Utkarsh Sinha

1.1k total citations · 1 hit paper
13 papers, 368 citations indexed

About

Utkarsh Sinha is a scholar working on Ocean Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Utkarsh Sinha has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ocean Engineering, 4 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Utkarsh Sinha's work include Hydraulic Fracturing and Reservoir Analysis (4 papers), COVID-19 diagnosis using AI (4 papers) and Reservoir Engineering and Simulation Methods (4 papers). Utkarsh Sinha is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (4 papers), COVID-19 diagnosis using AI (4 papers) and Reservoir Engineering and Simulation Methods (4 papers). Utkarsh Sinha collaborates with scholars based in India, Belgium and United Arab Emirates. Utkarsh Sinha's co-authors include Soumya Ranjan Nayak, Vaibhav Arora, Deepak Ranjan Nayak, Ram Bilas Pachori, Janmenjoy Nayak, Suresh Chandra Satapathy, Ramesh Chandra Poonia, Sathish Sankaran, Uttam Ghosh and S. Vimal and has published in prestigious journals such as Biomedical Signal Processing and Control, Arabian Journal for Science and Engineering and Diagnostics.

In The Last Decade

Utkarsh Sinha

10 papers receiving 346 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.

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

2020 277 citations Soumya Ranjan Nayak, Deepak Ranjan Nayak et al. Biomedical Signal Processing and Control profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Utkarsh Sinha India	6	295	196	66	44	41	13	368
Deepak Jain India	8	269 0.9×	158 0.8×	59 0.9×	36 0.8×	44 1.1×	13	369
Tej Bahadur Chandra India	8	297 1.0×	184 0.9×	80 1.2×	36 0.8×	52 1.3×	18	425
Vaibhav Arora India	7	295 1.0×	201 1.0×	101 1.5×	44 1.0×	41 1.0×	10	404
Michael J. Horry Australia	5	316 1.1×	207 1.1×	53 0.8×	62 1.4×	55 1.3×	8	378
Neha Gianchandani Canada	4	427 1.4×	317 1.6×	91 1.4×	79 1.8×	56 1.4×	5	549
Anabel Gómez-Ríos Spain	2	228 0.8×	154 0.8×	33 0.5×	46 1.0×	34 0.8×	2	279
Juan Luis Suárez Spain	6	229 0.8×	211 1.1×	71 1.1×	46 1.0×	34 0.8×	10	359
Bejoy Abraham India	9	295 1.0×	233 1.2×	96 1.5×	33 0.8×	98 2.4×	17	417
Fanjie Kong China	5	167 0.6×	160 0.8×	71 1.1×	35 0.8×	23 0.6×	14	299
Arpan Basu India	8	146 0.5×	175 0.9×	60 0.9×	24 0.5×	21 0.5×	13	283

Countries citing papers authored by Utkarsh Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Utkarsh Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utkarsh Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Utkarsh Sinha. A scholar is included among the top collaborators of Utkarsh Sinha 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 Utkarsh Sinha. Utkarsh Sinha 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

1.

Sinha, Utkarsh, et al.. (2023). Improving Artificial Lift Timing, Selection, and Operations Strategy Using a Physics Informed Data-driven Method. 2 indexed citations

2.

Sinha, Utkarsh, et al.. (2023). Discovery of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-Driven and Physics Models. SPE Western Regional Meeting.

3.

Sinha, Utkarsh, et al.. (2023). Physics Guided Data Driven Model to Forecast Production Rates in Liquid Wells. 5 indexed citations

4.

Sinha, Utkarsh, et al.. (2023). Optimizing Artificial Lift Timing and Selection Using Reduced Physics Models. 1 indexed citations

5.

Sankaran, Sathish, et al.. (2023). Unconventional Well Interference Detection Using Physics Informed Data-driven Model. 2 indexed citations

6.

Nayak, Soumya Ranjan, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, & Ram Bilas Pachori. (2022). An Efficient Deep Learning Method for Detection of COVID-19 Infection Using Chest X-ray Images. Diagnostics. 13(1). 131–131. 28 indexed citations

7.

Sinha, Utkarsh, et al.. (2022). An Improved Method for GOR Forecasting in Unconventionals. 4 indexed citations

8.

Nayak, Soumya Ranjan, Janmenjoy Nayak, S. Vimal, Vaibhav Arora, & Utkarsh Sinha. (2021). An ensemble artificial intelligence‐enabled MIoT for automated diagnosis of malaria parasite. Expert Systems. 39(4). 8 indexed citations

9.

Nayak, Soumya Ranjan, Janmenjoy Nayak, Utkarsh Sinha, et al.. (2021). An Automated Lightweight Deep Neural Network for Diagnosis of COVID-19 from Chest X-ray Images. Arabian Journal for Science and Engineering. 48(8). 11085–11102. 23 indexed citations

10.

Nayak, Soumya Ranjan, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, & Ram Bilas Pachori. (2020). Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study. Biomedical Signal Processing and Control. 64. 102365–102365. 277 indexed citations breakdown →

11.

Sinha, Utkarsh, et al.. (2020). Human Behavior Assessment using Ensemble Models. 140–144. 1 indexed citations

12.

Nayak, Soumya Ranjan, Vaibhav Arora, Utkarsh Sinha, & Ramesh Chandra Poonia. (2020). A statistical analysis of COVID-19 using Gaussian and probabilistic model. Journal of Interdisciplinary Mathematics. 24(1). 19–32. 16 indexed citations

13.

Hua, Quan, et al.. (2015). OpenCV 3 Blueprints: Expand your knowledge of computer vision by building amazing projects with OpenCV 3. 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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