Biplab Deka
- Human-Computer Interaction top 5%
- Usability and User Interface Design 3
- Persona Design and Applications 2
- Software top 10%
- Human Factors and Ergonomics top 10%
- Signal Processing top 5%
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- Mobile Crowdsensing and Crowdsourcing 2
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- Complex Network Analysis Techniques 2
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- Web Data Mining and Analysis 2
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- Green IT and Sustainability 1
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- Human Mobility and Location-Based Analysis 1
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- Social Media and Politics 1
- Co-authors
- Ranjitha KumarYang LiJeffrey NicholsDaniel AferganDan RothWen‐mei HwuKai-Wei ChangRakesh Kumar
- Journals
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)VBN Forskningsportal (Aalborg Universitet) (1 paper)IDEALS (University of Illinois Urbana-Champaign) (1 paper)
- Partner nations
- United StatesDenmark
In The Last Decade
Biplab Deka
11 papers receiving 400 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Human-Computer Interaction 94
- Software 50
- Human Factors and Ergonomics 23
- Signal Processing 102
- Computer Science Applications 50
Countries citing papers authored by Biplab Deka
This map shows the geographic impact of Biplab Deka'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 Biplab Deka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biplab Deka more than expected).
Fields of papers citing papers by Biplab Deka
This network shows the impact of papers produced by Biplab Deka. 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 Biplab Deka. The network helps show where Biplab Deka may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Biplab Deka, 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 | Ricobreakdown → | 2017 | 267 |
| 2 | 2017 | 22 | |
| 3 | Interaction mining mobile apps | 2017 | 1 |
| 4 | 2016 | 1 | |
| 5 | 2016 | 6 | |
| 6 | 2016 | 64 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 2 | |
| 9 | 2013 | 1 | |
| 10 | 2012 | 39 | |
| 11 | 2011 | 7 |
About Biplab Deka
Biplab Deka is a scholar working on Human-Computer Interaction, Computer Science Applications and Statistical and Nonlinear Physics, having authored 11 papers that have together received 411 indexed citations. Recurring topics across this work include Usability and User Interface Design (3 papers), Persona Design and Applications (2 papers), Complex Network Analysis Techniques (2 papers), Web Data Mining and Analysis (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Green IT and Sustainability (1 paper), Human Mobility and Location-Based Analysis (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Human-Computer Interaction (94 citations), Software (50 citations) and Human Factors and Ergonomics (23 citations). Biplab Deka has collaborated with scholars based in United States and Denmark. Frequent co-authors include Ranjitha Kumar, Yang Li, Jeffrey Nichols, Daniel Afergan, Dan Roth, Wen‐mei Hwu, Kai-Wei Chang, Rakesh Kumar, Vikash K. Mansinghka and Jerry O. Talton. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, VBN Forskningsportal (Aalborg Universitet) and IDEALS (University of Illinois Urbana-Champaign).
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.