Anoop Kumar Sinha

495 citations
16 papers · 362 · h-index 7

Impact in

Papers in

Anoop Kumar Sinha

16 papers receiving 335 citations

Peers

Anoop Kumar Sinha
Comparison fields: 5 of 65
  • Human-Computer Interaction 140
  • Computer Science Applications 19
  • Automotive Engineering 41
  • Cognitive Neuroscience 51
  • Artificial Intelligence 89
Replace Fangtian Ying with:
Fangtian Ying China
Haipeng Mi China
Jun Yamashita Japan
Jonathan M. Vitale United States
Lea Albaugh United States
Jae‐Eun Shin South Korea
Tibor Guzsvinecz Hungary
Salsabeel F. M. Alfalah Jordan
Oğuzhan Özcan Türkiye
Jannat Falah Jordan
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Citations per field
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Citations per year

Countries citing papers authored by Anoop Kumar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Anoop Kumar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Anoop Kumar Sinha, 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 Anoop Kumar Sinha Line = papers co-authored together Anoop Kumar Sinha links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2000155
2 202374
3 202248
4 200318
5 200217
6 200111
7 20028
8 20176
9 20016
10 20016
11 20235
12 20242
13 20252
14
Informally prototyping multimodal, multidevice user interfaces
20032
15 20251
16 20031

About Anoop Kumar Sinha

Anoop Kumar Sinha is a scholar working on Artificial Intelligence, Human-Computer Interaction, Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 16 papers that have together received 362 indexed citations. Recurring topics across this work include Speech and dialogue systems (7 papers), Usability and User Interface Design (6 papers), Interactive and Immersive Displays (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Context-Aware Activity Recognition Systems (2 papers), Robot Manipulation and Learning (2 papers), Tactile and Sensory Interactions (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Human-Computer Interaction (140 citations), Computer Science Applications (19 citations), Automotive Engineering (41 citations), Cognitive Neuroscience (51 citations) and Artificial Intelligence (89 citations). Anoop Kumar Sinha has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include James A. Landay, Scott Klemmer, Jack Chen, Annie Wang, Wai Yee Yeong, Guo Liang Goh, Yiyu Cai, Xin Li, Zhengchen Li and Teng Yong Ng. Their work appears in journals such as Advanced Materials Technologies, Advanced Engineering Materials, Computers in Industry, International Journal of Social Robotics and Advanced Materials Interfaces.

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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