Pradeep Tomar

1.3k total citations
68 papers, 525 citations indexed

About

Pradeep Tomar is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Pradeep Tomar has authored 68 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Information Systems, 27 papers in Software and 17 papers in Artificial Intelligence. Recurrent topics in Pradeep Tomar's work include Software Engineering Research (29 papers), Software Reliability and Analysis Research (26 papers) and Software Testing and Debugging Techniques (12 papers). Pradeep Tomar is often cited by papers focused on Software Engineering Research (29 papers), Software Reliability and Analysis Research (26 papers) and Software Testing and Debugging Techniques (12 papers). Pradeep Tomar collaborates with scholars based in India, Vietnam and Ethiopia. Pradeep Tomar's co-authors include Arpit Bhardwaj, Aditi Sakalle, Harshit Bhardwaj, Deepak Panwar, Nasib Singh Gill, Arun Solanki, Anand Nayyar, Om Prakash Sangwan, Gurjit Kaur and Supriya Goel and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Ecological Modelling.

In The Last Decade

Pradeep Tomar

67 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Tomar India 14 161 139 118 74 70 68 525
Thaer Thaher Palestinian Territory 14 165 1.0× 85 0.6× 359 3.0× 33 0.4× 122 1.7× 26 637
Martin Loomes United Kingdom 13 104 0.6× 40 0.3× 244 2.1× 36 0.5× 50 0.7× 56 582
Partha S. Roop New Zealand 16 55 0.3× 55 0.4× 126 1.1× 14 0.2× 143 2.0× 146 1.0k
William Choi United States 6 182 1.1× 37 0.3× 143 1.2× 23 0.3× 167 2.4× 8 461
Yeong‐Seok Seo South Korea 12 236 1.5× 108 0.8× 119 1.0× 20 0.3× 88 1.3× 40 441
Dehai Zhao China 13 119 0.7× 39 0.3× 146 1.2× 14 0.2× 55 0.8× 22 473
João Durães Portugal 18 317 2.0× 434 3.1× 148 1.3× 121 1.6× 378 5.4× 42 854
Jose M. Lanza-Gutiérrez Spain 12 25 0.2× 59 0.4× 108 0.9× 27 0.4× 144 2.1× 41 551
Ning Xiong Sweden 17 88 0.5× 16 0.1× 513 4.3× 46 0.6× 40 0.6× 80 913
Mohamed Kholief Egypt 7 61 0.4× 31 0.2× 78 0.7× 108 1.5× 45 0.6× 34 333

Countries citing papers authored by Pradeep Tomar

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Tomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Tomar

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Tomar. A scholar is included among the top collaborators of Pradeep Tomar 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 Pradeep Tomar. Pradeep Tomar 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.
Tomar, Pradeep, et al.. (2025). ADNet: deep learning based model for Alzheimer’s disease classification. Iran Journal of Computer Science. 8(2). 687–699. 1 indexed citations
2.
Bhardwaj, Anuradha, Pradeep Tomar, & Vikrant Nain. (2024). Machine Learning-Driven Prediction of CRISPR-Cas9 Off-Target Effects and Mechanistic Insights. The EuroBiotech Journal. 8(4). 213–229.
3.
Tomar, Pradeep, et al.. (2024). Advancements in Alzheimer's disease classification using deep learning frameworks for multimodal neuroimaging: A comprehensive review. Computers & Electrical Engineering. 120. 109796–109796. 9 indexed citations
4.
Bhardwaj, Anuradha, Pradeep Tomar, & Vikrant Nain. (2023). Identification and evaluation of machine learning classification algorithm to predict the efficacy of gRNA in CRISPR/Cas9 genome editing system using WEKA. AIP conference proceedings. 2977. 40008–40008. 1 indexed citations
5.
Bhardwaj, Harshit, Pradeep Tomar, Aditi Sakalle, et al.. (2022). Personality Prediction with Hybrid Genetic Programming using Portable EEG Device. Computational Intelligence and Neuroscience. 2022. 1–8. 2 indexed citations
6.
Bhardwaj, Harshit, Pradeep Tomar, Aditi Sakalle, & Wubshet Ibrahim. (2021). EEG‐Based Personality Prediction Using Fast Fourier Transform and DeepLSTM Model. Computational Intelligence and Neuroscience. 2021(1). 6524858–6524858. 20 indexed citations
7.
Tomar, Pradeep, et al.. (2020). A novel quality prediction model for component based software system using ACO–NM optimized extreme learning machine. Cognitive Neurodynamics. 14(4). 509–522. 10 indexed citations
8.
Tomar, Pradeep, et al.. (2019). Automated software test optimization using test language processing.. The International Arab Journal of Information Technology. 16. 348–356. 2 indexed citations
9.
Tomar, Pradeep, et al.. (2018). Prediction of Software Reliability using Bio Inspired Soft Computing Techniques. Journal of Medical Systems. 42(5). 93–93. 21 indexed citations
10.
Jandial, Aditya, Kundan Mishra, Pradeep Tomar, et al.. (2018). Balanitis in Acute Lymphoblastic Leukemia: A Rare Etiology and Unusual Presentation. Indian Journal of Hematology and Blood Transfusion. 34(3). 546–548. 1 indexed citations
11.
Tomar, Pradeep, et al.. (2017). Design of dynamic metrics to measure component based software. 18. 753–757. 1 indexed citations
12.
Panwar, Deepak & Pradeep Tomar. (2017). New mathematical model for software quality prediction of component-based software using shuffled frog-leaping algorithm. International Journal of Computer Applications in Technology. 55(4). 266–266. 2 indexed citations
13.
Tomar, Pradeep, et al.. (2016). Web Service Component Reusability Evaluation: A Fuzzy Multi-Criteria Approach. International Journal of Information Technology and Computer Science. 8(1). 40–47. 3 indexed citations
14.
Tomar, Pradeep, et al.. (2016). Optimization and appraisal of PSO for CBS using CBSE metrics. International Conference on Computing for Sustainable Global Development. 1024–1028. 1 indexed citations
15.
Tomar, Pradeep, et al.. (2016). The analysis of software metrics for design complexity and its impact on reusability. International Conference on Computing for Sustainable Global Development. 3808–3812. 3 indexed citations
16.
Kaur, Jagdeep & Pradeep Tomar. (2015). Multi Objective Optimization Model using Preemptive Goal Programming for Software Component Selection. International Journal of Information Technology and Computer Science. 7(9). 31–37. 5 indexed citations
17.
Tomar, Pradeep, et al.. (2014). A Fuzzy Logic Approach to Measure the Complexity of Component-based Software. 1(2). 1–9. 1 indexed citations
18.
Verma, Garima & Pradeep Tomar. (2013). Predicting Quality Using Fuzzy Model on Object-Oriented Software Design. SSRN Electronic Journal. 18–29. 2 indexed citations
19.
Panwar, Deepak, et al.. (2011). New Method to Analyze the Impacts on Reliability and Reusability in Component-based Software Development. 6(1). 45–48. 2 indexed citations
20.

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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