Rahul Prasanna Kumar

721 total citations
28 papers, 455 citations indexed

About

Rahul Prasanna Kumar is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Surgery. According to data from OpenAlex, Rahul Prasanna Kumar has authored 28 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Biomedical Engineering and 10 papers in Surgery. Recurrent topics in Rahul Prasanna Kumar's work include Surgical Simulation and Training (8 papers), Augmented Reality Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Rahul Prasanna Kumar is often cited by papers focused on Surgical Simulation and Training (8 papers), Augmented Reality Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Rahul Prasanna Kumar collaborates with scholars based in Norway, Armenia and United Kingdom. Rahul Prasanna Kumar's co-authors include Ole Jakob Elle, Egidijus Pelanis, Bjørn Edwin, Henrik Brun, Davit L. Aghayan, Rafael Palomar, Åsmund Avdem Fretland, S Birkeland, Frank Lindseth and Ola Wiig and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Rahul Prasanna Kumar

25 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Prasanna Kumar Norway 11 242 216 178 84 47 28 455
Egidijus Pelanis Norway 10 240 1.0× 188 0.9× 168 0.9× 55 0.7× 35 0.7× 22 401
Didier Mutter France 10 305 1.3× 120 0.6× 160 0.9× 58 0.7× 102 2.2× 21 471
Rafael Palomar Norway 10 129 0.5× 135 0.6× 165 0.9× 31 0.4× 18 0.4× 19 312
Matthias Peterhans Switzerland 13 367 1.5× 256 1.2× 258 1.4× 90 1.1× 59 1.3× 38 619
Mahdi Azizian United States 12 243 1.0× 167 0.8× 298 1.7× 34 0.4× 38 0.8× 25 488
Christophe Koehl France 9 270 1.1× 376 1.7× 268 1.5× 147 1.8× 39 0.8× 11 664
Lilian Calvet France 11 189 0.8× 179 0.8× 146 0.8× 28 0.3× 23 0.5× 27 331
Nazim Haouchine United States 12 175 0.7× 217 1.0× 185 1.0× 40 0.5× 21 0.4× 30 393
Nikhil V. Navkar Qatar 15 313 1.3× 239 1.1× 257 1.4× 45 0.5× 38 0.8× 52 476
Ahmed El‐Gendi Egypt 10 323 1.3× 154 0.7× 110 0.6× 21 0.3× 117 2.5× 16 550

Countries citing papers authored by Rahul Prasanna Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Prasanna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rahul Prasanna Kumar. 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 Rahul Prasanna Kumar. The network helps show where Rahul Prasanna Kumar may publish in the future.

Co-authorship network of co-authors of Rahul Prasanna Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Prasanna Kumar. A scholar is included among the top collaborators of Rahul Prasanna Kumar 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 Rahul Prasanna Kumar. Rahul Prasanna Kumar 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.
Pelanis, Egidijus, Rahul Prasanna Kumar, Andreas Abildgaard, et al.. (2025). Challenges and artificial intelligence solutions for clinically optimal hepatic venous vessel segmentation. Biomedical Signal Processing and Control. 106. 107822–107822. 1 indexed citations
2.
Ullah, Mohib, et al.. (2024). A dual-encoder double concatenation Y-shape network for precise volumetric liver and lesion segmentation. Computers in Biology and Medicine. 179. 108870–108870. 2 indexed citations
3.
Kumar, Rahul Prasanna, et al.. (2023). Automated structuring of gait data for analysis purposes - A deep learning pilot example. PubMed. 2023. 1–5.
4.
Kumar, Rahul Prasanna & Yunyi Jia. (2023). Situational Intelligence-Based Vehicle Trajectory Prediction in an Unstructured Off-Road Environment. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
5.
Kumar, Rahul Prasanna, et al.. (2022). Evaluation and Comparison of Target Registration Error in Active and Passive Optical Tracking Systems. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3476–3480. 3 indexed citations
6.
Brun, Henrik, et al.. (2022). Local integration of deep learning for advanced visualization in congenital heart disease surgical planning. Intelligence-Based Medicine. 6. 100055–100055. 9 indexed citations
7.
Pelanis, Egidijus, et al.. (2022). A Fast Method for Whole Liver- and Colorectal Liver Metastasis Segmentations from MRI Using 3D FCNN Networks. Applied Sciences. 12(10). 5145–5145. 2 indexed citations
8.
Pelanis, Egidijus, et al.. (2022). Evaluation of clinical applicability of automated liver parenchyma segmentation of multi-center magnetic resonance images. European Journal of Radiology Open. 9. 100448–100448. 5 indexed citations
9.
Kumar, Rahul Prasanna, et al.. (2022). Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions. Artificial Intelligence in Medicine. 130. 102331–102331. 37 indexed citations
10.
Lindseth, Frank, et al.. (2021). Numerical Evaluation on Parametric Choices Influencing Segmentation Results in Radiology Images—A Multi-Dataset Study. Electronics. 10(4). 431–431. 5 indexed citations
11.
Elle, Ole Jakob, et al.. (2021). Modifying u-net for small dataset: a simplified u-net version for liver parenchyma segmentation. 57–57. 6 indexed citations
12.
Kumar, Rahul Prasanna, et al.. (2021). Mixed reality as a novel tool for diagnostic and surgical navigation in orthopaedics. International Journal of Computer Assisted Radiology and Surgery. 16(3). 407–414. 33 indexed citations
13.
Pelanis, Egidijus, Rahul Prasanna Kumar, Tobias Rudolph, et al.. (2020). Evaluation of a novel navigation platform for laparoscopic liver surgery with organ deformation compensation using injected fiducials. Medical Image Analysis. 69. 101946–101946. 29 indexed citations
14.
Brun, Henrik, Egidijus Pelanis, Ola Wiig, et al.. (2020). Blandet virkelighet – ny bildeteknologi i klinisk utprøving. Tidsskrift for Den norske legeforening. 140(17). 2 indexed citations
15.
Kumar, Rahul Prasanna, Egidijus Pelanis, Henrik Brun, et al.. (2020). Use of mixed reality for surgery planning: Assessment and development workflow. Journal of Biomedical Informatics. 112. 100077–100077. 51 indexed citations
16.
Pelanis, Egidijus, Rahul Prasanna Kumar, Davit L. Aghayan, et al.. (2019). Use of mixed reality for improved spatial understanding of liver anatomy. Minimally Invasive Therapy & Allied Technologies. 29(3). 154–160. 48 indexed citations
17.
Pelanis, Egidijus, Davit L. Aghayan, Rahul Prasanna Kumar, et al.. (2019). The effect of intraoperative imaging on surgical navigation for laparoscopic liver resection surgery. Scientific Reports. 9(1). 18687–18687. 37 indexed citations
18.
Kumar, Rahul Prasanna, et al.. (2016). Appendagitis following Diagnostic Laparoscopy and Laparoscopic Appendicectomy. SHILAP Revista de lepidopterología. 2016. 1–2.
19.
Kumar, Rahul Prasanna, Fritz Albregtsen, Martin Reimers, et al.. (2014). Three-Dimensional Blood Vessel Segmentation and Centerline Extraction based on Two-Dimensional Cross-Section Analysis. Annals of Biomedical Engineering. 43(5). 1223–1234. 13 indexed citations
20.
Kumar, Rahul Prasanna, Ashish Shrestha, & Sanjoy Basu. (2014). Giant midline abdominal incisional herniae repair through combined retro-rectus mesh placement and components separation: experience from a single centre. Hernia. 18(5). 631–636. 5 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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