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.
Countries citing papers authored by Rangachar Kasturi
Since
Specialization
Citations
This map shows the geographic impact of Rangachar Kasturi'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 Rangachar Kasturi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangachar Kasturi more than expected).
Fields of papers citing papers by Rangachar Kasturi
This network shows the impact of papers produced by Rangachar Kasturi. 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 Rangachar Kasturi. The network helps show where Rangachar Kasturi may publish in the future.
Co-authorship network of co-authors of Rangachar Kasturi
This figure shows the co-authorship network connecting the top 25 collaborators of Rangachar Kasturi.
A scholar is included among the top collaborators of Rangachar Kasturi 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 Rangachar Kasturi. Rangachar Kasturi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tombre, Karl, Atul K. Chhabra, R.M. Haralick, et al.. (1998). Graphics recognition - algorithms and systems - general conclusions. Lecture notes in computer science.7 indexed citations
12.
O’Gorman, Lawrence & Rangachar Kasturi. (1997). Executive briefing : document image analysis. IEEE Computer Society Press eBooks.11 indexed citations
Kasturi, Rangachar, et al.. (1995). A robust algorithm for text string separation from mixed text/graphics images. IEEE Computer Society Press eBooks. 435–443.2 indexed citations
O’Gorman, Lawrence & Rangachar Kasturi. (1992). Document Image Analysis Systems - Guest Editors' Introduction to the Special Issue.. Computer. 25. 5–8.45 indexed citations
17.
Kasturi, Rangachar, et al.. (1990). Techniques for Line Drawing Interpretation: An Overview. 151–160.15 indexed citations
18.
Kasturi, Rangachar, et al.. (1988). Query Processing for Information Extraction from Image of Paper-Based Maps.. 991–1000.1 indexed citations
19.
Kasturi, Rangachar, et al.. (1986). Recognition Of Lines And Symbols In Maps. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 638. 117–117.1 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.