Aniekan Essien

1.1k total citations · 1 hit paper
18 papers, 594 citations indexed

About

Aniekan Essien is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Aniekan Essien has authored 18 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Building and Construction and 3 papers in Transportation. Recurrent topics in Aniekan Essien's work include Traffic Prediction and Management Techniques (5 papers), Traffic control and management (4 papers) and Transportation Planning and Optimization (3 papers). Aniekan Essien is often cited by papers focused on Traffic Prediction and Management Techniques (5 papers), Traffic control and management (4 papers) and Transportation Planning and Optimization (3 papers). Aniekan Essien collaborates with scholars based in United Kingdom, United States and Nigeria. Aniekan Essien's co-authors include Cinzia Giannetti, Pedro Sampaio, Ilias Petrounias, Sandra Sampaio, Xianghan O’Dea, Marios Dominikos Kremantzis, Nikolai Kazantsev, Nachiappan Subramanian, Michael I. Friswell and Lagouge K. Tartibu and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, International Journal of Operations & Production Management and Supply Chain Management An International Journal.

In The Last Decade

Aniekan Essien

16 papers receiving 575 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The influence of AI text generators on critical thinking skills in UK business schools

2024 69 citations Aniekan Essien, Xianghan O’Dea et al. Studies in Higher Education profile →

Peers

Aniekan Essien

CSE

TRANS

IME

Javier Medina Spain

Alberto Fernández Spain

Wang Fei-yue China

Nafaâ Jabeur Oman

Xin Han China

Daqing Gong China

Mohammadhossein Ghahramani Macao

Miroslav Svítek Czechia

Susanna Pirttikangas Finland

Javier Medina Spain

Aniekan Essien

149 ×1.0

102 ×0.7

149 ×1.3

CSE

132 ×1.4

TRANS

34 ×0.4

IME

Citations per year, relative to Aniekan Essien Aniekan Essien (= 1×) peers Javier Medina

Countries citing papers authored by Aniekan Essien

Since Specialization

Citations

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

Fields of papers citing papers by Aniekan Essien

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniekan Essien

This figure shows the co-authorship network connecting the top 25 collaborators of Aniekan Essien. A scholar is included among the top collaborators of Aniekan Essien 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 Aniekan Essien. Aniekan Essien 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:

18 of 18 papers shown

Essuman, Dominic, Aniekan Essien, Jens K. Roehrich, et al.. (2025). Continental shift: operations and supply chain management research from an African perspective. International Journal of Operations & Production Management. 46(13). 26–51. 1 indexed citations

Essien, Aniekan, et al.. (2024). The influence of AI text generators on critical thinking skills in UK business schools. Studies in Higher Education. 49(5). 865–882. 69 indexed citations breakdown →

Kremantzis, Marios Dominikos, et al.. (2024). Variable RTS in hierarchical network DEA: Enhancing efficiency in higher education systems. Socio-Economic Planning Sciences. 96. 102112–102112.

Essien, Aniekan, et al.. (2024). Exploring socio-cultural influences on generative AI engagement in Nigerian higher education: an activity theory analysis. Smart Learning Environments. 11(1). 8 indexed citations

Essien, Aniekan, et al.. (2024). Comparative Analysis of Machine Learning Techniques for DDoS Intrusion Detection in IoT Environments. Bristol Research (University of Bristol). 19–27. 1 indexed citations

Essien, Aniekan, et al.. (2023). How can big data analytics improve outbound logistics in the UK retail sector? A qualitative study. Journal of Enterprise Information Management. 38(2). 424–449. 11 indexed citations

Essien, Aniekan, et al.. (2023). Unveiling the factors influencing transparency and traceability in agri-food supply chains: an interconnected framework. Supply Chain Management An International Journal. 29(3). 602–619. 12 indexed citations

Essien, Aniekan, et al.. (2022). Deep learning in hospitality and tourism: a research framework agenda for future research. International Journal of Contemporary Hospitality Management. 34(12). 4480–4515. 30 indexed citations

Okwu, Modestus O., et al.. (2022). Emerging Technologies of Industry 4.0: Challenges and Opportunities. Bristol Research (University of Bristol). 1–13. 13 indexed citations

10.

Giannetti, Cinzia & Aniekan Essien. (2021). Towards scalable and reusable predictive models for cyber twins in manufacturing systems. Journal of Intelligent Manufacturing. 33(2). 441–455. 14 indexed citations

11.

Chatterjee, Tanmoy, Aniekan Essien, Ranjan Ganguli, & Michael I. Friswell. (2021). The stochastic aeroelastic response analysis of helicopter rotors using deep and shallow machine learning. Neural Computing and Applications. 33(23). 16809–16828. 9 indexed citations

12.

Essien, Aniekan & Cinzia Giannetti. (2020). A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders. IEEE Transactions on Industrial Informatics. 16(9). 6069–6078. 214 indexed citations

13.

Essien, Aniekan, Ilias Petrounias, Pedro Sampaio, & Sandra Sampaio. (2020). A deep-learning model for urban traffic flow prediction with traffic events mined from twitter. World Wide Web. 24(4). 1345–1368. 116 indexed citations

14.

Essien, Aniekan & Cinzia Giannetti. (2019). A Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders. Bristol Research (University of Bristol). 1–6. 36 indexed citations

15.

Essien, Aniekan, Ilias Petrounias, Pedro Sampaio, & Sandra Sampaio. (2019). Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning. Research Explorer (The University of Manchester). 1–8. 39 indexed citations

16.

Essien, Aniekan, et al.. (2019). A Scalable Deep Convolutional LSTM Neural Network for Large-Scale Urban Traffic Flow Prediction using Recurrence Plots. Explore Bristol Research. 1–7. 9 indexed citations

17.

Essien, Aniekan, Ilias Petrounias, Pedro Sampaio, & Sandra Sampaio. (2019). Deep-PRESIMM: Integrating Deep Learning with Microsimulation for Traffic Prediction. Research Explorer (The University of Manchester). 7 indexed citations

18.

Meghanathan, Natarajan, et al.. (2016). A two-hop neighbor preference-based random network graph model with high clustering coefficient for modeling real-world complex networks. Egyptian Informatics Journal. 22(3). 389–400. 5 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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