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.
Urban sprawl: metrics, dynamics and modelling using GIS
2003554 citationsH. S. Sudhira, T. V. Ramachandra et al.International Journal of Applied Earth Observation and Geoinformationprofile →
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 H. S. Sudhira'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 H. S. Sudhira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. S. Sudhira more than expected).
This network shows the impact of papers produced by H. S. Sudhira. 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 H. S. Sudhira. The network helps show where H. S. Sudhira may publish in the future.
Co-authorship network of co-authors of H. S. Sudhira
This figure shows the co-authorship network connecting the top 25 collaborators of H. S. Sudhira.
A scholar is included among the top collaborators of H. S. Sudhira 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 H. S. Sudhira. H. S. Sudhira is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gururaja, KV & H. S. Sudhira. (2012). Population crunch in India: is it urban or still rural?. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).30 indexed citations
12.
Sudhira, H. S., et al.. (2012). An approach to regional planning in India. International Journal of System of Systems Engineering. 3(2). 117–117.4 indexed citations
13.
Sudhira, H. S.. (2008). Studies On Urban Sprawl And Spatial Planning Support System For Bangalore, India.4 indexed citations
14.
Sudhira, H. S. & T. V. Ramachandra. (2007). Characterising Urban Sprawl from Remote Sensing Data and Using Landscape Metrics. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 64(12). 715–7.39 indexed citations
15.
Sudhira, H. S., T. V. Ramachandra, & M.H. Bala Subrahmanya. (2007). Bangalore. Cities. 24(5). 379–390.116 indexed citations
16.
Sudhira, H. S., et al.. (2007). City Profile Bangalore. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).38 indexed citations
17.
Sudhira, H. S., et al.. (2007). Integrated Spatial Planning Support Systems for Managing Urban Sprawl. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).6 indexed citations
18.
Sudhira, H. S., T. V. Ramachandra, & K. S. Jagadish. (2003). Urban sprawl: metrics, dynamics and modelling using GIS. International Journal of Applied Earth Observation and Geoinformation. 5(1). 29–39.554 indexed citations breakdown →
19.
Sudhira, H. S., et al.. (2003). Urban Sprawl Pattern Analysis Using GIS. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore).9 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.