Ivan Jordanov

1.2k total citations
53 papers, 706 citations indexed

About

Ivan Jordanov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ivan Jordanov has authored 53 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ivan Jordanov's work include Neural Networks and Applications (10 papers), Industrial Vision Systems and Defect Detection (6 papers) and Wireless Signal Modulation Classification (5 papers). Ivan Jordanov is often cited by papers focused on Neural Networks and Applications (10 papers), Industrial Vision Systems and Defect Detection (6 papers) and Wireless Signal Modulation Classification (5 papers). Ivan Jordanov collaborates with scholars based in United Kingdom, Bulgaria and Australia. Ivan Jordanov's co-authors include Antoniya Georgieva, Alessio Petrozziello, Shengfeng Qin, David Wright, Ivan Popov, Christopher W.G. Redman, Aris T. Papageorghiou, Frederic Stahl, R. Harrison and Andrew West and has published in prestigious journals such as European Journal of Operational Research, IEEE Access and Pattern Recognition.

In The Last Decade

Ivan Jordanov

47 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Jordanov United Kingdom	16	197	124	115	98	97	53	706
Frank Ortmeier Germany	16	186 0.9×	136 1.1×	123 1.1×	40 0.4×	47 0.5×	76	783
Ningbo Zhu China	17	397 2.0×	358 2.9×	29 0.3×	78 0.8×	15 0.2×	49	958
Shan Lu China	18	111 0.6×	60 0.5×	85 0.7×	18 0.2×	158 1.6×	157	1.1k
Alberto Mozó Spain	15	176 0.9×	67 0.5×	68 0.6×	21 0.2×	21 0.2×	50	719
Muhammad Khusairi Osman Malaysia	18	323 1.6×	253 2.0×	33 0.3×	4 0.0×	53 0.5×	144	987
Derya Avcı Türkiye	19	500 2.5×	305 2.5×	19 0.2×	9 0.1×	36 0.4×	47	1.3k
V. Petridis Greece	23	626 3.2×	155 1.3×	52 0.5×	3 0.0×	67 0.7×	70	2.0k
Khaled H. Almotairi Saudi Arabia	18	324 1.6×	125 1.0×	22 0.2×	3 0.0×	20 0.2×	42	820
Piotr Porwik Poland	17	190 1.0×	332 2.7×	13 0.1×	18 0.2×	14 0.1×	79	786

Countries citing papers authored by Ivan Jordanov

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Jordanov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Jordanov

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

Jordanov, Ivan, et al.. (2024). Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth Outcomes. 259–266. 1 indexed citations

Jordanov, Ivan, et al.. (2023). Multimodal Deep Learning for Predicting Adverse Birth Outcomes Based on Early Labour Data. Bioengineering. 10(6). 730–730. 9 indexed citations

Jordanov, Ivan, et al.. (2022). A HYBRID DILATION APPROACH FOR REMOTE SENSING SCENE IMAGE CLASSIFICATION. 17(2). 2 indexed citations

Petrozziello, Alessio, Christopher W.G. Redman, Aris T. Papageorghiou, Ivan Jordanov, & Antoniya Georgieva. (2019). Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery. IEEE Access. 7. 112026–112036. 68 indexed citations

Petrozziello, Alessio, et al.. (2018). Deep Learning for Continuous Electronic Fetal Monitoring in Labor. PubMed. 2018. 5866–5869. 41 indexed citations

Petrozziello, Alessio, et al.. (2018). Distributed Neural Networks for Missing Big Data Imputation. Portsmouth Research Portal (University of Portsmouth). 1–8. 6 indexed citations

Petrozziello, Alessio & Ivan Jordanov. (2017). Data Analytics for Online Travelling Recommendation System: A Case Study. 3 indexed citations

Jordanov, Ivan. (2016). Seals of the Personages From the Alexiad Found in Veliki Praslav. Vestnik Volgogradskogo gosudarstvennogo universiteta Serija 4 Istorija Regionovedenie Mezhdunarodnye otnoshenija. 21(5). 19–31.

Popov, Ivan, et al.. (2015). Feature selection for surface defect classification of extruded aluminum profiles. The International Journal of Advanced Manufacturing Technology. 83(1-4). 33–41. 64 indexed citations

10.

Jordanov, Ivan, et al.. (2013). Radar Emitter Signals Recognition and Classification with Feedforward Networks. Procedia Computer Science. 22. 1192–1200. 45 indexed citations

11.

Jordanov, Ivan & Lakhmi C. Jain. (2012). Innovations in Intelligent Machines -3: Contemporary Achievements in Intelligent Systems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

12.

Wright, Jonathan A. & Ivan Jordanov. (2012). Intelligent approaches in locomotion. 55. 1–8. 4 indexed citations

13.

Jordanov, Ivan & Lakhmi C. Jain. (2012). Innovations in Intelligent Machines -3. Studies in computational intelligence. 5 indexed citations

14.

Setchi, Rossitza, Ivan Jordanov, Robert J. Howlett, & Lakhmi C. Jain. (2010). Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III. 1 indexed citations

15.

Georgieva, Antoniya & Ivan Jordanov. (2009). Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks. IEEE Transactions on Neural Networks. 20(4). 675–685. 20 indexed citations

16.

Georgieva, Antoniya & Ivan Jordanov. (2006). Supervised Neural Network Training with a Hybrid Global Optimization Technique. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 3. 3401–3408. 6 indexed citations

17.

Georgieva, Antoniya & Ivan Jordanov. (2005). A hybrid heuristic method for global optimization. 3 pp.–3 pp.. 1 indexed citations

18.

Qin, Shengfeng, David Wright, & Ivan Jordanov. (2000). From on-line sketching to 2D and 3D geometry: a system based on fuzzy knowledge. Computer-Aided Design. 32(14). 851–866. 53 indexed citations

19.

Qin, Shengfeng, et al.. (1999). Freehand drawing system using a fuzzy logic concept. Computer-Aided Design. 31(5). 359–360. 6 indexed citations

20.

Jordanov, Ivan, et al.. (1988). Optimal design of linear and non-linear dynamic vibration absorbers. Journal of Sound and Vibration. 123(1). 157–170. 55 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