Parteek Kumar

1.8k total citations
54 papers, 1.0k citations indexed

About

Parteek Kumar is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Parteek Kumar has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 9 papers in Human-Computer Interaction and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Parteek Kumar's work include Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers) and Sentiment Analysis and Opinion Mining (8 papers). Parteek Kumar is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers) and Sentiment Analysis and Opinion Mining (8 papers). Parteek Kumar collaborates with scholars based in India, United States and Israel. Parteek Kumar's co-authors include Ankita Wadhawan, Karun Verma, V. P. Singh, Ponnurangam Kumaraguru, Sanmeet Kaur, Richa Sharma, Anika Gupta, Deepak Garg, Rupinder Kaur and Rajendra Kumar Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computer.

In The Last Decade

Parteek Kumar

53 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parteek Kumar India	15	416	412	308	204	199	54	1.0k
Mohammed Hasanuzzaman Ireland	16	213 0.5×	355 0.9×	123 0.4×	202 1.0×	78 0.4×	64	751
Darlis Herumurti Indonesia	13	66 0.2×	157 0.4×	92 0.3×	116 0.6×	27 0.1×	101	554
Yousef Al-Ohali Saudi Arabia	14	112 0.3×	402 1.0×	41 0.1×	255 1.3×	38 0.2×	35	1.1k
Qifan Yang China	14	130 0.3×	217 0.5×	176 0.6×	170 0.8×	23 0.1×	21	757
Morteza Zahedi Iran	12	155 0.4×	138 0.3×	113 0.4×	213 1.0×	38 0.2×	53	516
Taha Alfakih Saudi Arabia	13	123 0.3×	166 0.4×	45 0.1×	141 0.7×	39 0.2×	41	733
Sarajane Marques Peres Brazil	12	103 0.2×	188 0.5×	49 0.2×	108 0.5×	22 0.1×	91	492
Rebecca Fiebrink United Kingdom	18	287 0.7×	213 0.5×	88 0.3×	530 2.6×	14 0.1×	76	1.0k
Kin Fun Li Canada	14	59 0.1×	173 0.4×	22 0.1×	154 0.8×	46 0.2×	90	686

Countries citing papers authored by Parteek Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Parteek Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parteek Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Parteek Kumar. A scholar is included among the top collaborators of Parteek Kumar 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 Parteek Kumar. Parteek Kumar 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

Gupta, Swadha, Parteek Kumar, & Rajkumar Tekchandani. (2025). Facial emotion-based student's attention in online learning using deep learning. International Journal of Services Economics and Management. 16(4/5). 319–341.

Kumar, Parteek, et al.. (2025). QFAS-KE: Query focused answer summarization using keyword extraction. Information Processing & Management. 62(4). 104104–104104. 1 indexed citations

Gupta, Swadha, Parteek Kumar, & Rajkumar Tekchandani. (2024). Artificial intelligence based cognitive state prediction in an e-learning environment using multimodal data. Multimedia Tools and Applications. 83(24). 64467–64498. 8 indexed citations

Kumar, Parteek, et al.. (2024). Tomato ripeness and shelf-life prediction system using machine learning. Journal of Food Measurement & Characterization. 18(4). 2715–2730. 17 indexed citations

Kumar, Parteek, et al.. (2023). A Systematic survey on automated text generation tools and techniques: application, evaluation, and challenges. Multimedia Tools and Applications. 82(28). 43089–43144. 9 indexed citations

Kagan, Eugene, et al.. (2023). Unsupervised Classification under Uncertainty: The Distance-Based Algorithm. Mathematics. 11(23). 4784–4784. 1 indexed citations

Gupta, Anika, Deepak Garg, & Parteek Kumar. (2022). Mining Sequential Learning Trajectories With Hidden Markov Models For Early Prediction of At-Risk Students in E-Learning Environments. IEEE Transactions on Learning Technologies. 15(6). 783–797. 14 indexed citations

Khanna, Abhishek, et al.. (2022). Revamping the Doctrinal Irrigation System into Smart Irrigation Framework Using Real Time Forecasting and Internet of Things (Iot) Based Concepts. SSRN Electronic Journal. 1 indexed citations

Banerjee, Sneha, et al.. (2021). Quote examiner: verifying quoted images using web-based text similarity. Multimedia Tools and Applications. 80(8). 12135–12154. 1 indexed citations

10.

Wadhawan, Ankita & Parteek Kumar. (2020). Deep learning-based sign language recognition system for static signs. Neural Computing and Applications. 32(12). 7957–7968. 192 indexed citations

11.

Kumar, Parteek, et al.. (2019). Real-Time Sentiment Analysis of Tweets: A Case Study of Punjab Elections. 1–12. 2 indexed citations

12.

Gupta, Anika, Deepak Garg, & Parteek Kumar. (2018). Analysis of Students’ Ratings of Teaching Quality to Understand the Role of Gender and Socio-Economic Diversity in Higher Education. IEEE Transactions on Education. 61(4). 319–327. 14 indexed citations

13.

Sharma, Richa, et al.. (2018). An efficient speaker recognition using quantum neural network. Modern Physics Letters B. 32(31). 1850384–1850384. 7 indexed citations

14.

Kumar, Parteek, et al.. (2018). A sentiment analysis system for social media using machine learning techniques: Social enablement. Digital Scholarship in the Humanities. 34(3). 569–581. 3 indexed citations

15.

Kumar, Parteek, et al.. (2017). CASAS: Customized Automated Sentiment Analysis System. 5(1). 275–275. 2 indexed citations

16.

Kumar, Parteek, et al.. (2016). Mapping Hindi Text To Indian sign language with Extension Using Wordnet. 1–5. 12 indexed citations

17.

Kumar, Parteek, et al.. (2014). Creation of Lexical Relations for IndoWordNet. 206–214. 1 indexed citations

18.

Kaur, Rupinder & Parteek Kumar. (2014). HamNoSys generation system for sign language. 2727–2734. 13 indexed citations

19.

Kumar, Parteek & Rajendra Kumar Sharma. (2013). Punjabi DeConverter for generating Punjabi from Universal Networking Language. Journal of Zhejiang University SCIENCE C. 14(3). 179–196. 12 indexed citations

20.

Kumar, Parteek, et al.. (2013). NLization of Nouns, Pronouns and Prepositions in Punjabi With EUGENE. Zenodo (CERN European Organization for Nuclear Research). 2(2). 33–42. 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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