Aadarsh Jha

459 total citations
7 papers, 195 citations indexed

About

Aadarsh Jha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Aadarsh Jha has authored 7 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Oncology. Recurrent topics in Aadarsh Jha's work include AI in cancer detection (6 papers), Medical Image Segmentation Techniques (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Aadarsh Jha is often cited by papers focused on AI in cancer detection (6 papers), Medical Image Segmentation Techniques (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Aadarsh Jha collaborates with scholars based in United States and China. Aadarsh Jha's co-authors include Yuankai Huo, Matthew J. Tyska, Mengyang Zhao, Anita Mahadevan‐Jansen, Bryan A. Millis, Le Lü, Bennett A. Landman, Ruining Deng, Haichun Yang and Agnes B. Fogo and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Computers in Biology and Medicine.

In The Last Decade

Aadarsh Jha

7 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aadarsh Jha United States	5	92	70	25	18	18	7	195
Francisco J. Moreno-Barea Spain	3	75 0.8×	103 1.5×	33 1.3×	16 0.9×	12 0.7×	4	278
G. Sajiv India	8	75 0.8×	53 0.8×	25 1.0×	26 1.4×	13 0.7×	55	263
Weijia Wu China	9	137 1.5×	81 1.2×	19 0.8×	40 2.2×	7 0.4×	44	266
P. S. Eliahim Jeevaraj India	4	70 0.8×	37 0.5×	20 0.8×	30 1.7×	8 0.4×	7	213
Yuelong Xia China	8	136 1.5×	126 1.8×	28 1.1×	55 3.1×	10 0.6×	19	302
Payel Roy India	3	90 1.0×	41 0.6×	18 0.7×	29 1.6×	14 0.8×	4	181
Chung Văn Lê Vietnam	8	106 1.2×	56 0.8×	37 1.5×	29 1.6×	6 0.3×	20	238
Bilal Zahran Jordan	8	136 1.5×	83 1.2×	11 0.4×	21 1.2×	11 0.6×	19	269
Asma Naseer Pakistan	12	123 1.3×	163 2.3×	61 2.4×	27 1.5×	8 0.4×	26	376
Mohammed Hassanin Australia	7	113 1.2×	93 1.3×	12 0.5×	18 1.0×	13 0.7×	14	270

Countries citing papers authored by Aadarsh Jha

Since Specialization

Citations

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

Fields of papers citing papers by Aadarsh Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aadarsh Jha

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

All Works

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7 of 7 papers shown

1.

Yao, Tianyuan, Jun Long, Aadarsh Jha, et al.. (2022). Glo-In-One: holistic glomerular detection, segmentation, and lesion characterization with large-scale web image mining. Journal of Medical Imaging. 9(5). 52408–52408. 8 indexed citations

2.

Jha, Aadarsh, et al.. (2022). Contrastive learning meets transfer learning: a case study in medical image analysis. 123–123. 4 indexed citations

3.

Zhao, Mengyang, Aadarsh Jha, Bryan A. Millis, et al.. (2021). Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Analysis. 71. 102048–102048. 145 indexed citations

4.

Gaeta, Isabella, Mengyang Zhao, Ruining Deng, et al.. (2021). ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Computers in Biology and Medicine. 134. 104501–104501. 11 indexed citations

5.

Deng, Ruining, Haichun Yang, Aadarsh Jha, et al.. (2021). Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. IEEE Transactions on Medical Imaging. 40(7). 1924–1933. 11 indexed citations

6.

Jha, Aadarsh, Haichun Yang, Ruining Deng, et al.. (2021). Instance segmentation for whole slide imaging: end-to-end or detect-then-segment. Journal of Medical Imaging. 8(1). 14001–14001. 12 indexed citations

7.

Yang, Haichun, Jiaxin He, Aadarsh Jha, et al.. (2021). Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation. 659–662. 4 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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