John Klein

587 total citations
22 papers, 362 citations indexed

About

John Klein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, John Klein has authored 22 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Management Science and Operations Research. Recurrent topics in John Klein's work include Multi-Criteria Decision Making (6 papers), Bayesian Modeling and Causal Inference (5 papers) and AI in cancer detection (4 papers). John Klein is often cited by papers focused on Multi-Criteria Decision Making (6 papers), Bayesian Modeling and Causal Inference (5 papers) and AI in cancer detection (4 papers). John Klein collaborates with scholars based in France, Czechia and Cameroon. John Klein's co-authors include Olivier Colot, Haoping Wang, Yang Tian, Shanzhi Li, Dominique Pasquier, Tomáš Pevný, N. Reynaert, Patrick Bas, T. Lacornerie and Sébastien Destercke and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Vehicular Technology and Physics in Medicine and Biology.

In The Last Decade

John Klein

20 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Klein France 11 121 93 90 72 69 22 362
Vikas Pratap Singh India 12 81 0.7× 166 1.8× 136 1.5× 10 0.1× 74 1.1× 31 409
Michel Salomon France 10 57 0.5× 29 0.3× 62 0.7× 76 1.1× 11 0.2× 41 305
Asma Abu-Samah Malaysia 12 40 0.3× 247 2.7× 43 0.5× 15 0.2× 30 0.4× 53 508
Henri Ruotsalainen Austria 11 23 0.2× 157 1.7× 43 0.5× 11 0.2× 51 0.7× 31 282
Chun-li Xie China 10 167 1.4× 14 0.2× 43 0.5× 7 0.1× 131 1.9× 27 353

Countries citing papers authored by John Klein

Since Specialization
Citations

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

Fields of papers citing papers by John Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Klein

This figure shows the co-authorship network connecting the top 25 collaborators of John Klein. A scholar is included among the top collaborators of John Klein 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 John Klein. John Klein 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.
Fernández-Pérez, Daniel, Jean‐Claude Lavoie, Nilay Gandhi, et al.. (2025). First-in-US Pilot Study of Aquablation in Ambulatory Surgery Centers: Clinical Outcomes and Economic Feasibility. Urology. 207. 220–224.
2.
Septier, François, et al.. (2022). State space partitioning based on constrained spectral clustering for block particle filtering. Signal Processing. 201. 108727–108727. 11 indexed citations
3.
Bas, Patrick, et al.. (2022). Backpack: A Backpropagable Adversarial Embedding Scheme. IEEE Transactions on Information Forensics and Security. 17. 3539–3554. 7 indexed citations
4.
Versari, Cristian, et al.. (2022). Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentation. Computers in Biology and Medicine. 152. 106454–106454. 1 indexed citations
5.
Septier, François, et al.. (2021). Block Kalman Filter: An Asymptotic Block Particle Filter in the Linear Gaussian Case. HAL (Le Centre pour la Communication Scientifique Directe). 5574–5578. 1 indexed citations
6.
7.
Klein, John, et al.. (2020). MR to CT synthesis with multicenter data in the pelvic area using a conditional generative adversarial network. Physics in Medicine and Biology. 65(7). 75002–75002. 56 indexed citations
8.
Bas, Patrick, et al.. (2020). Explicit Optimization of min max Steganographic Game. IEEE Transactions on Information Forensics and Security. 16. 812–823. 49 indexed citations
9.
Klein, John, et al.. (2020). SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiers. Expert Systems with Applications. 150. 113332–113332. 4 indexed citations
10.
Bouscayrol, Alain, et al.. (2019). Impact of the Velocity Profile on Energy Consumption of Electric Vehicles. IEEE Transactions on Vehicular Technology. 68(12). 11420–11426. 34 indexed citations
11.
Destercke, Sébastien, et al.. (2019). From set relations to belief function relations. International Journal of Approximate Reasoning. 110. 46–63. 2 indexed citations
12.
Klein, John, Sébastien Destercke, & Olivier Colot. (2017). Idempotent conjunctive and disjunctive combination of belief functions by distance minimization. International Journal of Approximate Reasoning. 92. 32–48. 9 indexed citations
13.
14.
Klein, John, Sébastien Destercke, & Olivier Colot. (2016). Interpreting evidential distances by connecting them to partial orders: Application to belief function approximation. International Journal of Approximate Reasoning. 71. 15–33. 11 indexed citations
15.
Li, Shanzhi, et al.. (2016). Direct power control of DFIG wind turbine systems based on an intelligent proportional-integral sliding mode control. ISA Transactions. 64. 431–439. 78 indexed citations
16.
Klein, John, et al.. (2015). Evidential Matrix Metrics as Distances Between Meta-Data Dependent Bodies of Evidence. IEEE Transactions on Cybernetics. 46(1). 109–122. 6 indexed citations
17.
Klein, John, et al.. (2014). New distances between bodies of evidence based on Dempsterian specialization matrices and their consistency with the conjunctive combination rule. International Journal of Approximate Reasoning. 55(5). 1093–1112. 15 indexed citations
18.
Klein, John, et al.. (2013). Automatic extraction of pectoral muscle in the MLO view of mammograms. Physics in Medicine and Biology. 58(23). 8493–8515. 10 indexed citations
19.
Klein, John & Olivier Colot. (2011). Singular sources mining using evidential conflict analysis. International Journal of Approximate Reasoning. 52(9). 1433–1451. 10 indexed citations
20.
Klein, John, et al.. (2009). Hierarchical and conditional combination of belief functions induced by visual tracking. International Journal of Approximate Reasoning. 51(4). 410–428. 22 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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