Kola Babalola

1.8k total citations
18 papers, 394 citations indexed

About

Kola Babalola is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Computational Mechanics. According to data from OpenAlex, Kola Babalola has authored 18 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 3 papers in Geometry and Topology and 3 papers in Computational Mechanics. Recurrent topics in Kola Babalola's work include Medical Image Segmentation Techniques (9 papers), Face recognition and analysis (3 papers) and Morphological variations and asymmetry (3 papers). Kola Babalola is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Face recognition and analysis (3 papers) and Morphological variations and asymmetry (3 papers). Kola Babalola collaborates with scholars based in United Kingdom, Nigeria and United States. Kola Babalola's co-authors include T.F. Cootes, Brian Patenaude, Carole Twining, Mark Jenkinson, Chris Taylor, David N. Kennedy, Stephen M. Smith, Paul Aljabar, William R. Crum and Julia A. Schnabel and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Neuropsychopharmacology.

In The Last Decade

Kola Babalola

16 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kola Babalola United Kingdom 8 210 130 51 44 43 18 394
M.B. Stegmann Denmark 7 257 1.2× 187 1.4× 24 0.5× 34 0.8× 66 1.5× 9 525
Steven L. Hartmann United States 8 221 1.1× 191 1.5× 54 1.1× 113 2.6× 61 1.4× 13 523
Ion‐Florin Talos United States 14 174 0.8× 279 2.1× 42 0.8× 169 3.8× 95 2.2× 22 627
Xiaolan Zeng United States 5 398 1.9× 192 1.5× 45 0.9× 50 1.1× 77 1.8× 9 596
Jan Rexilius Germany 11 75 0.4× 176 1.4× 35 0.7× 27 0.6× 18 0.4× 30 333
Lotta M. Ellingsen United States 12 173 0.8× 214 1.6× 83 1.6× 105 2.4× 116 2.7× 27 590
Alexandre Guimond Canada 9 433 2.1× 375 2.9× 46 0.9× 83 1.9× 92 2.1× 14 769
Nicolas Toussaint United Kingdom 13 81 0.4× 310 2.4× 23 0.5× 93 2.1× 69 1.6× 23 573
Gerard Sanromà Spain 14 274 1.3× 109 0.8× 91 1.8× 35 0.8× 36 0.8× 28 510
Bill Lorensen United States 5 256 1.2× 109 0.8× 11 0.2× 61 1.4× 29 0.7× 8 478

Countries citing papers authored by Kola Babalola

Since Specialization
Citations

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

Fields of papers citing papers by Kola Babalola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kola Babalola

This figure shows the co-authorship network connecting the top 25 collaborators of Kola Babalola. A scholar is included among the top collaborators of Kola Babalola 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 Kola Babalola. Kola Babalola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Hartley, Matthew, et al.. (2023). Pictures at an exhibition: How to share your imaging data. Journal of Microscopy. 296(2). 145–149. 1 indexed citations
2.
Babalola, Kola, et al.. (2021). Determining Mice Sex from Chest X-rays using Deep Learning. 91–93.
3.
Babalola, Kola, et al.. (2014). A Three-Dimensional Numerical Simulator for Expansion-Drive Reservoirs. SPE Nigeria Annual International Conference and Exhibition.
4.
Babalola, Kola, Andrew Gait, & T.F. Cootes. (2013). A parts-and-geometry initialiser for 3D non-rigid registration using features derived from spin images. Neurocomputing. 120. 113–120. 4 indexed citations
5.
Babalola, Kola & T.F. Cootes. (2010). Using parts and geometry models to initialise Active Appearance Models for automated segmentation of 3D medical images. Research Explorer (The University of Manchester). 5747. 1069–1072. 11 indexed citations
6.
Cootes, T.F., Carole Twining, Vladimir Petrović, Kola Babalola, & Chris Taylor. (2009). Computing Accurate Correspondences across Groups of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(11). 1994–2005. 43 indexed citations
7.
Talbot, Peter S., Cyril P. Clarke, Kola Babalola, et al.. (2009). Brain Serotonin Transporter Occupancy by Oral Sibutramine Dosed to Steady State: A PET Study Using 11C-DASB in Healthy Humans. Neuropsychopharmacology. 35(3). 741–751. 23 indexed citations
8.
Babalola, Kola & T.F. Cootes. (2009). AAM Segmentation of the Mandible and Brainstem. 2 indexed citations
9.
Babalola, Kola, Brian Patenaude, Paul Aljabar, et al.. (2009). An evaluation of four automatic methods of segmenting the subcortical structures in the brain. NeuroImage. 47(4). 1435–1447. 159 indexed citations
10.
Babalola, Kola, Brian Patenaude, Paul Aljabar, et al.. (2008). Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI. Lecture notes in computer science. 11(Pt 1). 409–416. 61 indexed citations
11.
Babalola, Kola, et al.. (2008). 3D Brain Segmentation Using Active Appearance Models and Local Regressors. Lecture notes in computer science. 11(Pt 1). 401–408. 29 indexed citations
12.
Babalola, Kola, et al.. (2007). Automatic Segmentation of the Caudate Nuclei using Active Appearance Models. 7 indexed citations
13.
Babalola, Kola, T.F. Cootes, Brian Patenaude, A. Rao, & Mark Jenkinson. (2006). Comparing the Similarity of Statistical Shape Models Using the Bhattacharya Metric. Lecture notes in computer science. 9(Pt 1). 142–150. 5 indexed citations
14.
Graham, J, Kola Babalola, William G. Honer, et al.. (2006). Lateral Asymmetry in the Shape of Brain Ventricles in Control and Schizophrenia Groups. Research Explorer (The University of Manchester). 414–417. 6 indexed citations
15.
Babalola, Kola & T.F. Cootes. (2006). Registering Richly Labelled 3D Images. 2082. 868–871. 4 indexed citations
16.
Babalola, Kola & T.F. Cootes. (2006). Groupwise registration of richly labelled images. Research Explorer (The University of Manchester). 226–230. 1 indexed citations
17.
Babalola, Kola, et al.. (2006). An Artificial Synapse for Interfacing to Biological Neurons. 1123–1126. 4 indexed citations
18.
Cootes, T.F., Carole Twining, Kola Babalola, & Chris Taylor. (2006). Diffeomorphic statistical shape models. Image and Vision Computing. 26(3). 326–332. 34 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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