Arpit Bhardwaj
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Health Information Management top 2%
- Molecular Biology
- Co-authors
- Aruna TiwariAditi SakalleShivani GoelHarshit BhardwajPradeep TomarArvind KumarWubshet IbrahimMichael Brünig
- Topics
- EEG and Brain-Computer Interfaces (17 papers)Evolutionary Algorithms and Applications (9 papers)Emotion and Mood Recognition (8 papers)
In The Last Decade
Arpit Bhardwaj
43 papers receiving 856 citations
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 353
- Cognitive Neuroscience 241
- Experimental and Cognitive Psychology 121
- Health Information Management 104
- Molecular Biology 90
Countries citing papers authored by Arpit Bhardwaj
This map shows the geographic impact of Arpit Bhardwaj'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 Arpit Bhardwaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpit Bhardwaj more than expected).
Fields of papers citing papers by Arpit Bhardwaj
This network shows the impact of papers produced by Arpit Bhardwaj. 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 Arpit Bhardwaj. The network helps show where Arpit Bhardwaj may publish in the future.
Co-authorship network of co-authors of Arpit Bhardwaj
This figure shows the co-authorship network connecting the top 25 collaborators of Arpit Bhardwaj. A scholar is included among the top collaborators of Arpit Bhardwaj 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 Arpit Bhardwaj. Arpit Bhardwaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 30 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 28 | |
| 12 | 20 | |
| 13 | 39 | |
| 14 | 7 | |
| 15 | 28 | |
| 16 | 24 | |
| 17 | 50 | |
| 18 | 11 | |
| 19 | 9 | |
| 20 | Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming. | 2 |
About Arpit Bhardwaj
Arpit Bhardwaj is a scholar working on Health Information Management, Cognitive Neuroscience and Artificial Intelligence, having authored 45 papers that have together received 901 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Evolutionary Algorithms and Applications (9 papers) and Emotion and Mood Recognition (8 papers). The work is most often cited by research in Health Information Management (104 citations), Cognitive Neuroscience (241 citations) and Artificial Intelligence (353 citations). Arpit Bhardwaj has collaborated with scholars based in India, Ethiopia and Malaysia. Frequent co-authors include Aruna Tiwari, Aditi Sakalle, Shivani Goel, Harshit Bhardwaj, Pradeep Tomar, Arvind Kumar, Wubshet Ibrahim, Michael Brünig, Steffen Gerke and Anurag Singh Baghel. Their work appears in journals such as Expert Systems with Applications, Nanotechnology and International Journal of Solids and Structures.
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.