Tomasz Maniak

430 total citations
11 papers, 298 citations indexed

About

Tomasz Maniak is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Control and Systems Engineering. According to data from OpenAlex, Tomasz Maniak has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Civil and Structural Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Tomasz Maniak's work include Fault Detection and Control Systems (3 papers), Neural Networks and Applications (2 papers) and Machine Learning and ELM (2 papers). Tomasz Maniak is often cited by papers focused on Fault Detection and Control Systems (3 papers), Neural Networks and Applications (2 papers) and Machine Learning and ELM (2 papers). Tomasz Maniak collaborates with scholars based in United Kingdom, United Arab Emirates and Greece. Tomasz Maniak's co-authors include Charalampos Karyotis, Rahat Iqbal, Faiyaz Doctor, Rahat Iqbal, Vasile Palade, Chrisina Jayne, Saad Amin and Nikos Passas and has published in prestigious journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Industrial Informatics.

In The Last Decade

Tomasz Maniak

11 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomasz Maniak United Kingdom	7	79	62	62	46	44	11	298
Huanbing Gao China	7	66 0.8×	52 0.8×	55 0.9×	44 1.0×	50 1.1×	21	356
Jianqi Zhang China	9	36 0.5×	102 1.6×	33 0.5×	59 1.3×	35 0.8×	25	292
Jing Dai China	9	60 0.8×	27 0.4×	64 1.0×	34 0.7×	24 0.5×	25	321
Xiaoxi Hu China	12	182 2.3×	91 1.5×	71 1.1×	105 2.3×	69 1.6×	47	468
Zongyi Xing China	9	90 1.1×	32 0.5×	66 1.1×	129 2.8×	49 1.1×	59	316
Bifeng Song China	11	56 0.7×	60 1.0×	58 0.9×	41 0.9×	20 0.5×	39	423
Kai Michels Germany	8	114 1.4×	47 0.8×	84 1.4×	33 0.7×	43 1.0×	22	262
Yachao Yuan Germany	10	25 0.3×	151 2.4×	59 1.0×	50 1.1×	45 1.0×	14	334
Surekha Paneerselvam India	5	53 0.7×	32 0.5×	52 0.8×	47 1.0×	75 1.7×	19	289

Countries citing papers authored by Tomasz Maniak

Since Specialization

Citations

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

Fields of papers citing papers by Tomasz Maniak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Maniak

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Maniak. A scholar is included among the top collaborators of Tomasz Maniak 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 Tomasz Maniak. Tomasz Maniak 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

Doctor, Faiyaz, et al.. (2024). An AI-Based Digital Twin Framework for Intelligent Traffic Management in Singapore. 1–6. 3 indexed citations

Karyotis, Charalampos, et al.. (2024). AI-Driven Optimization of Small Cell Deployment for Beyond 5G Networks. Procedia Computer Science. 238. 908–913. 5 indexed citations

Maniak, Tomasz, et al.. (2022). Deep Neural Networks for Transmission Impairment Mitigation in Long-Reach 5G Access Networks. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Iqbal, Rahat, et al.. (2022). Convolution neural networks for pothole detection of critical road infrastructure. Computers & Electrical Engineering. 99. 107725–107725. 54 indexed citations

Iqbal, Rahat, et al.. (2021). Deep Neural Networks Based Approach for Pothole Detection. Pure (Coventry University). 1–4. 6 indexed citations

Maniak, Tomasz, Rahat Iqbal, & Faiyaz Doctor. (2020). Hierarchical Spatial-Temporal State Machine for Vehicle Instrument Cluster Manufacturing. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4131–4140. 16 indexed citations

Iqbal, Rahat, Tomasz Maniak, Faiyaz Doctor, & Charalampos Karyotis. (2019). Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches. IEEE Transactions on Industrial Informatics. 15(5). 3077–3084. 157 indexed citations

Karyotis, Charalampos, et al.. (2019). Deep Learning for Flood Forecasting and Monitoring in Urban Environments. 1392–1397. 11 indexed citations

Iqbal, Rahat, Tomasz Maniak, & Charalampos Karyotis. (2019). Intelligent Remote Monitoring of Parking Spaces Using Licensed and Unlicensed Wireless Technologies. IEEE Network. 33(4). 23–29. 20 indexed citations

10.

Maniak, Tomasz, Chrisina Jayne, Rahat Iqbal, & Faiyaz Doctor. (2014). Automated intelligent system for sound signalling device quality assurance. Information Sciences. 294. 600–611. 17 indexed citations

11.

Maniak, Tomasz, Rahat Iqbal, Faiyaz Doctor, & Chrisina Jayne. (2013). Automated Sound Signalling Device Quality Assurance Tool for Embedded Industrial Control Applications. Pure (Coventry University). 4812–4818. 7 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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