Abin Jose

574 total citations · 1 hit paper
22 papers, 278 citations indexed

About

Abin Jose is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abin Jose has authored 22 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abin Jose's work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and AI in cancer detection (5 papers). Abin Jose is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and AI in cancer detection (5 papers). Abin Jose collaborates with scholars based in Germany, India and Australia. Abin Jose's co-authors include Rijo Roy, Ehsan Khodapanah Aghdam, Amirali Molaei, Dorit Merhof, Reza Azad, Amirhossein Kazerouni, Moein Heidari, Chandra Sekhar Seelamantula, Johannes Stegmaier and M Wien and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Medical Image Analysis.

In The Last Decade

Abin Jose

19 papers receiving 269 citations

Hit Papers

Advances in medical image analysis with vision Transforme... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advances in medical image analysis with vision Transformers: A comprehensive review
    2023 188 citations Reza Azad, Amirhossein Kazerouni et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abin Jose Germany 7 113 93 83 44 35 22 278
Rijo Roy Germany 5 78 0.7× 94 1.0× 77 0.9× 44 1.0× 37 1.1× 6 225
Weili Shi China 9 132 1.2× 101 1.1× 66 0.8× 32 0.7× 55 1.6× 64 297
Amirali Molaei Iran 3 90 0.8× 99 1.1× 72 0.9× 46 1.0× 44 1.3× 5 238
Lisa Di Jorio Canada 5 133 1.2× 163 1.8× 102 1.2× 43 1.0× 75 2.1× 9 319
Hongchun Lu China 8 169 1.5× 98 1.1× 123 1.5× 52 1.2× 38 1.1× 13 307
Fatemeh Haghighi United States 6 89 0.8× 140 1.5× 134 1.6× 25 0.6× 28 0.8× 8 253
Zhaoshuo Diao China 7 97 0.9× 135 1.5× 95 1.1× 62 1.4× 29 0.8× 15 279
Omid Nejati Manzari Iran 6 130 1.2× 96 1.0× 114 1.4× 50 1.1× 27 0.8× 9 241
Chaoyu Chen China 8 146 1.3× 98 1.1× 118 1.4× 27 0.6× 37 1.1× 18 336
Xinrui Zhou China 4 108 1.0× 77 0.8× 73 0.9× 27 0.6× 30 0.9× 6 235

Countries citing papers authored by Abin Jose

Since Specialization
Citations

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

Fields of papers citing papers by Abin Jose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abin Jose

This figure shows the co-authorship network connecting the top 25 collaborators of Abin Jose. A scholar is included among the top collaborators of Abin Jose 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 Abin Jose. Abin Jose 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.
Jose, Abin, Rijo Roy, Daniel Moreno-Andrés, & Johannes Stegmaier. (2024). Automatic detection of cell-cycle stages using recurrent neural networks. PLoS ONE. 19(3). e0297356–e0297356. 2 indexed citations
2.
Eschweiler, Dennis, et al.. (2024). Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets. PLoS Computational Biology. 20(2). e1011890–e1011890. 15 indexed citations
3.
Stegmaier, Johannes, et al.. (2024). Deep Learning Approach for Renal Cell Carcinoma Detection, Subtyping, And Grading. 3861–3867. 2 indexed citations
4.
Jose, Abin. (2024). Phishing URL Detection Using XGBoost. International Journal for Research in Applied Science and Engineering Technology. 12(5). 1255–1260.
5.
Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in medical image analysis with vision Transformers: A comprehensive review. Medical Image Analysis. 91. 103000–103000. 188 indexed citations breakdown →
6.
Jose, Abin, Rijo Roy, Dennis Eschweiler, et al.. (2023). End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. 1–5. 4 indexed citations
7.
Azad, Reza, Amirhossein Kazerouni, Moein Heidari, et al.. (2023). Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review. arXiv (Cornell University). 8 indexed citations
8.
Jose, Abin, et al.. (2023). Enhancing Lidar-Based Object Detection in Adverse Weather Using Offset Sequences in Time. Zenodo (CERN European Organization for Nuclear Research). 1–6. 1 indexed citations
9.
Jose, Abin, et al.. (2022). The Influence of Green Marketing on Brand Equity – Analyzing the 4 P’s. SSRN Electronic Journal. 1 indexed citations
10.
Jose, Abin, et al.. (2022). Deep Hashing with Hash Center Update for Efficient Image Retrieval. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4773–4777. 6 indexed citations
11.
Jose, Abin, et al.. (2022). Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks. 2022 IEEE International Conference on Image Processing (ICIP). 3641–3645.
12.
13.
Jose, Abin, et al.. (2020). The Attitude of Generation Z towards the Sharing Economy : A comparative study on Indian and Swedish generation Z. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
14.
Jose, Abin, et al.. (2020). Experimental Examinations on Purification of Water by Rice Husk and Its Ash. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 3771–3777. 2 indexed citations
15.
Jose, Abin, et al.. (2018). Pyramid Pooling of Convolutional Feature Maps for Image Retrieval. 480–484. 10 indexed citations
16.
Jose, Abin, et al.. (2017). Bag of Fisher Vectors representation of images by saliency-based spatial partitioning. 11. 1762–1766. 3 indexed citations
17.
Jose, Abin, et al.. (2017). Binary hashing using siamese neural networks. 2916–2920. 6 indexed citations
18.
Deserno, Thomas M., et al.. (2014). Towards quantitative assessment of calciphylaxis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90353C–90353C. 7 indexed citations
19.
Jose, Abin & Chandra Sekhar Seelamantula. (2013). Bilateral edge detectors. 1449–1453. 6 indexed citations
20.
Jose, Abin, et al.. (2013). Ridge detection using Savitzky-Golay filtering and steerable second-order Gaussian derivatives. 3059–3063. 3 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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