Richard Labib

527 total citations
25 papers, 419 citations indexed

About

Richard Labib is a scholar working on Artificial Intelligence, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Richard Labib has authored 25 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Mechanical Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Richard Labib's work include Neural Networks and Applications (9 papers), Neural dynamics and brain function (3 papers) and Advanced Memory and Neural Computing (3 papers). Richard Labib is often cited by papers focused on Neural Networks and Applications (9 papers), Neural dynamics and brain function (3 papers) and Advanced Memory and Neural Computing (3 papers). Richard Labib collaborates with scholars based in Canada, United Kingdom and France. Richard Labib's co-authors include Jean Rousselle, Michel Bernier, Philippe Pasquier, Angelo Zarrella, Gilles Savard, Pascal Perrier, Shadi Sharif Azadeh, Paul Stuart, Éric Boilard and Isabelle St‐Amour and has published in prestigious journals such as Cellular and Molecular Life Sciences, Applied Thermal Engineering and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Richard Labib

20 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Labib Canada 9 197 145 111 82 60 25 419
Shanhong Zhang China 15 53 0.3× 56 0.4× 78 0.7× 16 0.2× 134 2.2× 38 694
Yusuf Essam Malaysia 7 184 0.9× 31 0.2× 147 1.3× 27 0.3× 76 1.3× 10 382
Chang Ao China 14 104 0.5× 14 0.1× 163 1.5× 100 1.2× 50 0.8× 43 760
Wenxin Sun China 15 48 0.2× 47 0.3× 127 1.1× 8 0.1× 34 0.6× 62 841
Haiyang Shi China 12 85 0.4× 26 0.2× 161 1.5× 30 0.4× 153 2.5× 43 459
Alireza Ghaemi Iran 11 336 1.7× 15 0.1× 293 2.6× 50 0.6× 138 2.3× 18 632
Victor H. Quej Mexico 6 123 0.6× 217 1.5× 125 1.1× 22 0.3× 265 4.4× 15 652
Ashvini Kumar India 16 69 0.4× 749 5.2× 258 2.3× 120 1.5× 11 0.2× 54 1.1k

Countries citing papers authored by Richard Labib

Since Specialization
Citations

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

Fields of papers citing papers by Richard Labib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Labib

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Labib. A scholar is included among the top collaborators of Richard Labib 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 Richard Labib. Richard Labib 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.
2.
Alpaugh, Melanie, Juan Lantero‐Rodriguez, Andréa Lessa Benedet, et al.. (2025). Tau levels in platelets isolated from Huntington’s disease patients serve as a biomarker of disease severity. Journal of Neurology. 272(3). 254–254.
3.
Labib, Richard, et al.. (2024). Backpropagation-based inference for spatial interpolation to estimate the blastability index in an open pit mine. Computers & Geosciences. 194. 105756–105756. 1 indexed citations
4.
Rose, Christopher M., Philippe Pasquier, Alain Nguyen, & Richard Labib. (2024). Short-term transfer function approximation using artificial neural network in a heterogeneous medium with groundwater advection. PolyPublie (École Polytechnique de Montréal). 2 indexed citations
5.
Gamache, Michel, et al.. (2023). Machine learning algorithms for real-time coal recognition using monitor-while-drilling data. International Journal of Mining Reclamation and Environment. 38(1). 27–52. 2 indexed citations
6.
Denis, Hélèna L., Melanie Alpaugh, Alexis Fenyi, et al.. (2023). Detection of antibodies against the huntingtin protein in human plasma. Cellular and Molecular Life Sciences. 80(2). 45–45. 4 indexed citations
7.
Lamontagne‐Proulx, Jérôme, Isabelle St‐Amour, Richard Labib, et al.. (2018). Portrait of blood-derived extracellular vesicles in patients with Parkinson’s disease. Neurobiology of Disease. 124. 163–175. 39 indexed citations
8.
Pasquier, Philippe, Angelo Zarrella, & Richard Labib. (2018). Application of artificial neural networks to near-instant construction of short-term g-functions. Applied Thermal Engineering. 143. 910–921. 33 indexed citations
9.
Labib, Richard, et al.. (2016). Closed-form evaluation of integrals involving the gamma function. Communication in Statistics- Theory and Methods. 46(17). 8328–8342.
10.
Kolus, Ahmet, et al.. (2014). Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches. Applied Ergonomics. 45(6). 1475–1483. 10 indexed citations
11.
Labib, Richard, et al.. (2013). Model of an Excitatory Synapse Based on Stochastic Processes. IEEE Transactions on Neural Networks and Learning Systems. 24(9). 1449–1458. 1 indexed citations
12.
Labib, Richard, et al.. (2012). ON THE LEARNING POTENTIAL OF THE APPROXIMATED QUANTRON. International Journal of Neural Systems. 22(3). 1250010–1250010. 2 indexed citations
13.
Labib, Richard, et al.. (2010). Prediction of activated sludge filamentous bulking using ATP data and neural networks. The Canadian Journal of Chemical Engineering. 89(4). 901–913. 17 indexed citations
14.
Labib, Richard, et al.. (2009). A Multiscale Scheme for Approximating the Quantron's Discriminating Function. IEEE Transactions on Neural Networks. 20(8). 1254–1266. 5 indexed citations
15.
Labib, Richard, et al.. (2006). Modified multi-layered perceptron applied to packing and covering problems. Neural Computing and Applications. 16(2). 173–186. 3 indexed citations
16.
Labib, Richard, et al.. (2005). HARDWARE IMPLEMENTATION OF A NEW ARTIFICIAL NEURON. International Journal of Neural Systems. 15(6). 427–433. 1 indexed citations
17.
Bernier, Michel, et al.. (2004). A Multiple Load Aggregation Algorithm for Annual Hourly Simulations of GCHP Systems. HVAC&R Research. 10(4). 471–487. 116 indexed citations
18.
Labib, Richard. (2003). New single neuron structure for solving nonlinear problems. PolyPublie (École Polytechnique de Montréal). 1. 617–620. 24 indexed citations
19.
Labib, Richard, et al.. (2002). Performance of Neural Networks in Daily Streamflow Forecasting. Journal of Hydrologic Engineering. 7(5). 392–398. 132 indexed citations
20.
Lefebvre, Mario & Richard Labib. (1996). HITTING LINES and CIRCLES WITH DIFFUSION PROCESSES. Australian Journal of Statistics. 38(2). 213–222. 1 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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