Kalpdrum Passi

814 total citations
46 papers, 427 citations indexed

About

Kalpdrum Passi is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Kalpdrum Passi has authored 46 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Molecular Biology and 9 papers in Information Systems. Recurrent topics in Kalpdrum Passi's work include Gene expression and cancer classification (5 papers), Semantic Web and Ontologies (4 papers) and Matrix Theory and Algorithms (4 papers). Kalpdrum Passi is often cited by papers focused on Gene expression and cancer classification (5 papers), Semantic Web and Ontologies (4 papers) and Matrix Theory and Algorithms (4 papers). Kalpdrum Passi collaborates with scholars based in Canada, India and New Zealand. Kalpdrum Passi's co-authors include Chakresh Kumar Jain, Aniket Mahanti, Bryan A. White, Sanjay Madria, Sourav S. Bhowmick, B.K. Mohanty, M. M. Chawla, Mayuri A. Mehta, Mohammed Alqarni and Meysar Ƶeinali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Approximate Reasoning.

In The Last Decade

Kalpdrum Passi

40 papers receiving 399 citations

Peers

Kalpdrum Passi

AI

RNMI

IS

EE

CVPR

Vibhakar Mansotra India

Filip Železný Czechia

Marion O. Adebiyi Nigeria

Sheikh Mohammad Idrees Norway

Jamshid Bagherzadeh Iran

Shazia Saqib Pakistan

Hemant Palivela India

Syed Hamad Shirazi Pakistan

Wasim Ahmad Khan Pakistan

Vibhakar Mansotra India

Kalpdrum Passi

237 ×1.6

AI

234 ×2.7

RNMI

67 ×0.8

IS

23 ×0.3

EE

62 ×1.1

CVPR

Citations per year, relative to Kalpdrum Passi Kalpdrum Passi (= 1×) peers Vibhakar Mansotra

Countries citing papers authored by Kalpdrum Passi

Since Specialization

Citations

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

Fields of papers citing papers by Kalpdrum Passi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalpdrum Passi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Passi, Kalpdrum, et al.. (2025). Impact of an Educational Intervention on BPPV Management: An Interrupted Time Series Analysis. Algorithms. 18(10). 606–606.

2.

Passi, Kalpdrum, et al.. (2024). Detecting Fake Accounts on Instagram Using Machine Learning and Hybrid Optimization Algorithms. Algorithms. 17(10). 425–425. 2 indexed citations

3.

Passi, Kalpdrum, et al.. (2024). Injury Prediction for Canadian Mineral Exploration Using Machine Learning. 127–131.

4.

Mahanti, Aniket, et al.. (2024). DQN Approach for Adaptive Self-Healing of VNFs in Cloud-Native Network. IEEE Access. 12. 34489–34504. 1 indexed citations

5.

Passi, Kalpdrum, et al.. (2023). Crop Disease Detection Using Deep Learning Techniques on Images. Journal of Computer Science. 19(12). 1438–1449. 1 indexed citations

6.

Passi, Kalpdrum, et al.. (2023). Detecting Image Forgery over Social Media Using U-NET with Grasshopper Optimization. Algorithms. 16(9). 399–399. 4 indexed citations

7.

Jain, Chakresh Kumar, et al.. (2023). Recent Developments in Combinatorial Immunotherapy towards OvarianCancer. Current Women s Health Reviews. 20(4). 2 indexed citations

8.

Naha, Ranesh Kumar, et al.. (2023). An Agriprecision Decision Support System for Weed Management in Pastures. IEEE Access. 11. 92660–92675. 2 indexed citations

9.

Gupta, Nidhi, et al.. (2022). Applications of Artificial Intelligence Based Technologies in Weed and Pest Detection. Journal of Computer Science. 18(6). 520–529. 4 indexed citations

10.

Passi, Kalpdrum, et al.. (2022). Social Media Hate Speech Detection Using Explainable Artificial Intelligence (XAI). Algorithms. 15(8). 291–291. 36 indexed citations

11.

Passi, Kalpdrum, et al.. (2022). Predicting liver cancer on epigenomics data using machine learning. SHILAP Revista de lepidopterología. 2. 954529–954529. 3 indexed citations

12.

Passi, Kalpdrum, et al.. (2020). Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models. Frontiers in Artificial Intelligence. 3. 583427–583427. 44 indexed citations

13.

Schell, Bernadette H., et al.. (2019). How U.S. and Canadian Universities and Colleges Dealt with Malware and Ransomware Attacks in 2016-2017. 15(2). 117–158. 1 indexed citations

14.

Passi, Kalpdrum, et al.. (2018). Increased Prediction Accuracy in the Game of Cricket Using Machine Learning. 8(2). 19–36. 41 indexed citations

15.

Passi, Kalpdrum, et al.. (2017). Microarray Data Analysis of Yeast Data Using Sparse Non-negative Matrix Factorization. 310. 1259–1264.

16.

Mohanty, B.K. & Kalpdrum Passi. (2010). Agent based e-commerce systems that react to buyers’ feedbacks – A fuzzy approach. International Journal of Approximate Reasoning. 51(8). 948–963. 13 indexed citations

17.

Koczkodaj, Waldemar W., Phyllis Montgomery, Kalpdrum Passi, et al.. (2008). Supporting a Medical Diagnostic Process by Selected AI Methods : an Asperger Syndrome Case Study. 2 indexed citations

18.

Mohanty, B.K. & Kalpdrum Passi. (2006). Web based information for product ranking in e-business. 558–563. 1 indexed citations

19.

Fiaidhi, Jinan, Kalpdrum Passi, & Sabah Mohammed. (2004). Developing a Framework for Learning Objects Search Engine.. International Conference on Internet Computing. 55(4). 610–616. 2 indexed citations

20.

Chawla, M. M., Kalpdrum Passi, & R.A Zalik. (1990). A recursive doubling algorithm for inverting tridiagonal matrices. International Journal of Computer Mathematics. 37(3-4). 213–220. 1 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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