Deepthi Karkada

486 total citations
5 papers, 7 citations indexed

About

Deepthi Karkada is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Deepthi Karkada has authored 5 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Neurology. Recurrent topics in Deepthi Karkada's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Deepthi Karkada is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). Deepthi Karkada collaborates with scholars based in United States, Germany and United Kingdom. Deepthi Karkada's co-authors include Prashant Shah, Spyridon Bakas, Sarthak Pati, Vikram A. Saletore, Siddhesh Thakur, Chiharu Sako, MacLean P. Nasrallah, Alexander Kozlov and Suyash Mohan and has published in prestigious journals such as Neuro-Oncology, Computers in Biology and Medicine and Lecture notes in computer science.

In The Last Decade

Deepthi Karkada

3 papers receiving 7 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepthi Karkada United States	2	5	3	3	2	1	5	7
A Salamah Spain	2	5 1.0×		5 1.7×	2 1.0×		2	9
A. N. Zhu China	3	3 0.6×	1 0.3×	3 1.0×			11	22
M. Biros Czechia	2	7 1.4×		5 1.7×			3	11
Carla Pitarch Spain	2	10 2.0×	3 1.0×	5 1.7×	5 2.5×		4	14
Siddhant Shingi United States	1	3 0.6×		5 1.7×			2	5
M. M. China	2	2 0.4×		2 0.7×	2 1.0×		3	4
Nicole Tay United Kingdom	2	6 1.2×		1 0.3×	2 1.0×		4	8
E. Schmitz United States	2	3 0.6×	3 1.0×	1 0.3×	3 1.5×		3	8
Elizabeth Bergsten-Nordström Sweden	1	2 0.4×		3 1.0×			2	7
Gunjan Deshpande India	3	4 0.8×			2 1.0×		6	13

Countries citing papers authored by Deepthi Karkada

Since Specialization

Citations

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

Fields of papers citing papers by Deepthi Karkada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepthi Karkada

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

All Works

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5 of 5 papers shown

1.

Thakur, Siddhesh, Sarthak Pati, Deepthi Karkada, et al.. (2025). Optimization of deep learning models for inference in low resource environments. Computers in Biology and Medicine. 196(Pt B). 110615–110615.

2.

Thakur, Siddhesh, Sarthak Pati, Deepthi Karkada, et al.. (2022). Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments. Lecture notes in computer science. 12962. 151–167. 5 indexed citations

3.

Thakur, Siddhesh, Sarthak Pati, Deepthi Karkada, et al.. (2022). NIMG-25. OPTIMIZATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS FOR LOW-RESOURCE/CLINICAL ENVIRONMENTS: FOCUS ON CLINICALLY-RELEVANT GLIOMA REGION DELINEATION. Neuro-Oncology. 24(Supplement_7). vii167–vii167. 1 indexed citations

4.

Karkada, Deepthi, et al.. (2020). RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions.. Language Resources and Evaluation. 600–609.

5.

Karkada, Deepthi & Vikram A. Saletore. (2018). Training Speech Recognition Models on HPC Infrastructure. 12. 124–132. 1 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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