Parteek Kumar

1.9k citations
54 papers · 1.1k · h-index 16

Impact in

Papers in

    • Natural Language Processing Techniques 16
    • Topic Modeling 14
    • Sentiment Analysis and Opinion Mining 8
    • Advanced Text Analysis Techniques 8
    • Speech and dialogue systems 6
    • Text and Document Classification Technologies 4
    • Hand Gesture Recognition Systems 8

Parteek Kumar

53 papers receiving 1.0k citations

Peers

Parteek Kumar
Comparison fields: 5 of 108
  • Human-Computer Interaction 429
  • Developmental and Educational Psychology 315
  • Artificial Intelligence 422
  • Computer Science Applications 65
  • Computer Vision and Pattern Recognition 203
Replace Darlis Herumurti with:
Darlis Herumurti Indonesia
Gede Putra Kusuma Indonesia
Mohammed Hasanuzzaman Ireland
Yousef Al-Ohali Saudi Arabia
Taha Alfakih Saudi Arabia
Morteza Zahedi Iran
Rebecca Fiebrink United Kingdom
Erik Andersen United States
Gillian Smith United States
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Citations per field
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Citations per year

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-authors

The 23 scholars most cited alongside Parteek Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Parteek Kumar Line = papers co-authored together Parteek Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020195
2 2019155
3 2017109
4 2018105
5 202166
6 202039
7 202028
8 201628
9 202025
10 201823
11 202422
12 202322
13 202222
14 202116
15 202216
16 202216
17 201815
18 201413
19 201212
20 201312

About Parteek Kumar

Parteek Kumar is a scholar working on Artificial Intelligence, Human-Computer Interaction, Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Computer Science Applications, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (14 papers), Hand Gesture Recognition Systems (8 papers), Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (8 papers), Hearing Impairment and Communication (7 papers), Speech and dialogue systems (6 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Human-Computer Interaction (429 citations), Developmental and Educational Psychology (315 citations), Artificial Intelligence (422 citations), Computer Science Applications (65 citations) and Computer Vision and Pattern Recognition (203 citations). Parteek Kumar has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Ankita Wadhawan, Karun Verma, V. P. Singh, Ponnurangam Kumaraguru, Sanmeet Kaur, Deepak Garg, Anika Gupta, Richa Sharma, Rajkumar Tekchandani and Swadha Gupta. Their work appears in journals such as Multimedia Tools and Applications, Sadhana, Digital Scholarship in the Humanities, Computer and Archives of Computational Methods in Engineering.

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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