Kishore Jaganathan

3.6k total citations · 1 hit paper
13 papers, 1.5k citations indexed

About

Kishore Jaganathan is a scholar working on Radiation, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Kishore Jaganathan has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiation, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Kishore Jaganathan's work include Advanced X-ray Imaging Techniques (10 papers), Optical measurement and interference techniques (6 papers) and Advancements in Photolithography Techniques (3 papers). Kishore Jaganathan is often cited by papers focused on Advanced X-ray Imaging Techniques (10 papers), Optical measurement and interference techniques (6 papers) and Advancements in Photolithography Techniques (3 papers). Kishore Jaganathan collaborates with scholars based in United States and Israel. Kishore Jaganathan's co-authors include Babak Hassibi, Sofia Kyriazopoulou Panagiotopoulou, Eric D. Chow, Siavash Fazel Darbandi, Jack A. Kosmicki, Amirali Kia, Wenwu Cui, Grace Schwartz, Jeremy F. McRae and Stephan Sanders and has published in prestigious journals such as Cell, IEEE Transactions on Signal Processing and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Kishore Jaganathan

13 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Predicting Splicing from Primary Sequence with Deep Learning

2019 1.3k citations Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou et al. Cell profile →

Peers

Countries citing papers authored by Kishore Jaganathan

Since Specialization

Citations

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

Fields of papers citing papers by Kishore Jaganathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kishore Jaganathan

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

#	Work	Indexed citations
1	Predicting Splicing from Primary Sequence with Deep Learning breakdown → 2019 ·Cell ·Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou, Jeremy F. McRae, Siavash Fazel Darbandi, David A. Knowles, Yang Li, Jack A. Kosmicki, Juan David Arbelaez, Wenwu Cui, Grace Schwartz, Eric D. Chow, (unknown), Hong Gao, Amirali Kia, Serafim Batzoglou, Stephan Sanders, Kyle Kai‐How Farh	1250
2	Reconstruction of Signals From Their Autocorrelation and Cross-Correlation Vectors, With Applications to Phase Retrieval and Blind Channel Estimation 2019 ·IEEE Transactions on Signal Processing ·Kishore Jaganathan, Babak Hassibi	8
3	Multiple illumination phaseless super-resolution (MIPS) with applications to phaseless DoA estimation and diffraction imaging 2017 ·(unknown), Kishore Jaganathan, Babak Hassibi	1
4	Sparse Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms 2017 ·IEEE Transactions on Signal Processing ·Kishore Jaganathan, Samet Oymak, Babak Hassibi	43
5	Phaseless super-resolution using masks 2016 ·Kishore Jaganathan, James Saunderson, Maryam Fazel, Yonina C. Eldar, Babak Hassibi	4
6	STFT Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms 2016 ·IEEE Journal of Selected Topics in Signal Processing ·Kishore Jaganathan, Yonina C. Eldar, Babak Hassibi	56
7	Recovering signals from the Short-Time Fourier Transform magnitude 2015 ·Kishore Jaganathan, Yonina C. Eldar, Babak Hassibi	9
8	Phase retrieval with masks using convex optimization 2015 ·Kishore Jaganathan, Yonina C. Eldar, Babak Hassibi	20
9	Reconstruction of integers from pairwise distances 2013 ·Kishore Jaganathan, Babak Hassibi	9
10	Sparse phase retrieval: Convex algorithms and limitations 2013 ·Kishore Jaganathan, Samet Oymak, Babak Hassibi	51
11	Recovery of sparse 1-D signals from the magnitudes of their Fourier transform 2012 ·Kishore Jaganathan, Samet Oymak, Babak Hassibi	59
12	On robust phase retrieval for sparse signals 2012 ·Zenodo (CERN European Organization for Nuclear Research) ·Kishore Jaganathan, Samet Oymak, Babak Hassibi	12
13	Phase retrieval for sparse signals using rank minimization 2012 ·Kishore Jaganathan, Samet Oymak, Babak Hassibi	14

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.

Explore authors with similar magnitude of impact