Rohit Kundu

1.5k total citations · 1 hit paper
23 papers, 954 citations indexed

About

Rohit Kundu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rohit Kundu has authored 23 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rohit Kundu's work include AI in cancer detection (7 papers), COVID-19 diagnosis using AI (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Rohit Kundu is often cited by papers focused on AI in cancer detection (7 papers), COVID-19 diagnosis using AI (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Rohit Kundu collaborates with scholars based in India, South Korea and United States. Rohit Kundu's co-authors include Ram Sarkar, Hritam Basak, Pawan Kumar Singh, Zong Woo Geem, Gi-Tae Han, Soham Chattopadhyay, Dmitrii Kaplun, Массимилиано Феррара, Ali Ahmadian and Aleksandr Sinitca and has published in prestigious journals such as PLoS ONE, Scientific Reports and Pattern Recognition.

In The Last Decade

Rohit Kundu

19 papers receiving 927 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.

Pneumonia detection in chest X-ray images using an ensemble of deep learning models

2021 199 citations Rohit Kundu, Zong Woo Geem et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rohit Kundu India	16	565	390	246	125	90	23	954
Maha Sharkas Egypt	17	636 1.1×	523 1.3×	318 1.3×	28 0.2×	79 0.9×	40	1.1k
Taye Girma Debelee Ethiopia	17	417 0.7×	268 0.7×	241 1.0×	45 0.4×	38 0.4×	34	963
Marwa Obayya Saudi Arabia	15	283 0.5×	191 0.5×	172 0.7×	41 0.3×	44 0.5×	78	725
M. Rubaiyat Hossain Mondal Bangladesh	18	518 0.9×	304 0.8×	123 0.5×	36 0.3×	49 0.5×	75	1.2k
Tahira Nazir Pakistan	23	453 0.8×	475 1.2×	488 2.0×	96 0.8×	45 0.5×	53	1.5k
‪Mohd Yusoff Mashor Malaysia	20	523 0.9×	206 0.5×	881 3.6×	63 0.5×	65 0.7×	151	1.4k
Marcelo Zanchetta do Nascimento Brazil	17	682 1.2×	338 0.9×	508 2.1×	26 0.2×	42 0.5×	91	997
Zhongyi Han China	14	928 1.6×	644 1.7×	536 2.2×	27 0.2×	51 0.6×	42	1.3k
Muhammad Nazir Pakistan	21	369 0.7×	212 0.5×	452 1.8×	27 0.2×	62 0.7×	53	1.0k
Fatma Taher United Arab Emirates	21	464 0.8×	483 1.2×	297 1.2×	24 0.2×	265 2.9×	110	1.3k

Countries citing papers authored by Rohit Kundu

Since Specialization

Citations

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

Fields of papers citing papers by Rohit Kundu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Kundu

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Kundu. A scholar is included among the top collaborators of Rohit Kundu 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 Rohit Kundu. Rohit Kundu 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:

20 of 20 papers shown

Kundu, Rohit, et al.. (2025). Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content. 28050–28060.

Kundu, Rohit, et al.. (2025). Repurposing SAM for User-Defined Semantics Aware Segmentation. 3621–3631.

Kundu, Rohit, et al.. (2024). Prism refraction search: a novel physics-based metaheuristic algorithm. The Journal of Supercomputing. 80(8). 10746–10795. 25 indexed citations

Kundu, Rohit, Rajender Parsad, & Biswapati Mandal. (2024). Response surface designs with four and six equi-spaced levels. Communication in Statistics- Theory and Methods. 54(14). 4526–4539.

Kundu, Rohit, et al.. (2024). Estimating Missing values in Randomized Complete Block design using EM Algorithm. 20(1). 153–153.

Basak, Hritam, et al.. (2023). Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation. 1–5. 5 indexed citations

Nag, Sayan, et al.. (2023). Serf: Towards better training of deep neural networks using log-Softplus ERror activation Function. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5313–5322. 15 indexed citations

Basak, Hritam, Rohit Kundu, Pawan Kumar Singh, et al.. (2022). A union of deep learning and swarm-based optimization for 3D human action recognition. Scientific Reports. 12(1). 5494–5494. 81 indexed citations

Kundu, Rohit, Soham Chattopadhyay, Erik Cuevas, & Ram Sarkar. (2022). AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets. Computers in Biology and Medicine. 144. 105349–105349. 65 indexed citations

10.

Bhunia, Ayan Kumar, Subhadeep Koley, Rohit Kundu, et al.. (2022). Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2283–2292. 20 indexed citations

11.

Kundu, Rohit & Soham Chattopadhyay. (2022). Deep features selection through genetic algorithm for cervical pre-cancerous cell classification. Multimedia Tools and Applications. 82(9). 13431–13452. 27 indexed citations

12.

Kundu, Rohit, Pawan Kumar Singh, Seyedali Mirjalili, & Ram Sarkar. (2021). COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble. Computers in Biology and Medicine. 138. 104895–104895. 39 indexed citations

13.

Kundu, Rohit, et al.. (2021). A fuzzy rank-based ensemble of CNN models for classification of cervical cytology. Scientific Reports. 11(1). 14538–14538. 118 indexed citations

14.

Kundu, Rohit, Hritam Basak, Pawan Kumar Singh, et al.. (2021). Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans. Scientific Reports. 11(1). 14133–14133. 73 indexed citations

15.

Kundu, Rohit, et al.. (2021). Pneumonia detection in chest X-ray images using an ensemble of deep learning models. PLoS ONE. 16(9). e0256630–e0256630. 199 indexed citations breakdown →

16.

Kundu, Rohit, Pawan Kumar Singh, Массимилиано Феррара, Ali Ahmadian, & Ram Sarkar. (2021). ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images. Multimedia Tools and Applications. 81(1). 31–50. 60 indexed citations

17.

Kundu, Rohit, et al.. (2021). Pneumonia detection from lung X‐ray images using local search aided sine cosine algorithm based deep feature selection method. International Journal of Intelligent Systems. 37(7). 3777–3814. 24 indexed citations

18.

Basak, Hritam, et al.. (2021). Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection. SN Computer Science. 2(5). 65 indexed citations

19.

Kundu, Rohit, et al.. (2021). Segmentation of brain MRI using an altruistic Harris Hawks’ Optimization algorithm. Knowledge-Based Systems. 232. 107468–107468. 37 indexed citations

20.

Basak, Hritam, et al.. (2020). Single Image Super-Resolution using Residual Channel Attention Network. 219–224. 11 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.

Explore authors with similar magnitude of impact