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.
EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets
2012346 citationsM. J. Brodzik, T. M. Haran et al.ISPRS International Journal of Geo-Informationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of M. J. Brodzik'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. J. Brodzik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Brodzik more than expected).
This network shows the impact of papers produced by M. J. Brodzik. 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. J. Brodzik. The network helps show where M. J. Brodzik may publish in the future.
Co-authorship network of co-authors of M. J. Brodzik
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Brodzik.
A scholar is included among the top collaborators of M. J. Brodzik 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. J. Brodzik. M. J. Brodzik is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Armstrong, R. L., M. J. Brodzik, A. P. Barrett, et al.. (2017). Improving Understanding of Glacier Melt Contribution to High Asian River Discharge through Collaboration and Capacity Building with High Asian CHARIS Partner Institutions. EGU General Assembly Conference Abstracts. 11240.1 indexed citations
Rittger, Karl, M. J. Brodzik, T. H. Painter, et al.. (2016). Trends in annual minimum exposed snow and ice cover in High Mountain Asia from MODIS. EGUGA.2 indexed citations
11.
Racoviteanu, Adina, Karl Rittger, M. J. Brodzik, T. H. Painter, & R. L. Armstrong. (2016). Fluctuating snow line altitudes in the Hunza basin (Karakoram) using Landsat OLI imagery. EGUGA.1 indexed citations
12.
Armstrong, R. L., A. P. Barrett, M. J. Brodzik, et al.. (2012). Establishing a collaborative effort to assess the role of glaciers and seasonal snow cover in the hydrology of the mountains of High Asia. AGUFM. 2012.1 indexed citations
13.
Brodzik, M. J., et al.. (2012). EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets. ISPRS International Journal of Geo-Information. 1(1). 32–45.346 indexed citations breakdown →
14.
Yang, Dongfang, Yang Zhao, R. L. Armstrong, David Robinson, & M. J. Brodzik. (2007). Streamflow response to seasonal snow cover changes over large Siberian watersheds. AGUFM. 2007.1 indexed citations
15.
Brodzik, M. J., R. L. Armstrong, K. Knowles, & M. H. Savoie. (2005). The Effect of Sensor Differences in Deriving Long-Term Trends from Satellite Passive Microwave Snow Extent and Snow Water Equivalent. AGU Fall Meeting Abstracts. 2005.1 indexed citations
16.
Armstrong, R. L., M. J. Brodzik, M. H. Savoie, & K. Knowles. (2003). Enhanced hemispheric-scale snow mapping through the blending of optical and microwave satellite data. EGS - AGU - EUG Joint Assembly. 12824.4 indexed citations
Brodzik, M. J. & R. L. Armstrong. (2002). Northern Hemisphere Snow Extent Trends Derived From Visible and Microwave Satellite Data. AGUFM. 2002.1 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.