Ujjwal Verma

682 total citations
39 papers, 462 citations indexed

About

Ujjwal Verma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Ujjwal Verma has authored 39 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Global and Planetary Change. Recurrent topics in Ujjwal Verma's work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (10 papers) and Flood Risk Assessment and Management (8 papers). Ujjwal Verma is often cited by papers focused on Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (10 papers) and Flood Risk Assessment and Management (8 papers). Ujjwal Verma collaborates with scholars based in India, United States and Germany. Ujjwal Verma's co-authors include Radhika M. Pai, M. M. Manohara Pai, Peralam Yegneswaran Prakash, V.K. Prabhu, Naresh Kumar Mani, Anusha Prabhu, M. S. Giri Nandagopal, Florence Rossant, Isabelle Bloch and Gülşen Taşkın and has published in prestigious journals such as Scientific Reports, IEEE Access and RSC Advances.

In The Last Decade

Ujjwal Verma

31 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ujjwal Verma India 13 165 93 89 82 70 39 462
Yaochi Zhao China 14 145 0.9× 63 0.7× 279 3.1× 129 1.6× 42 0.6× 35 656
Vinay Kumar India 13 59 0.4× 89 1.0× 96 1.1× 73 0.9× 180 2.6× 65 614
P. Mallikarjuna India 14 186 1.1× 91 1.0× 172 1.9× 205 2.5× 135 1.9× 30 649
Yuxia Li China 11 94 0.6× 78 0.8× 22 0.2× 150 1.8× 48 0.7× 76 459
Anesmar Olino de Albuquerque Brazil 11 69 0.4× 102 1.1× 21 0.2× 134 1.6× 101 1.4× 18 470
Xiaohui He China 14 48 0.3× 110 1.2× 35 0.4× 121 1.5× 129 1.8× 40 507
Dmitrii Shadrin Russia 15 109 0.7× 285 3.1× 69 0.8× 155 1.9× 99 1.4× 48 694
Yao Xu China 10 88 0.5× 22 0.2× 85 1.0× 59 0.7× 49 0.7× 16 508
Jintao Liu China 10 166 1.0× 83 0.9× 259 2.9× 23 0.3× 54 0.8× 31 680

Countries citing papers authored by Ujjwal Verma

Since Specialization
Citations

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

Fields of papers citing papers by Ujjwal Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ujjwal Verma

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

All Works

20 of 20 papers shown
1.
Verma, Ujjwal, et al.. (2025). Contextual information based anomaly detection for multi-scene aerial videos. Scientific Reports. 15(1). 25805–25805.
2.
Pai, M. M. Manohara, et al.. (2025). Vehicle Re-Identification and Tracking: Algorithmic Approach, Challenges and Future Directions. IEEE Open Journal of Intelligent Transportation Systems. 6. 155–183. 4 indexed citations
3.
Verma, Ujjwal, Dalton Lunga, Ronny Hänsch, Claudio Persello, & Silvia Liberata Ullo. (2024). Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geoscience and Remote Sensing Letters. 21. 1–4. 1 indexed citations
4.
Pai, M. M. Manohara, et al.. (2023). Pattern detection and prediction using deep learning for intelligent decision support to identify fish behaviour in aquaculture. Ecological Informatics. 78. 102287–102287. 23 indexed citations
5.
Lunga, Dalton, Ronny Hänsch, Ujjwal Verma, et al.. (2023). ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go?. elib (German Aerospace Center). 1122–1125.
6.
Vivone, Gemine, Dalton Lunga, Francescopaolo Sica, et al.. (2023). Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 11(2). 95–100.
7.
Verma, Ujjwal, et al.. (2023). Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions. Neurocomputing. 538. 126201–126201. 18 indexed citations
8.
Lunga, Dalton, Silvia Liberata Ullo, Ujjwal Verma, et al.. (2023). Analysis-Ready Data and FAIR-AI—Standardization of Research Collaboration and Transparency Across Earth-Observation Communities [Technical Committees]. IEEE Geoscience and Remote Sensing Magazine. 11(2). 89–92. 2 indexed citations
9.
Pai, M. M. Manohara, et al.. (2023). Enhanced Vehicle Re-Identification for Smart City Applications Using Zone Specific Surveillance. IEEE Access. 11. 29234–29249. 8 indexed citations
10.
11.
12.
Verma, Ujjwal, et al.. (2022). Texture Aware Unsupervised Segmentation for Assessment of Flood Severity in UAV Aerial Images. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 7815–7818. 2 indexed citations
13.
Pai, M. M. Manohara, et al.. (2021). Vehicle Re-identification in Smart City Transportation using Hybrid Surveillance Systems. 182. 335–340. 2 indexed citations
14.
Verma, Ujjwal, et al.. (2021). UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 4115–4127. 49 indexed citations
15.
Sharma, Ananya & Ujjwal Verma. (2021). Flood Magnitude Assessment from UAV Aerial Videos Based on Image Segmentation and Similarity. 476–481. 3 indexed citations
16.
Pai, M. M. Manohara, et al.. (2021). Anomaly Detection Using Classification CNN Models: A Video Analytic Approach. 923–928. 1 indexed citations
17.
Pai, M. M. Manohara, et al.. (2020). Improved Semantic Segmentation of Water Bodies and Land in SAR Images Using Generative Adversarial Networks. International Journal of Semantic Computing. 14(1). 55–69. 30 indexed citations
18.
Pai, M. M. Manohara, et al.. (2020). Efficient Vehicle Counting by Eliminating Identical Vehicles in UAV aerial videos. 21. 246–251. 12 indexed citations
19.
Pai, M. M. Manohara, et al.. (2019). Semantic Segmentation of UAV Aerial Videos using Convolutional Neural Networks. 21–27. 27 indexed citations
20.
Verma, Ujjwal, Florence Rossant, & Isabelle Bloch. (2015). Segmentation and size estimation of tomatoes from sequences of paired images. EURASIP Journal on Image and Video Processing. 2015(1). 12 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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