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.
Colossal Positive and Negative Thermal Expansion in the Framework Material Ag 3 [Co(CN) 6 ]
2008597 citationsAndrew L. Goodwin, M. Calleja et al.Scienceprofile →
The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks
2013580 citationsMohammed Iqbal Mead, Olalekan Popoola et al.Atmospheric Environmentprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of M. Calleja'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 M. Calleja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Calleja more than expected).
This network shows the impact of papers produced by M. Calleja. 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 M. Calleja. The network helps show where M. Calleja may publish in the future.
Co-authorship network of co-authors of M. Calleja
This figure shows the co-authorship network connecting the top 25 collaborators of M. Calleja.
A scholar is included among the top collaborators of M. Calleja 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 M. Calleja. M. Calleja 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.
Mead, Mohammed Iqbal, Olalekan Popoola, P. V. Landshoff, et al.. (2013). The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks. Atmospheric Environment. 70. 186–203.580 indexed citations breakdown →
Popoola, Olalekan, Mohammed Iqbal Mead, Gareth J. Stewart, et al.. (2010). Low-Cost Sensor Units for Measuring Urban Air Quality. AGUFM. 2010.4 indexed citations
Calleja, M., et al.. (2008). CamGrid: Experiences in constructing a university-wide, Condor-based grid at the University of Cambridge. Apollo (University of Cambridge).5 indexed citations
6.
Goodwin, Andrew L., M. Calleja, Martin T. Dove, et al.. (2008). Colossal Positive and Negative Thermal Expansion in the Framework Material Ag 3 [Co(CN) 6 ]. Science. 319(5864). 794–797.597 indexed citations breakdown →
Walker, Andrew, et al.. (2006). Simple Grid Access using the Business Process Execution Language. Department of Earth Sciences EPrints Repository.1 indexed citations
11.
Lewis, Gareth, et al.. (2005). Collaborative virtual environment for advanced computing. CentAUR (University of Reading). 24(1). 67–83.1 indexed citations
Calleja, M., S. Ballard, Gareth Lewis, et al.. (2004). Collaborative tools in support of the eMinerals Virtual Organization. UCL Discovery (University College London).2 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.