Trilok Chand

566 total citations
19 papers, 373 citations indexed

About

Trilok Chand is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Trilok Chand has authored 19 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Trilok Chand's work include EEG and Brain-Computer Interfaces (6 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Mobile Ad Hoc Networks (3 papers). Trilok Chand is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Energy Efficient Wireless Sensor Networks (4 papers) and Mobile Ad Hoc Networks (3 papers). Trilok Chand collaborates with scholars based in India. Trilok Chand's co-authors include Ashima Khosla, Padmavati Khandnor, Mahesh Prakash, Devendra Kumar Chouhan, Bhisham Sharma and Shailendra Narayan Singh and has published in prestigious journals such as IEEE Sensors Journal, Journal of Neural Engineering and Archives of Computational Methods in Engineering.

In The Last Decade

Trilok Chand

17 papers receiving 364 citations

Peers

Trilok Chand
Yashodhan Athavale Canada
Aung Aung Phyo Wai Singapore
Ashima Khosla India
Padmavati Khandnor India
Md Azam Hossain Bangladesh
Amirmasoud Ahmadi Iran
Lingyun Gu China
Norliza Zaini Malaysia
Manuel Gil-Martín Spain
Duanpo Wu China
Yashodhan Athavale Canada
Trilok Chand
Citations per year, relative to Trilok Chand Trilok Chand (= 1×) peers Yashodhan Athavale

Countries citing papers authored by Trilok Chand

Since Specialization
Citations

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

Fields of papers citing papers by Trilok Chand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trilok Chand

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

All Works

19 of 19 papers shown
1.
2.
Khandnor, Padmavati, et al.. (2024). Identifying autism using EEG: unleashing the power of feature selection and machine learning. Biomedical Physics & Engineering Express. 10(3). 35013–35013. 3 indexed citations
3.
Khandnor, Padmavati, et al.. (2024). Identification of autism spectrum disorder using electroencephalography and machine learning: a review. Journal of Neural Engineering. 21(6). 61006–61006. 3 indexed citations
4.
Khosla, Ashima, et al.. (2023). Automated knee osteoarthritis severity classification using three‐stage preprocessing method andVGG16architecture. International Journal of Imaging Systems and Technology. 33(3). 1028–1047. 11 indexed citations
5.
6.
Khosla, Ashima, Padmavati Khandnor, & Trilok Chand. (2022). A novel method for EEG based automated eyes state classification using recurrence plots and machine learning approach. Concurrency and Computation Practice and Experience. 34(13). 6 indexed citations
7.
Chand, Trilok, et al.. (2021). A comparative analysis of automatic classification and grading methods for knee osteoarthritis focussing on X-ray images. Journal of Applied Biomedicine. 41(2). 419–444. 38 indexed citations
8.
Khosla, Ashima, Padmavati Khandnor, & Trilok Chand. (2021). EEG‐based automatic multi‐class classification of epileptic seizure types using recurrence plots. Expert Systems. 39(5). 16 indexed citations
9.
Khosla, Ashima, Padmavati Khandnor, & Trilok Chand. (2021). Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis. Journal of Applied Biomedicine. 42(1). 108–142. 54 indexed citations
10.
Chand, Trilok, et al.. (2020). Sigh Syndrome: An Emerging Issue in the Healthy PopulationAmid the COVID-19 Pandemic. 9(11). 43–45.
11.
Chand, Trilok, et al.. (2020). Global Care through Ayurveda in Pandemic of COVID -19. International Journal of Health Sciences and Research. 10(6). 165–172. 4 indexed citations
12.
Khosla, Ashima, Padmavati Khandnor, & Trilok Chand. (2020). A comparative analysis of signal processing and classification methods for different applications based on EEG signals. Journal of Applied Biomedicine. 40(2). 649–690. 172 indexed citations
13.
Chand, Trilok, et al.. (2017). Improved Trickle Algorithm for Routing Protocol for Low Power and Lossy Networks. IEEE Sensors Journal. 18(5). 2178–2183. 32 indexed citations
14.
Singh, Shailendra Narayan, et al.. (2016). Effect of Aggregation Operators on Network-Based Disease Gene Prioritization: A Case Study on Blood Disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(6). 1276–1287. 6 indexed citations
15.
16.
17.
Chand, Trilok & Bhisham Sharma. (2015). HRCCTP: A hybrid reliable and congestion control transport protocol for wireless sensor networks. 1–4. 18 indexed citations
18.
Singh, Shailendra Narayan, et al.. (2013). RNA Secondary Structure Prediction Algorithms Including Pseudoknots. Current Bioinformatics. 9(3). 268–283. 2 indexed citations
19.
Chand, Trilok, et al.. (2009). Propagation modeling — a CSP approach. 1–5. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yashodhan Athavale Breakdown of academic impact, for papers by Aung Aung Phyo Wai Breakdown of academic impact, for papers by Ashima Khosla Breakdown of academic impact, for papers by Padmavati Khandnor Breakdown of academic impact, for papers by Md Azam Hossain Breakdown of academic impact, for papers by Amirmasoud Ahmadi Breakdown of academic impact, for papers by Lingyun Gu Breakdown of academic impact, for papers by Norliza Zaini Breakdown of academic impact, for papers by Manuel Gil-Martín Breakdown of academic impact, for papers by Duanpo Wu
Rankless by CCL
2026