Biplab Deka
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Usability and User Interface Design 3
- Persona Design and Applications 2
-
- Web Data Mining and Analysis 2
- Expert finding and Q&A systems 1
- Co-authors
- Ranjitha Kumar (5 shared papers)Yang Li (2 shared papers)Jeffrey Nichols (2 shared papers)Daniel Afergan (1 shared paper)Kai-Wei Chang (1 shared paper)Wen‐mei Hwu (1 shared paper)Dan Roth (1 shared paper)Rakesh Kumar (3 shared papers)
- 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
Biplab Deka's 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-authors
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 | Rico Hit paper breakdown → | 2017 | 267 |
| 2 | 2016 | 64 | |
| 3 | 2012 | 39 | |
| 4 | 2017 | 22 | |
| 5 | 2011 | 7 | |
| 6 | 2016 | 6 | |
| 7 | 2014 | 2 | |
| 8 | 2016 | 1 | |
| 9 | 2013 | 1 | |
| 10 | Interaction mining mobile apps | 2017 | 1 |
| 11 | 2015 | 1 |
About Biplab Deka
Biplab Deka is a scholar working on Human-Computer Interaction, Information Systems, Computer Networks and Communications, Sociology and Political Science 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), Complex Network Analysis Techniques (2 papers), Persona Design and Applications (2 papers), Web Data Mining and Analysis (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Social Media and Politics (1 paper), Expert finding and Q&A systems (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Human-Computer Interaction (94 citations), Software (50 citations), Human Factors and Ergonomics (23 citations), Signal Processing (102 citations) and Computer Science Applications (50 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, Kai-Wei Chang, Wen‐mei Hwu, Dan Roth, 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.