddin Sarker Malaysia	9	219 1.4×	106 1.1×	122 1.5×	47 1.2×	78 2.2×	24	369
Tahani Alsubait Saudi Arabia	11	67 0.4×	169 1.7×	88 1.1×	13 0.3×	36 1.0×	31	296
Omiros Iatrellis Greece	9	176 1.1×	116 1.2×	87 1.0×	24 0.6×	60 1.7×	33	311
Najmi Ghani Haider Pakistan	5	340 2.2×	154 1.6×	95 1.1×	71 1.8×	63 1.8×	13	445
Erbuğ Çelebi Cyprus	9	49 0.3×	70 0.7×	45 0.5×	17 0.4×	10 0.3×	24	283
Khamisi Kalegele Tanzania	7	87 0.6×	51 0.5×	62 0.7×	17 0.4×	87 2.5×	33	253
Raghad Al-Shabandar United Kingdom	7	189 1.2×	125 1.3×	50 0.6×	25 0.6×	54 1.5×	13	318
Andy Laws United Kingdom	10	101 0.6×	107 1.1×	42 0.5×	12 0.3×	29 0.8×	23	298
Vladimir L. Uskov United States	8	72 0.5×	34 0.3×	84 1.0×	16 0.4×	42 1.2×	13	206
Mirza Suljić Bosnia and Herzegovina	4	291 1.9×	170 1.7×	119 1.4×	63 1.6×	41 1.2×	12	374

Countries citing papers authored by Ali Salah Hashim

Since Specialization

Citations

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

Fields of papers citing papers by Ali Salah Hashim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Salah Hashim. 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 Ali Salah Hashim. The network helps show where Ali Salah Hashim may publish in the future.

Co-authorship network of co-authors of Ali Salah Hashim

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

All Works

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11 of 11 papers shown

1.

Hashim, Ali Salah, et al.. (2023). Non-dominated Sorting Genetic Optimization-based Fog Cloudlet Computing for Wireless Metropolitan Area Networks. Informatica. 47(10). 1 indexed citations

2.

Hamoud, Alaa Khalaf, et al.. (2022). OLAP Mining with Educational Data Mart to Predict Students’ Performance. Informatica. 46(5). 10 indexed citations

3.

Hashim, Ali Salah, et al.. (2022). Efficiently Secure Data Communications Based on CBC-RC6 and the Overflow Field of Timestamp Option in an IPv4 Packet. Informatica. 46(6). 2 indexed citations

4.

Hashim, Ali Salah, et al.. (2020). A REVIEW ON INTERNET OF THINGS ARCHITECTURE FOR BIG DATA PROCESSING. SHILAP Revista de lepidopterología. 46(1). 11–19. 5 indexed citations

5.

Hashim, Ali Salah, et al.. (2020). Student Performance Prediction Model based on Supervised Machine Learning Algorithms. IOP Conference Series Materials Science and Engineering. 928(3). 32019–32019. 78 indexed citations

6.

Hashim, Ali Salah, et al.. (2019). A Review of Various Steganography Techniques in Cloud Computing. University of Thi-Qar Journal of Science. 7(1). 113–119. 4 indexed citations

7.

Hamoud, Alaa Khalaf, et al.. (2018). Analyzing Students’ Answers Using Association Rule Mining Based on Feature Selection. SSRN Electronic Journal. 11 indexed citations

8.

Hamoud, Alaa Khalaf, et al.. (2018). CLINICAL DATA WAREHOUSE A REVIEW. SHILAP Revista de lepidopterología. 44(2). 11 indexed citations

9.

Hamoud, Alaa Khalaf, et al.. (2018). Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis. International Journal of Interactive Multimedia and Artificial Intelligence. 5(2). 26–31. 135 indexed citations

10.

Hamoud, Alaa Khalaf, et al.. (2017). Studentss Success Prediction Based on Bayes Algorithms. SSRN Electronic Journal. 3 indexed citations

11.

Hassan, Zainuddin, et al.. (2015). Factors Influence the Adoption of Cloud Computing: A Comprehensive Review. 19 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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