Ranjitha Kumar
- Human-Computer Interaction top 1%
- Innovative Human-Technology Interaction 6
-
- Mobile Crowdsensing and Crowdsourcing 6
- Software top 5%
-
- Data Visualization and Analytics 4
-
- Web Data Mining and Analysis 7
-
- Complex Network Analysis Techniques 3
-
- Semantic Web and Ontologies 3
- Natural Language Processing Techniques 3
-
- Multimedia Communication and Technology 3
- Co-authors
- Scott KlemmerJerry O. TaltonBiplab DekaSalman AhmadJeffrey NicholsYang LiDaniel AferganRadomír Měch
- Journals
- Proceedings of the ACM on Human-Computer Interaction (1 paper)CHI Conference on Human Factors in Computing Systems Extended Abstracts (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ranjitha Kumar
28 papers receiving 968 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Human-Computer Interaction 278
- Computer Science Applications 123
- Software 76
- Computer Vision and Pattern Recognition 402
- Computer Graphics and Computer-Aided Design 66
Countries citing papers authored by Ranjitha Kumar
This map shows the geographic impact of Ranjitha Kumar'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 Ranjitha Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjitha Kumar more than expected).
Fields of papers citing papers by Ranjitha Kumar
This network shows the impact of papers produced by Ranjitha Kumar. 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 Ranjitha Kumar. The network helps show where Ranjitha Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ranjitha Kumar, 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 | 0 | |
| 2 | 2022 | 14 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 85 | |
| 9 | 2018 | 19 | |
| 10 | An experimentation engine for data-driven fashion systems | 2017 | 5 |
| 11 | Ricobreakdown → | 2017 | 267 |
| 12 | 2016 | 1 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 64 | |
| 15 | 2015 | 3 | |
| 16 | Data-driven web design | 2012 | 3 |
| 17 | 2012 | 2 | |
| 18 | 2011 | 117 | |
| 19 | 2010 | 122 | |
| 20 | 2009 | 7 |
About Ranjitha Kumar
Ranjitha Kumar is a scholar working on Computer Science Applications, Human-Computer Interaction and Museology, having authored 30 papers that have together received 989 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Innovative Human-Technology Interaction (6 papers), Data Visualization and Analytics (4 papers), Complex Network Analysis Techniques (3 papers), Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (3 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Human-Computer Interaction (278 citations), Computer Science Applications (123 citations) and Software (76 citations). Ranjitha Kumar has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott Klemmer, Jerry O. Talton, Biplab Deka, Salman Ahmad, Jeffrey Nichols, Yang Li, Daniel Afergan, Radomír Měch, Brian Lee and Ronen I. Brafman. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, CHI Conference on Human Factors in Computing Systems Extended Abstracts, International Conference on Machine Learning, National Conference on Artificial Intelligence and 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
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.