Ranjitha S. Kumar

2.0k citations
39 papers · 1.4k · 1 hit paper · h-index 15

Impact in

Papers in

Journals
Proceedings of the ACM on Human-Computer Interaction (2 papers)Lecture notes in computer science (2 papers)Learning and analytics in intelligent systems (1 paper)National Conference on Artificial Intelligence (1 paper)2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (1 paper)
Partner nations
United StatesIndiaCanada

In The Last Decade

Ranjitha S. Kumar

36 papers receiving 1.4k citations

Ranjitha S. Kumar's Hit Papers

Rico 2017 · 344 citations
3440+3+6Years since publication100200300

Peers

Ranjitha S. Kumar
Comparison fields: 5 of 81
  • Human-Computer Interaction 370
  • Computer Vision and Pattern Recognition 669
  • Computer Science Applications 149
  • Computer Graphics and Computer-Aided Design 91
  • Software 89
Replace James Eagan with:
James Eagan France
Olga De Troyer Belgium
David Kurlander United States
Dick C. A. Bulterman Netherlands
David Maulsby Canada
Bill Manaris United States
Haijun Xia United States
Kari‐Jouko Räihä Finland
Polle T. Zellweger United States
Moira C. Norrie Switzerland
Ranjitha S. Kumar relative to James Eagan France James Eagan's profile →
Citations per field
00.5×1.5×2.0×
James Eagan · 1×
Citations per year

Countries citing papers authored by Ranjitha S. Kumar

Since Specialization
Citations

This map shows the geographic impact of Ranjitha S. 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 S. 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 S. Kumar more than expected).

Fields of papers citing papers by Ranjitha S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranjitha S. 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 S. Kumar. The network helps show where Ranjitha S. Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Ranjitha S. Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ranjitha S. Kumar Line = papers co-authored together Ranjitha S. Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rico
Hit paper breakdown →
2017344
2 2018163
3 2010149
4 2011134
5 2013115
6 2018113
7 201291
8 201679
9 201641
10 201729
11 202026
12 201824
13 202223
14 201920
15 202219
16
Flexible Tree Matching
201110
17 20099
18 20219
19 20217
20 20155

About Ranjitha S. Kumar

Ranjitha S. Kumar is a scholar working on Computer Science Applications, Human-Computer Interaction, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (8 papers), Web Data Mining and Analysis (8 papers), Innovative Human-Technology Interaction (7 papers), Data Visualization and Analytics (5 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), Multimedia Communication and Technology (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Human-Computer Interaction (370 citations), Computer Vision and Pattern Recognition (669 citations), Computer Science Applications (149 citations), Computer Graphics and Computer-Aided Design (91 citations) and Software (89 citations). Ranjitha S. Kumar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Scott R. Klemmer, Biplab Deka, Jerry O. Talton, Salman Ahmad, Jeffrey W. Nichols, Yang Li, Daniel Afergan, Radomír Měch, Bryan A. Plummer and Ronen I. Brafman. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Lecture notes in computer science, Learning and analytics in intelligent systems, 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.

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