Subrota Kumar Mondal

1.2k total citations · 1 hit paper
34 papers, 664 citations indexed

About

Subrota Kumar Mondal is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Subrota Kumar Mondal has authored 34 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 16 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Subrota Kumar Mondal's work include Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (6 papers) and Distributed systems and fault tolerance (4 papers). Subrota Kumar Mondal is often cited by papers focused on Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (6 papers) and Distributed systems and fault tolerance (4 papers). Subrota Kumar Mondal collaborates with scholars based in Macao, Hong Kong and Australia. Subrota Kumar Mondal's co-authors include Ting Wang, Jyoti Prakash Sahoo, H M Dipu Kabir, Hong‐Ning Dai, Junhao Zhou, Hao Wang, King-Hang Wang, Jogesh K. Muppala, Saeid Nahavandi and Abbas Khosravi and has published in prestigious journals such as Expert Systems with Applications, ACM Computing Surveys and Applied Soft Computing.

In The Last Decade

Subrota Kumar Mondal

31 papers receiving 642 citations

Hit Papers

align trajectories sort by overperformance

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.

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

2023 312 citations Ting Wang, Subrota Kumar Mondal et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subrota Kumar Mondal Macao	10	258	188	124	117	66	34	664
Štefan Dlugolinský Slovakia	6	245 0.9×	111 0.6×	128 1.0×	73 0.6×	39 0.6×	25	650
Keqin Li United States	9	249 1.0×	157 0.8×	166 1.3×	97 0.8×	22 0.3×	21	610
Avinash Chandra Pandey India	15	508 2.0×	145 0.8×	97 0.8×	198 1.7×	41 0.6×	32	794
Sunil Bhirud India	12	157 0.6×	174 0.9×	86 0.7×	99 0.8×	34 0.5×	71	582
Patricia Riddle New Zealand	12	430 1.7×	174 0.9×	99 0.8×	91 0.8×	49 0.7×	57	692
Martin Bobák Slovakia	5	179 0.7×	78 0.4×	86 0.7×	72 0.6×	29 0.4×	21	555
Bin Qian China	7	327 1.3×	80 0.4×	121 1.0×	95 0.8×	39 0.6×	15	725
Donglin Wang China	11	361 1.4×	90 0.5×	51 0.4×	153 1.3×	82 1.2×	43	601
Peter Malík Slovakia	7	195 0.8×	72 0.4×	80 0.6×	92 0.8×	26 0.4×	31	625

Countries citing papers authored by Subrota Kumar Mondal

Since Specialization

Citations

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

Fields of papers citing papers by Subrota Kumar Mondal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrota Kumar Mondal. 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 Subrota Kumar Mondal. The network helps show where Subrota Kumar Mondal may publish in the future.

Co-authorship network of co-authors of Subrota Kumar Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Subrota Kumar Mondal. A scholar is included among the top collaborators of Subrota Kumar Mondal 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 Subrota Kumar Mondal. Subrota Kumar Mondal 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

Mondal, Subrota Kumar, et al.. (2025). On English-Chinese Neural Machine Translation leveraging Transformer model. Charles Sturt University Research Output (CRO). 12. 100166–100166.

Mondal, Subrota Kumar, et al.. (2025). A Two-Stage End-to-End Framework for Robust Scene Text Spotting with Self-Calibrated Detection and Contextual Recognition. Electronics. 14(23). 4594–4594.

Mondal, Subrota Kumar, Zheng Zhen, & Yuning Cheng. (2024). On the Optimization of Kubernetes toward the Enhancement of Cloud Computing. Mathematics. 12(16). 2476–2476. 3 indexed citations

Mondal, Subrota Kumar, et al.. (2024). Toward security quantification of serverless computing. Journal of Cloud Computing Advances Systems and Applications. 13(1). 3 indexed citations

Mondal, Subrota Kumar, et al.. (2024). Enhancement of English-Bengali Machine Translation Leveraging Back-Translation. Applied Sciences. 14(15). 6848–6848.

Kabir, H M Dipu, Subrota Kumar Mondal, Abbas Khosravi, et al.. (2023). Uncertainty aware neural network from similarity and sensitivity. Applied Soft Computing. 149. 111027–111027. 5 indexed citations

Mondal, Subrota Kumar, et al.. (2023). Security Quantification of Container-Technology-Driven E-Government Systems. Electronics. 12(5). 1238–1238. 6 indexed citations

Mondal, Subrota Kumar, et al.. (2023). Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Mathematics. 11(12). 2675–2675. 8 indexed citations

Wang, Ting, et al.. (2023). A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities. ACM Computing Surveys. 55(13s). 1–40. 312 indexed citations breakdown →

10.

Qazani, Mohammad Reza Chalak, Subrota Kumar Mondal, H M Dipu Kabir, et al.. (2022). CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2237–2243. 2 indexed citations

11.

Kabir, H M Dipu, Fahime Khozeimeh, Abbas Khosravi, et al.. (2022). Aleatory-aware deep uncertainty quantification for transfer learning. Computers in Biology and Medicine. 143. 105246–105246. 16 indexed citations

12.

Mondal, Subrota Kumar, et al.. (2022). Reinforcement learning-driven deep question generation with rich semantics. Information Processing & Management. 60(2). 103232–103232. 7 indexed citations

13.

Dai, Hong‐Ning, et al.. (2021). Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels. Expert Systems with Applications. 183. 115378–115378. 70 indexed citations

14.

Chen, Zexi, Ting Wang, Haibin Cai, Subrota Kumar Mondal, & Jyoti Prakash Sahoo. (2021). BLB-gcForest: A High-Performance Distributed Deep Forest with Adaptive sub-Forest Splitting. IEEE Transactions on Parallel and Distributed Systems. 1–1. 10 indexed citations

15.

Mondal, Subrota Kumar, et al.. (2017). On Dependability, Cost and Security Trade-Off in Cloud Data Centers. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4 indexed citations

16.

Mondal, Subrota Kumar, Jogesh K. Muppala, & Fumio Machida. (2016). Virtual Machine Replication on Achieving Energy-Efficiency in a Cloud. Electronics. 5(3). 37–37. 5 indexed citations

17.

Mondal, Subrota Kumar & Jogesh K. Muppala. (2014). Defects per Million (DPM) Evaluation for a Cloud Dealing with VM Failures Using Checkpointing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 672–677. 2 indexed citations

18.

Mondal, Subrota Kumar, Jogesh K. Muppala, Fumio Machida, & Kishor S. Trivedi. (2014). Computing Defects per Million in Cloud Caused by Virtual Machine Failures with Replication. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 161–168. 4 indexed citations

19.

Mondal, Subrota Kumar & Jogesh K. Muppala. (2014). Energy Modeling of Different Virtual Machine Replication Schemes in a Cloud Data Center. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 99. 486–493. 2 indexed citations

20.

Shukla, Deepak, et al.. (2013). Towards Establishing Trust in Public Clouds through Real-time Client Feedback. IEEE International Conference on Cloud Computing Technology and Science. 1(1). 1–9. 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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