Amit Kumar Jakhar

410 total citations · 1 hit paper
12 papers, 244 citations indexed

About

Amit Kumar Jakhar is a scholar working on Information Systems, Software and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Kumar Jakhar has authored 12 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Software and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Kumar Jakhar's work include Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Software Engineering Techniques and Practices (3 papers). Amit Kumar Jakhar is often cited by papers focused on Software Engineering Research (5 papers), Software Reliability and Analysis Research (4 papers) and Software Engineering Techniques and Practices (3 papers). Amit Kumar Jakhar collaborates with scholars based in India, Lebanon and Jordan. Amit Kumar Jakhar's co-authors include Mrityunjay Singh, Shivam Pandey, Kumar Rajnish, Wattana Viriyasitavat, Shubham Goel, Rohit Sharma and Gaurav Dhiman and has published in prestigious journals such as Multimedia Tools and Applications, Social Network Analysis and Mining and Evolutionary Intelligence.

In The Last Decade

Amit Kumar Jakhar

11 papers receiving 231 citations

Hit Papers

align trajectories

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.

Sentiment analysis on the impact of coronavirus in social life using the BERT model

2021 168 citations Mrityunjay Singh, Amit Kumar Jakhar et al. Social Network Analysis and Mining profile →

Peers

Amit Kumar Jakhar

AI

IS

SPS

CNC

RNMI

Youness Madani Morocco

Zainab Imtiaz Pakistan

Shubham Atreja United States

Ekaterina Kochmar United Kingdom

Chuan‐Jie Lin Taiwan

Xinhua Zhu China

J.I. Sheeba India

Suzan Üsküdarlı Türkiye

Seng-Phil Hong South Korea

Yannis Katsis United States

Youness Madani Morocco

Amit Kumar Jakhar

190 ×1.1

AI

134 ×1.8

IS

60 ×1.0

SPS

14 ×0.6

CNC

9 ×0.4

RNMI

Citations per year, relative to Amit Kumar Jakhar Amit Kumar Jakhar (= 1×) peers Youness Madani

Countries citing papers authored by Amit Kumar Jakhar

Since Specialization

Citations

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

Fields of papers citing papers by Amit Kumar Jakhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Kumar Jakhar

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

All Works

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12 of 12 papers shown

1.

Singh, Mrityunjay, et al.. (2025). SELFVarBL: a Stacking-based Ensemble Learning Framework with Variable numbers of Base-Learners. Evolutionary Intelligence. 18(5).

2.

Jakhar, Amit Kumar, Mrityunjay Singh, Rohit Sharma, et al.. (2024). Correction to: A blockchain-based privacy-preserving and access-control framework for electronic health records management. Multimedia Tools and Applications. 83(36). 84249–84250. 5 indexed citations

3.

Jakhar, Amit Kumar, Mrityunjay Singh, Rohit Sharma, et al.. (2024). A blockchain-based privacy-preserving and access-control framework for electronic health records management. Multimedia Tools and Applications. 83(36). 84195–84229. 17 indexed citations

4.

Jakhar, Amit Kumar, et al.. (2023). SELF: a stacked-based ensemble learning framework for breast cancer classification. Evolutionary Intelligence. 17(3). 1341–1356. 33 indexed citations

5.

Singh, Mrityunjay, Amit Kumar Jakhar, & Shivam Pandey. (2021). Sentiment analysis on the impact of coronavirus in social life using the BERT model. Social Network Analysis and Mining. 11(1). 33–33. 168 indexed citations breakdown →

6.

Jakhar, Amit Kumar, et al.. (2021). Dog breed classification using convolution neural network. 6(2). 130–130. 3 indexed citations

7.

Jakhar, Amit Kumar & Kumar Rajnish. (2018). Software Fault Prediction with Data Mining Techniques by Using Feature Selection Based Models. International Journal on Electrical Engineering and Informatics. 10(3). 447–465. 5 indexed citations

8.

Jakhar, Amit Kumar, et al.. (2016). A Cognitive Measurement Of Complexity And Comprehension For Object-Oriented Code. Zenodo (CERN European Organization for Nuclear Research). 10(3). 643–650. 2 indexed citations

9.

Jakhar, Amit Kumar & Kumar Rajnish. (2015). Cognitive Estimation of Development Effort, Time, Errors, and the Defects of Software. 13(6). 465–478. 1 indexed citations

10.

Jakhar, Amit Kumar & Kumar Rajnish. (2015). An Empirical Approach for Estimation of the Software Development Effort. International Journal of Multimedia and Ubiquitous Engineering. 10(2). 97–110. 1 indexed citations

11.

Jakhar, Amit Kumar & Kumar Rajnish. (2014). A New Cognitive Approach to Measure the Complexity of Software's. International Journal of Software Engineering and Its Applications. 8(7). 185–198. 4 indexed citations

12.

Jakhar, Amit Kumar & Kumar Rajnish. (2014). Measuring Complexity, Development Time and Understandability of a Program: A Cognitive Approach. International Journal of Information Technology and Computer Science. 6(12). 53–60. 5 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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