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.
On social networks and collaborative recommendation
Countries citing papers authored by Joemon M. Jose
Since
Specialization
Citations
This map shows the geographic impact of Joemon M. Jose'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 Joemon M. Jose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joemon M. Jose more than expected).
This network shows the impact of papers produced by Joemon M. Jose. 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 Joemon M. Jose. The network helps show where Joemon M. Jose may publish in the future.
Co-authorship network of co-authors of Joemon M. Jose
This figure shows the co-authorship network connecting the top 25 collaborators of Joemon M. Jose.
A scholar is included among the top collaborators of Joemon M. Jose 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 Joemon M. Jose. Joemon M. Jose is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jose, Joemon M., et al.. (2020). On Fairness and Interpretability. Research Portal (Queen's University Belfast).3 indexed citations
7.
Yuan, Fajie, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, & Xiangnan He. (2018). A Simple but Hard-to-Beat Baseline for Session-based Recommendations.. arXiv (Cornell University).4 indexed citations
8.
Yuan, Fajie, Xin Xin, Xiangnan He, et al.. (2018). f BGD : Learning Embeddings From Positive Unlabeled Data with BGD.. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 198–207.14 indexed citations
9.
Jose, Joemon M., et al.. (2013). University of Glasgow (UoG_TwTeam) at TREC Microblog 2013.. Text REtrieval Conference.4 indexed citations
10.
Zuccon, Guido, et al.. (2011). University of Glasgow (qirdcsuog) at TREC Crowdsourcing 2011: TurkRank-Network-based Worker Ranking in Crowdsourcing. QUT ePrints (Queensland University of Technology).1 indexed citations
11.
Zuccon, Guido, et al.. (2011). Crowdsourcing interactions: Capturing query sessions through crowdsourcing. QUT ePrints (Queensland University of Technology).3 indexed citations
12.
Hopfgartner, Frank & Joemon M. Jose. (2011). Development of a test collection for studying long-term user modelling.. eScholarship (California Digital Library). 221–227.1 indexed citations
13.
Moshfeghi, Yashar, Guido Zuccon, & Joemon M. Jose. (2011). Using emotion to diversify document rankings. QUT ePrints (Queensland University of Technology).
14.
Zuccon, Guido, et al.. (2009). The University of Glasgow at ImageClefPhoto 2009. QUT ePrints (Queensland University of Technology).1 indexed citations
15.
Cantador, Iván, David Vallet, & Joemon M. Jose. (2009). Measuring vertex centrality in co-occurrence graphs for online social tag recommendation. 17–33.6 indexed citations
16.
Jose, Joemon M., et al.. (2009). Temporal attention graph. European Signal Processing Conference. 1112–1116.1 indexed citations
17.
Jose, Joemon M., et al.. (2008). A hybrid approach for classification based multimedia retrieval. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).1 indexed citations
Jose, Joemon M., et al.. (2005). Formalising evaluation in information retrieval. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).1 indexed citations
20.
White, Ryen W., Joemon M. Jose, & Ian Ruthven. (2003). Using Top-Ranking Sentences for Web Search Result Presentation..1 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.