Srishti Verma

830 total citations · 1 hit paper
5 papers, 491 citations indexed

About

Srishti Verma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Srishti Verma has authored 5 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Srishti Verma's work include Anomaly Detection Techniques and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers) and Lanthanide and Transition Metal Complexes (1 paper). Srishti Verma is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Video Surveillance and Tracking Methods (2 papers) and Lanthanide and Transition Metal Complexes (1 paper). Srishti Verma collaborates with scholars based in India and Czechia. Srishti Verma's co-authors include Sanjukta De, Aleena Swetapadma, Pratim Sengupta, Malay Kishore Dutta, Vishal Choudhary, Radim Bürget, Pradip Chakraborty, Rakesh Chandra Joshi, Prashant Jain and Atul Kumar and has published in prestigious journals such as Langmuir, Journal of Computational and Theoretical Nanoscience and 2022 International Conference for Advancement in Technology (ICONAT).

In The Last Decade

Srishti Verma

4 papers receiving 464 citations

Hit Papers

A Brief Review of Nearest Neighbor Algorithm for Learning... 2019 2026 2021 2023 2019 100 200 300 400

Peers

Srishti Verma
Srishti Verma
Citations per year, relative to Srishti Verma Srishti Verma (= 1×) peers Sanjukta De

Countries citing papers authored by Srishti Verma

Since Specialization
Citations

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

Fields of papers citing papers by Srishti Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srishti Verma

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

All Works

5 of 5 papers shown
3.
Verma, Srishti & Prashant Jain. (2022). COVID-19: Automatic Social Distancing Rule Voilation Detection using PP-Yolo & Tensorflow in OpenCV. 2022 International Conference for Advancement in Technology (ICONAT). 13. 1–6.
4.
Verma, Srishti, et al.. (2020). An Algorithmic Approach for Real Time People Counting with Moving Background. Journal of Computational and Theoretical Nanoscience. 17(1). 499–504. 1 indexed citations
5.
De, Sanjukta, et al.. (2019). A Brief Review of Nearest Neighbor Algorithm for Learning and Classification. 1255–1260. 477 indexed citations breakdown →

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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2026