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.
Content-based image retrieval at the end of the early years
20003.9k citationsSimone Santini, Amarnath Gupta et al.profile →
<title>Virage image search engine: an open framework for image management</title>
1996505 citationsAmarnath Gupta, Ramesh Jain et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Amarnath Gupta
Since
Specialization
Citations
This map shows the geographic impact of Amarnath Gupta'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 Amarnath Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amarnath Gupta more than expected).
This network shows the impact of papers produced by Amarnath Gupta. 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 Amarnath Gupta. The network helps show where Amarnath Gupta may publish in the future.
Co-authorship network of co-authors of Amarnath Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Amarnath Gupta.
A scholar is included among the top collaborators of Amarnath Gupta 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 Amarnath Gupta. Amarnath Gupta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mohan, Tamilselvan, et al.. (2017). Sensing of electron withdrawing group (-NO2) in DNOC employing fluorescence of Camphorsulfonic acid doped Polyaniline (CSA-PANi) solution. International journal of advance research and innovative ideas in education. 3(4). 78–83.1 indexed citations
7.
Gupta, Amarnath & Rekha Gupta. (2015). Study Of Cold Chain Practices at Community Health Centers of Damoh District Of Madhya Pradesh. SHILAP Revista de lepidopterología.9 indexed citations
8.
Zaslavsky, Ilya, Luis Bermúdez, Jeffrey S. Grethe, et al.. (2014). CINERGI: Community Inventory of EarthCube Resources for Geoscience Interoperability. EGU General Assembly Conference Abstracts. 4792.1 indexed citations
9.
Jain, Ramesh, et al.. (2013). Building Social Life Networks.. IEEE Data(base) Engineering Bulletin. 36. 91–98.2 indexed citations
10.
Larson, Stephen, et al.. (2011). NIFSTD and NeuroLex: Comprehensive Neuroscience Ontology Development Based on Multiple Biomedical Ontologies and Community Involvement..5 indexed citations
11.
Larson, Stephen, Amarnath Gupta, William Bug, et al.. (2007). An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy..6 indexed citations
Moore, Reagan, Chaitan Baru, Arcot Rajasekar, et al.. (2000). Collection-Based Persistent Digital Archives-Part 2 [and] MyLibrary: Personalized Electronic Services in the Cornell University Library [and] Creating Accessible Digital Imagery.. D-Lib Magazine. 6(4).8 indexed citations
20.
Gupta, Amarnath, Terry E. Weymouth, & Ramesh Jain. (1991). Semantic Queries with Pictures: The VIMSYS Model. Very Large Data Bases. 69–79.67 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.