Jyoti Kini

1.2k total citations
69 papers, 828 citations indexed

About

Jyoti Kini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jyoti Kini has authored 69 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jyoti Kini's work include AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Digital Imaging for Blood Diseases (6 papers). Jyoti Kini is often cited by papers focused on AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Digital Imaging for Blood Diseases (6 papers). Jyoti Kini collaborates with scholars based in India, United States and Australia. Jyoti Kini's co-authors include Shyam Lal, Santanu Roy, Aman Kumar, Alok Jain, Jeny Rajan, Hema Kini, PU Prakash Saxena, Jin Tae Kwak, Ranjeet Kumar and Jeffrey A. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Jyoti Kini

59 papers receiving 806 citations

Peers

Jyoti Kini

RNMI

CVPR

EPIDE

BIOPH

Huangjing Lin Hong Kong

Norman Zerbe Germany

Jinzheng Cai United States

Navid Farahani United States

Iringo Kovacs Netherlands

N. K. Timofeeva Netherlands

Nikolas Stathonikos Netherlands

Péter Bándi Netherlands

Maschenka Balkenhol Netherlands

Yading Yuan United States

Huangjing Lin Hong Kong

Jyoti Kini

560 ×1.1

468 ×1.4

RNMI

280 ×1.0

CVPR

55 ×0.6

EPIDE

47 ×0.6

BIOPH

Citations per year, relative to Jyoti Kini Jyoti Kini (= 1×) peers Huangjing Lin

Countries citing papers authored by Jyoti Kini

Since Specialization

Citations

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

Fields of papers citing papers by Jyoti Kini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Kini

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

All Works

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20 of 20 papers shown

Srivastava, Vishal, et al.. (2025). An Efficient Parallel Branch Network for Multi‐Class Classification of Prostate Cancer From Histopathological Images. International Journal of Imaging Systems and Technology. 35(3).

Kini, Hema, et al.. (2025). Interobserver Variability in Ki-67 Index Assessment of Gastroenteropancreatic Neuroendocrine Neoplasms: A Comparative Evaluation of Three Counting Methods. Iranian journal of pathology. 20(4). 404–410.

Umakanthan, Srikanth, et al.. (2024). Post-Acute Sequelae of Covid-19: A System-wise Approach on the Effects of Long-Covid-19. SHILAP Revista de lepidopterología. 12. 100071–100071. 2 indexed citations

Kini, Jyoti, et al.. (2023). A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma. Engineering Applications of Artificial Intelligence. 120. 105949–105949. 4 indexed citations

Lashkari, Harsha Prasada, et al.. (2023). A needle in the haystack: An unusual case presentation of ganglioneuroblastoma at a tertiary care center in Coastal Karnataka. SHILAP Revista de lepidopterología. 11(11). e8149–e8149. 2 indexed citations

Kini, Jyoti, et al.. (2023). Primary Ovarian Non-Hodgkin’s Lymphoma: An 18-year Retrospective Institutional Study and Review of Literature from India. Cureus. 15(6). e40685–e40685. 1 indexed citations

Lal, Shyam, et al.. (2023). A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images. Scientific Reports. 13(1). 5728–5728. 39 indexed citations

Kini, Jyoti, et al.. (2022). p63-positive prostate carcinoma—A very rare presentation. Indian Journal of Pathology and Microbiology. 65(2). 448–448.

Lal, Shyam, et al.. (2022). Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images. Multimedia Tools and Applications. 81(7). 9201–9224. 23 indexed citations

10.

Kumar, Aman, et al.. (2021). Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images. Computers & Electrical Engineering. 92. 107177–107177. 29 indexed citations

11.

Lashkari, Harsha Prasada, et al.. (2021). Masquerade uveitis with hypopyon as a solitary feature of relapsed leukaemia in a child. BMJ Case Reports. 14(5). e240485–e240485. 1 indexed citations

12.

Kini, Jyoti, et al.. (2021). Study of pre-operative neutrophil–lymphocyte ratio in urothelial carcinoma. Journal of Basic and Clinical Physiology and Pharmacology. 34(4). 459–464. 1 indexed citations

13.

Acharya, Vishak, et al.. (2021). In pursuit of the primary. Breathe. 17(4). 210142–210142.

14.

Lal, Shyam, et al.. (2021). High-resolution deep transferred ASPPU-Net for nuclei segmentation of histopathology images. International Journal of Computer Assisted Radiology and Surgery. 16(12). 2159–2175. 18 indexed citations

15.

Kumar, Aman, et al.. (2021). Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images. Computerized Medical Imaging and Graphics. 93. 101975–101975. 30 indexed citations

16.

Kini, Jyoti, et al.. (2019). Acceptability of human papillomavirus vaccination among medical students in Mangalore, India. Vaccine. 37(9). 1174–1181. 23 indexed citations

17.

Kini, Jyoti, et al.. (2018). Evaluation of p53 protein expression in Barrett esophagus. Indian Journal of Pathology and Microbiology. 61(2). 170–170. 1 indexed citations

18.

Kini, Jyoti, et al.. (2016). Erythrocyte Sedimentation Rate Revisited: Evaluation Of The Clinical Relevance Of Elevated Erythrocyte Sedimentation Rate And Its Correlation With The Final Diagnosis.. Research Journal of Pharmaceutical Biological and Chemical Sciences. 7(2). 443–448. 1 indexed citations

19.

Kini, Jyoti, et al.. (2016). A Study of Cytological Findings in Cervical (PAP) Smears in Correlation With Cervical Biopsies.. Research Journal of Pharmaceutical Biological and Chemical Sciences. 7(1). 384–389. 1 indexed citations

20.

Kini, Jyoti, et al.. (2014). Subcutaneous Panniculitis- like T-Cell Lymphoma: Report of two cases. SHILAP Revista de lepidopterología. 5(3). 267–270.

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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