Ranjitha Kumar

1.8k total citations · 1 hit paper
30 papers, 989 citations indexed

About

Ranjitha Kumar is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ranjitha Kumar has authored 30 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ranjitha Kumar's work include Web Data Mining and Analysis (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Innovative Human-Technology Interaction (6 papers). Ranjitha Kumar is often cited by papers focused on Web Data Mining and Analysis (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Innovative Human-Technology Interaction (6 papers). Ranjitha Kumar collaborates with scholars based in United States, Canada and United Kingdom. Ranjitha Kumar's 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 and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, International Conference on Machine Learning and National Conference on Artificial Intelligence.

In The Last Decade

Ranjitha Kumar

28 papers receiving 968 citations

Hit Papers

Rico 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rico
    2017 267 citations Biplab Deka, Daniel Afergan et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ranjitha Kumar United States 12 402 278 278 169 123 30 989
Chris Brown United States 14 294 0.7× 137 0.5× 245 0.9× 110 0.7× 67 0.5× 58 749
David Kurlander United States 16 388 1.0× 284 1.0× 291 1.0× 425 2.5× 142 1.2× 23 1.2k
James Eagan France 12 675 1.7× 110 0.4× 177 0.6× 333 2.0× 146 1.2× 27 1.1k
Christine Alvarado United States 22 326 0.8× 373 1.3× 340 1.2× 262 1.6× 657 5.3× 75 1.7k
Moira C. Norrie Switzerland 19 353 0.9× 320 1.2× 670 2.4× 149 0.9× 92 0.7× 151 1.2k
Bjoern Hartmann United States 15 289 0.7× 140 0.5× 307 1.1× 346 2.0× 227 1.8× 49 1.1k
Paul Calder Australia 12 164 0.4× 185 0.7× 184 0.7× 169 1.0× 54 0.4× 38 680
David Maulsby Canada 12 219 0.5× 320 1.2× 333 1.2× 531 3.1× 161 1.3× 31 1.2k
Craig Anslow New Zealand 17 231 0.6× 632 2.3× 223 0.8× 180 1.1× 150 1.2× 85 1.0k

Countries citing papers authored by Ranjitha Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ranjitha Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjitha Kumar. A scholar is included among the top collaborators of Ranjitha Kumar 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 Ranjitha Kumar. Ranjitha Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moss, Jason D., et al.. (2024). LLM-powered Multimodal Insight Summarization for UX Testing. 4–11.
2.
Jiang, Yue, Jeffrey Nichols, Wolfgang Stuerzlinger, et al.. (2022). Computational Approaches for Understanding, Generating, and Adapting User Interfaces. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 1–6. 14 indexed citations
3.
Chen, Qing‐Lin, et al.. (2021). FITNet. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW1). 1–20. 6 indexed citations
4.
Kumar, Ranjitha, et al.. (2020). Artificial Intelligence for HCI: A Modern Approach. 1–8. 11 indexed citations
5.
Kumar, Ranjitha, et al.. (2020). Prediction of Job Openings in IT Sector using Long Short -Term Memory Model. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 1. 945–953. 1 indexed citations
6.
Geyer, Werner, Lydia B. Chilton, Ranjitha Kumar, & Adam Tauman Kalai. (2020). HAI-GEN 2020. 13–14. 3 indexed citations
7.
Talton, Jerry O., et al.. (2019). Opico: A Study of Emoji-first Communication in a Mobile Social App. 450–458. 17 indexed citations
8.
Kumar, Ranjitha. (2019). Data-Driven Design. 1–2. 2 indexed citations
9.
Yumer, Ersin, et al.. (2018). Learning Design Semantics for Mobile Apps. 569–579. 85 indexed citations
10.
Vaccaro, Kristen, et al.. (2018). Designing the Future of Personal Fashion. 1–11. 19 indexed citations
11.
Kumar, Ranjitha & Kristen Vaccaro. (2017). An experimentation engine for data-driven fashion systems. National Conference on Artificial Intelligence. 389–394. 5 indexed citations
12.
Deka, Biplab, et al.. (2017). Rico. 845–854. 267 indexed citations breakdown →
13.
Deka, Biplab, et al.. (2016). Accounting for Taste. 2383–2389. 1 indexed citations
14.
Vaccaro, Kristen, et al.. (2016). The Elements of Fashion Style. 777–785. 35 indexed citations
15.
Deka, Biplab, et al.. (2016). ERICA. 767–776. 64 indexed citations
16.
Chilana, Parmit K., Mary Czerwinski, Tovi Grossman, et al.. (2015). Technology Transfer of HCI Research Innovations. 823–828. 3 indexed citations
17.
Kumar, Ranjitha, Jerry O. Talton, Salman Ahmad, & Scott Klemmer. (2012). Data-driven web design. International Conference on Machine Learning. 3–4. 3 indexed citations
18.
Kumar, Ranjitha, Jerry O. Talton, Salman Ahmad, & Scott Klemmer. (2011). Bricolage. 2197–2206. 117 indexed citations
19.
Lee, Brian, et al.. (2010). Designing with interactive example galleries. 2257–2266. 122 indexed citations
20.
Kumar, Ranjitha, Juho Kim, & Scott Klemmer. (2009). Automatic retargeting of web page content. 4237–4242. 7 indexed citations

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.

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