Ramesh Sankaranarayana

624 total citations
33 papers, 374 citations indexed

About

Ramesh Sankaranarayana is a scholar working on Information Systems, Computer Science Applications and Sociology and Political Science. According to data from OpenAlex, Ramesh Sankaranarayana has authored 33 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 6 papers in Computer Science Applications and 5 papers in Sociology and Political Science. Recurrent topics in Ramesh Sankaranarayana's work include Web Data Mining and Analysis (9 papers), Information Retrieval and Search Behavior (6 papers) and Spam and Phishing Detection (5 papers). Ramesh Sankaranarayana is often cited by papers focused on Web Data Mining and Analysis (9 papers), Information Retrieval and Search Behavior (6 papers) and Spam and Phishing Detection (5 papers). Ramesh Sankaranarayana collaborates with scholars based in Australia, United States and United Kingdom. Ramesh Sankaranarayana's co-authors include Tom Gedeon, Lorna Stewart, Paul Thomas, Jaewon Kim, Hwan‐Jin Yoon, Shayne Flint, David Hawking, Kaihao Zhang, Wenhan Luo and Zhifeng Wang and has published in prestigious journals such as Neurocomputing, Journal of the Association for Information Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Ramesh Sankaranarayana

31 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Sankaranarayana Australia 11 136 67 58 57 57 33 374
Pernilla Qvarfordt United States 11 220 1.6× 89 1.3× 47 0.8× 119 2.1× 29 0.5× 29 574
Carol C. Lochbaum United States 9 185 1.4× 89 1.3× 52 0.9× 148 2.6× 18 0.3× 11 442
Angelo Di Iorio Italy 11 163 1.2× 47 0.7× 28 0.5× 241 4.2× 14 0.2× 69 463
James H. Coombs United States 6 145 1.1× 46 0.7× 109 1.9× 190 3.3× 30 0.5× 9 459
Patrik Floréen Finland 15 129 0.9× 52 0.8× 34 0.6× 165 2.9× 65 1.1× 44 605
Joel R. Remde United States 6 177 1.3× 95 1.4× 57 1.0× 140 2.5× 9 0.2× 7 392
Larry Koved United States 10 251 1.8× 37 0.6× 90 1.6× 177 3.1× 22 0.4× 27 425
J. Alfredo Sánchez Mexico 11 126 0.9× 51 0.8× 66 1.1× 165 2.9× 4 0.1× 95 484
Paulo Barthelmess United States 11 205 1.5× 37 0.6× 145 2.5× 168 2.9× 8 0.1× 25 426

Countries citing papers authored by Ramesh Sankaranarayana

Since Specialization
Citations

This map shows the geographic impact of Ramesh Sankaranarayana'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 Ramesh Sankaranarayana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Sankaranarayana more than expected).

Fields of papers citing papers by Ramesh Sankaranarayana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh Sankaranarayana. 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 Ramesh Sankaranarayana. The network helps show where Ramesh Sankaranarayana may publish in the future.

Co-authorship network of co-authors of Ramesh Sankaranarayana

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Sankaranarayana. A scholar is included among the top collaborators of Ramesh Sankaranarayana 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 Ramesh Sankaranarayana. Ramesh Sankaranarayana 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.
Wang, Zhifeng, Qixuan Zhang, Peter Zhang, et al.. (2025). Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12355–12368.
2.
Wang, Zhifeng, Kaihao Zhang, Wenhan Luo, & Ramesh Sankaranarayana. (2024). HTNet for micro-expression recognition. Neurocomputing. 602. 128196–128196. 35 indexed citations
3.
Wang, Zhifeng, Kaihao Zhang, & Ramesh Sankaranarayana. (2024). Lrdif: Diffusion Models For Under-Display Camera Emotion Recognition. ANU Open Research (Australian National University). 2048–2054. 4 indexed citations
4.
Wang, Zhifeng, Kaihao Zhang, & Ramesh Sankaranarayana. (2024). DM-HAP: Diffusion model for accurate hand pose prediction. Neurocomputing. 611. 128681–128681. 1 indexed citations
5.
Wang, Zhifeng, Kaihao Zhang, Wenhan Luo, & Ramesh Sankaranarayana. (2023). Htnet for Micro-Expression Recognition. SSRN Electronic Journal. 7 indexed citations
6.
Hossain, Md Zakir, Tom Gedeon, & Ramesh Sankaranarayana. (2018). Using Temporal Features of Observers’ Physiological Measures to Distinguish Between Genuine and Fake Smiles. IEEE Transactions on Affective Computing. 11(1). 163–173. 16 indexed citations
7.
Awasthy, Richa, Shayne Flint, & Ramesh Sankaranarayana. (2017). Lifting the constraints — Closing the skills gap with authentic student projects. ANU Open Research (Australian National University). 955–960. 2 indexed citations
8.
Hossain, Md Zakir, Tom Gedeon, & Ramesh Sankaranarayana. (2016). Observer's Galvanic Skin Response for Discriminating Real from Fake Smiles. Journal of the Association for Information Systems. 11 indexed citations
9.
Yamin, Mohammad, et al.. (2016). M-learning preferences and learning preferences. ANU Open Research (Australian National University). 1363–1367. 1 indexed citations
10.
Gedeon, Tom, et al.. (2016). Big 5 personality traits affect m-learning preferences in different contexts and cultures. International Conference on Computing for Sustainable Global Development. 1378–1382. 2 indexed citations
11.
Kim, Jaewon, Paul Thomas, Ramesh Sankaranarayana, Tom Gedeon, & Hwan‐Jin Yoon. (2016). Pagination versus Scrolling in Mobile Web Search. ANU Open Research (Australian National University). 751–760. 14 indexed citations
12.
Kim, Jaewon, Paul Thomas, Ramesh Sankaranarayana, Tom Gedeon, & Hwan‐Jin Yoon. (2015). Understanding eye movements on mobile devices for better presentation of search results. Journal of the Association for Information Science and Technology. 67(11). 2607–2619. 22 indexed citations
13.
Kim, Jaewon, Paul Thomas, Ramesh Sankaranarayana, & Tom Gedeon. (2012). Comparing scanning behaviour in web search on small and large screens. ANU Open Research (Australian National University). 25–30. 13 indexed citations
14.
Jones, Timothy W., David Hawking, Paul Thomas, & Ramesh Sankaranarayana. (2011). Relative effect of spam and irrelevant documents on user interaction with search engines. ANU Open Research (Australian National University). 2113–2116. 5 indexed citations
15.
Jones, Timothy W., David Hawking, & Ramesh Sankaranarayana. (2010). Live web search experiments for the rest of us. ANU Open Research (Australian National University). 1265–1268. 1 indexed citations
16.
Jones, Timothy W., David Hawking, & Ramesh Sankaranarayana. (2007). A Framework for Measuring the Impact of Web Spam. ANU Open Research (Australian National University). 5 indexed citations
17.
Hawking, David, et al.. (2004). Focused crawling in depression portal search: A feasibility study. ANU Open Research (Australian National University). 1–9. 8 indexed citations
18.
Wu, Chuan-Kun & Ramesh Sankaranarayana. (2003). Internet voting: concerns and solutions. 261–266. 10 indexed citations
19.
Sankaranarayana, Ramesh, et al.. (2003). DESIGNING A DISTRIBUTED JVM ON A CLUSTER. ANU Open Research (Australian National University). 6 indexed citations
20.
Sankaranarayana, Ramesh & Lorna Stewart. (1992). Complexity results for well‐covered graphs. Networks. 22(3). 247–262. 55 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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