Haruna Chiroma

5.7k total citations · 4 hit papers
132 papers, 3.6k citations indexed

About

Haruna Chiroma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Haruna Chiroma has authored 132 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 28 papers in Computer Networks and Communications and 28 papers in Information Systems. Recurrent topics in Haruna Chiroma's work include IoT and Edge/Fog Computing (13 papers), Market Dynamics and Volatility (13 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Haruna Chiroma is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Market Dynamics and Volatility (13 papers) and Metaheuristic Optimization Algorithms Research (12 papers). Haruna Chiroma collaborates with scholars based in Nigeria, Malaysia and Saudi Arabia. Haruna Chiroma's co-authors include Shafi’i Muhammad Abdulhamid, Tutut Herawan, Mohamed Hashem, Kayode S. Adewole, Abdullah Gani, Adamu Abubakar, Nor Badrul Anuar, Ejaz Ahmed, Ibrar Yaqoob and Victor Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Haruna Chiroma

126 papers receiving 3.4k citations

Hit Papers

The role of big data in s... 2016 2026 2019 2022 2016 2019 2020 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haruna Chiroma Nigeria 33 1.2k 841 791 504 411 132 3.6k
Rashid Mehmood Saudi Arabia 33 936 0.8× 658 0.8× 1.1k 1.4× 598 1.2× 397 1.0× 141 4.0k
Yunchuan Sun China 28 816 0.7× 739 0.9× 804 1.0× 520 1.0× 368 0.9× 138 2.9k
Rongfang Bie China 28 885 0.7× 586 0.7× 899 1.1× 651 1.3× 642 1.6× 174 3.2k
M. Mazhar Rathore South Korea 26 615 0.5× 701 0.8× 1.1k 1.4× 432 0.9× 385 0.9× 65 3.0k
Awais Ahmad South Korea 36 1.1k 0.9× 989 1.2× 1.8k 2.3× 880 1.7× 866 2.1× 188 4.8k
Francesco Marcelloni Italy 37 2.4k 2.0× 847 1.0× 727 0.9× 636 1.3× 516 1.3× 212 4.9k
Jing He China 30 1.1k 0.9× 1.1k 1.3× 1.0k 1.3× 499 1.0× 526 1.3× 300 3.7k
Paolo Nesi Italy 27 610 0.5× 833 1.0× 739 0.9× 305 0.6× 700 1.7× 240 3.3k
Sagheer Abbas Pakistan 40 1.4k 1.2× 1.0k 1.2× 991 1.3× 556 1.1× 713 1.7× 150 4.6k
Anand Paul South Korea 36 973 0.8× 887 1.1× 1.8k 2.2× 966 1.9× 941 2.3× 168 4.8k

Countries citing papers authored by Haruna Chiroma

Since Specialization
Citations

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

Fields of papers citing papers by Haruna Chiroma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruna Chiroma

This figure shows the co-authorship network connecting the top 25 collaborators of Haruna Chiroma. A scholar is included among the top collaborators of Haruna Chiroma 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 Haruna Chiroma. Haruna Chiroma 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.
Danyaro, Kamaluddeen Usman, et al.. (2025). Hallucinations in Large Language Models for Education: Challenges and Mitigation. 4(6). 13–19.
2.
Ghazilla, Raja Ariffin Raja, Mukhtar Fatihu Hamza, Hwa Jen Yap, et al.. (2025). Ergonomic assessment of a multi-joint actuated lower extremity exoskeleton to assist dynamic lifting and carrying tasks. Scientific Reports. 15(1). 31868–31868.
3.
Oyelade, Olaide N., et al.. (2024). A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions. Multimedia Tools and Applications. 84(19). 20439–20496. 5 indexed citations
4.
Chiroma, Haruna, Mohamed Hashem, & Mohammed Maray. (2024). Bibliometric analysis for artificial intelligence in the internet of medical things: mapping and performance analysis. Frontiers in Artificial Intelligence. 7. 1347815–1347815. 2 indexed citations
5.
Chamnongthai, Kosin, et al.. (2024). sign-Net: Depth Sensor Aggregated Frame-Based Fourier Network for Sign Word Recognition. IEEE Sensors Journal. 24(22). 37630–37645. 4 indexed citations
7.
Almutairi, Mubarak, Khalid Almutairi, & Haruna Chiroma. (2023). Selecting Features That Influence Vehicle Collisions in the Internet of Vehicles Based on a Multi-Objective Hybrid Bi-Directional NSGA-III. Applied Sciences. 13(4). 2064–2064. 2 indexed citations
8.
Faruk, Nasir, Yusuf Olayinka Imam-Fulani, Kayode S. Adewole, et al.. (2022). ANN-based model for multiband path loss prediction in built-up environments. Scientific African. 17. e01350–e01350. 7 indexed citations
9.
Chiroma, Haruna, et al.. (2020). Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks. PeerJ Computer Science. 6. e313–e313. 27 indexed citations
10.
Ezugwu, Absalom E., et al.. (2020). A Comparative Performance Study of Hybrid Firefly Algorithms for Automatic Data Clustering. IEEE Access. 8. 121089–121118. 42 indexed citations
11.
Al-Garadi, Mohammed Ali, Mohammad Rashid Hussain, Nawsher Khan, et al.. (2019). Predicting Cyberbullying on Social Media in the Big Data Era Using Machine Learning Algorithms: Review of Literature and Open Challenges. IEEE Access. 7. 70701–70718. 110 indexed citations
12.
Hamid, Suraya, et al.. (2019). The utilization of learning analytics to develop student engagement model in learning management system. Journal of Physics Conference Series. 1339(1). 12096–12096. 5 indexed citations
13.
Herawan, Tutut, et al.. (2017). A Review on Soft Set-Based Parameter Reduction and Decision Making. IEEE Access. 5. 4671–4689. 30 indexed citations
14.
Chiroma, Haruna & Sameem Abdul Kareem. (2016). Neuro-genetic model for crude oil price prediction while considering the impact of uncertainties. International Journal of Oil Gas and Coal Technology. 6 indexed citations
15.
Chiroma, Haruna, et al.. (2015). Intelligent Decision Support Systems for Oil Price Forecasting. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Chiroma, Haruna, Sameem Abdul Kareem, Abdullah Khan, et al.. (2015). Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm. PLoS ONE. 10(8). e0136140–e0136140. 39 indexed citations
17.
Nawi, Nazri Mohd, Abdullah Khan, Muhammad Zubair Rehman, Haruna Chiroma, & Tutut Herawan. (2015). Weight Optimization in Recurrent Neural Networks with Hybrid Metaheuristic Cuckoo Search Techniques for Data Classification. Mathematical Problems in Engineering. 2015. 1–12. 35 indexed citations
18.
Gital, Abdulsalam Ya’u, Abdul Samad Ismail, & Haruna Chiroma. (2014). Performance evaluation of TCP congestion control algorithms throughput for CVE based on cloud computing model. Journal of Theoretical and Applied Information Technology. 70(1). 9–18. 1 indexed citations
19.
Gital, Abdulsalam Ya’u, Abdul Samad Ismail, Min Chen, & Haruna Chiroma. (2014). A framework for the design of cloud based Collaborative Virtual Environment architecture. International MultiConference of Engineers and Computer Scientists. 12 indexed citations
20.
Abubakar, Adamu, et al.. (2014). Cryptanalytic Attacks on Rivest, Shamir, and Adleman (RSA) Cryptosystem: Issues and Challenges. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 33(1). 60–70. 10 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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