Shrish Verma

1.1k total citations
94 papers, 679 citations indexed

About

Shrish Verma is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Shrish Verma has authored 94 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 27 papers in Information Systems and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Shrish Verma's work include Software Engineering Research (18 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Silicon Carbide Semiconductor Technologies (14 papers). Shrish Verma is often cited by papers focused on Software Engineering Research (18 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers) and Silicon Carbide Semiconductor Technologies (14 papers). Shrish Verma collaborates with scholars based in India and Japan. Shrish Verma's co-authors include Naresh Kumar Nagwani, O. P. Vyas, Pradeep Singh, Narendra D. Londhe, Dilip Singh Sisodia, Alok Naugarhiya, Nikhil R. Pal, Tirath Prasad Sahu, Praveen K. Shukla and Rahul Kumar Chaurasiya and has published in prestigious journals such as IEEE Access, IEEE Transactions on Electron Devices and IEEE Electron Device Letters.

In The Last Decade

Shrish Verma

87 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shrish Verma India 14 280 227 138 119 103 94 679
Hucheng Zhou China 17 241 0.9× 147 0.6× 38 0.3× 89 0.7× 125 1.2× 43 750
Alan D. Kaplan United States 15 144 0.5× 112 0.5× 38 0.3× 53 0.4× 69 0.7× 60 899
Martin Loomes United Kingdom 13 104 0.4× 244 1.1× 40 0.3× 54 0.5× 30 0.3× 56 582
Abhijit S. Pandya United States 8 73 0.3× 103 0.5× 51 0.4× 33 0.3× 21 0.2× 62 322
Zafar Ali China 20 306 1.1× 584 2.6× 35 0.3× 69 0.6× 13 0.1× 43 970
Vandana Bhattacharjee India 10 84 0.3× 84 0.4× 60 0.4× 18 0.2× 43 0.4× 37 349
Weichang Du Canada 15 212 0.8× 207 0.9× 46 0.3× 19 0.2× 18 0.2× 64 522
Zhaofeng Chen China 11 129 0.5× 419 1.8× 26 0.2× 27 0.2× 57 0.6× 39 628
Mohamed Kholief Egypt 7 61 0.2× 78 0.3× 31 0.2× 22 0.2× 18 0.2× 34 333
Yihong Dong China 12 102 0.4× 225 1.0× 20 0.1× 33 0.3× 11 0.1× 52 500

Countries citing papers authored by Shrish Verma

Since Specialization
Citations

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

Fields of papers citing papers by Shrish Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shrish Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Shrish Verma. A scholar is included among the top collaborators of Shrish 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 Shrish Verma. Shrish 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.
2.
Naugarhiya, Alok, et al.. (2022). 1.2 kV Stepped Oxide Trench Insulated Gate Bipolar Transistor with Low Loss for Fast Switching Application. ECS Journal of Solid State Science and Technology. 11(11). 111008–111008. 2 indexed citations
3.
Naugarhiya, Alok, et al.. (2022). Collector Engineered Bidirectional Insulated Gate Bipolar Transistor With Low Loss. IEEE Transactions on Electron Devices. 69(3). 1604–1607. 4 indexed citations
4.
Banchhor, Sumit K., Priyanka Agrawal, Shrish Verma, Narendra D. Londhe, & Satya Prakash Sahu. (2022). False positives reduction in pulmonary nodule detection using a connected component analysis based approach. International Journal of Biomedical Engineering and Technology. 39(2). 131–131.
5.
Naugarhiya, Alok, et al.. (2021). A low-loss variable-doped trench-insulated gate bipolar transistor with reduced on-state voltage. Semiconductor Science and Technology. 36(7). 75002–75002. 2 indexed citations
6.
Verma, Shrish, et al.. (2021). Computer aided diagnosis system for cervical lymph nodes in CT images using deep learning. Biomedical Signal Processing and Control. 71. 103158–103158. 16 indexed citations
7.
Naugarhiya, Alok, et al.. (2020). Lateral Variation-Doped Insulated Gate Bipolar Transistor for Low On-State Voltage With Low Loss. IEEE Electron Device Letters. 41(6). 888–891. 6 indexed citations
8.
Naugarhiya, Alok, et al.. (2020). Trench IGBT with stepped doped collector for low energy loss. Semiconductor Science and Technology. 35(2). 25015–25015. 7 indexed citations
9.
Verma, Shrish, et al.. (2020). Performance improvement of mediastinal lymph node severity detection using GAN and Inception network. Computer Methods and Programs in Biomedicine. 194. 105478–105478. 23 indexed citations
10.
11.
Sahu, Satya Prakash, Narendra D. Londhe, & Shrish Verma. (2019). Pulmonary Nodule Detection in CT Images Using Optimal Multilevel Thresholds and Rule-based Filtering. IETE Journal of Research. 68(1). 265–282. 13 indexed citations
12.
Naugarhiya, Alok, et al.. (2019). Workfunction engineered stepped gate SJ UMOS with reduced specific resistance for high speed applications. Semiconductor Science and Technology. 34(9). 95016–95016. 6 indexed citations
13.
Singh, Pradeep & Shrish Verma. (2018). Multi-classifier model for software fault prediction.. The International Arab Journal of Information Technology. 15. 912–919. 5 indexed citations
14.
Sisodia, Dilip Singh, Shrish Verma, & O. P. Vyas. (2016). A Discounted Fuzzy Relational Clustering of Web Users’ Using Intuitive Augmented Sessions Dissimilarity Metric. IEEE Access. 4. 6883–6893. 7 indexed citations
15.
Sisodia, Dilip Singh, Shrish Verma, & O. P. Vyas. (2016). Quantitative Evaluation of Web user Session Dissimilarity measures using Medoids based Relational Fuzzy clustering. Indian Journal of Science and Technology. 9(28). 5 indexed citations
16.
Sisodia, Dilip Singh, Shrish Verma, & O. P. Vyas. (2015). A Comparative Analysis of Browsing Behavior of Human Visitors and Automatic Software Agents. 3(2). 31–35. 9 indexed citations
17.
Nagwani, Naresh Kumar, et al.. (2015). Performance Evaluation of Different Classifier for Eye State Prediction Using EEG Signal. 1(2). 141–145. 11 indexed citations
18.
Nagwani, Naresh Kumar & Shrish Verma. (2013). On Studying the Effect of Sample Size in Evaluation of Bug Classifiers. Indian Journal of Science and Technology. 6(1). 3849–3855. 1 indexed citations
19.
Nagwani, Naresh Kumar & Shrish Verma. (2012). Rank-Me: A Java Tool for Ranking Team Members in Software Bug Repositories. Journal of Software Engineering and Applications. 5(4). 255–261. 12 indexed citations
20.
Nagwani, Naresh Kumar & Shrish Verma. (2009). An Open Source Framework for Data Pre-processing of Online Software Bug Repositories. 1(7). 329–338. 2 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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