Seema Nagar
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology 4
- Safety Research top 5%
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining 4
- Anomaly Detection Techniques and Applications 4
- Topic Modeling 3
- Advanced Text Analysis Techniques 3
- Software top 10%
- Software Reliability and Analysis Research 3
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- Software System Performance and Reliability 6
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- Complex Network Analysis Techniques 5
- Co-authors
- Kuntal DeyDiptikalyan SahaPranay LohiaAbhijit MishraFerdous Ahmed BarbhuiyaDiptesh KanojiaPushpak BhattacharyyaAnupam Joshi
- Partner nations
- IndiaUnited StatesBrunei
In The Last Decade
Seema Nagar
30 papers receiving 405 citations
Peers
Comparison fields: 5 of 69
- Human-Computer Interaction 50
- Safety Research 68
- Artificial Intelligence 251
- Health Informatics 10
- Software 23
Countries citing papers authored by Seema Nagar
This map shows the geographic impact of Seema Nagar'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 Seema Nagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seema Nagar more than expected).
Fields of papers citing papers by Seema Nagar
This network shows the impact of papers produced by Seema Nagar. 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 Seema Nagar. The network helps show where Seema Nagar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seema Nagar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 27 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 101 | |
| 9 | 2019 | 16 | |
| 10 | 2019 | 2 | |
| 11 | Using a Common Sense Knowledge Base to Auto Generate Multi-Dimensional Vocabulary Assessments. | 2018 | 1 |
| 12 | 2018 | 22 | |
| 13 | Graph Based Sentiment Aggregation using ConceptNet Ontology | 2017 | 4 |
| 14 | 2016 | 37 | |
| 15 | 2016 | 10 | |
| 16 | 2015 | 0 | |
| 17 | 2015 | 1 | |
| 18 | 2013 | 7 | |
| 19 | 2012 | 20 | |
| 20 | 2009 | 15 |
About Seema Nagar
Seema Nagar is a scholar working on Software, Human-Computer Interaction, Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 33 papers that have together received 431 indexed citations. Recurring topics across this work include Software System Performance and Reliability (6 papers), Complex Network Analysis Techniques (5 papers), Gaze Tracking and Assistive Technology (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Anomaly Detection Techniques and Applications (4 papers), Software Reliability and Analysis Research (3 papers), Topic Modeling (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Safety Research (68 citations), Artificial Intelligence (251 citations), Health Informatics (10 citations) and Software (23 citations). Seema Nagar has collaborated with scholars based in India, United States and Brunei. Frequent co-authors include Kuntal Dey, Diptikalyan Saha, Pranay Lohia, Abhijit Mishra, Ferdous Ahmed Barbhuiya, Diptesh Kanojia, Pushpak Bhattacharyya, Anupam Joshi, Karan Ahuja and Ramasuri Narayanam. Their work appears in journals such as IEEE Software, World Wide Web, PLoS ONE, Social Network Analysis and Mining and Journal of Network and Systems Management.
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.