Krishna Chaitanya

1.1k total citations · 1 hit paper
28 papers, 381 citations indexed

About

Krishna Chaitanya is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Krishna Chaitanya has authored 28 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Sociology and Political Science and 3 papers in Computer Networks and Communications. Recurrent topics in Krishna Chaitanya's work include Domain Adaptation and Few-Shot Learning (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Neural Network Applications (2 papers). Krishna Chaitanya is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Neural Network Applications (2 papers). Krishna Chaitanya collaborates with scholars based in India, Switzerland and United States. Krishna Chaitanya's co-authors include Ender Konukoğlu, Ertunç Erdil, Neerav Karani, Christoph Stadtfeld, Timon Elmer, Khoschy Schawkat, Urs J. Muehlematter, Andreas M. Hötker, Olivio F. Donati and Anton S. Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medical Image Analysis and Progress in Photovoltaics Research and Applications.

In The Last Decade

Krishna Chaitanya

23 papers receiving 365 citations

Hit Papers

Local contrastive loss with pseudo-label based self-train... 2023 2026 2024 2023 25 50 75 100
What are hit papers?

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.

  1. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
    2023 112 citations Krishna Chaitanya, Ertunç Erdil et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Krishna Chaitanya India 8 161 140 118 54 34 28 381
Amer Malki Saudi Arabia 11 61 0.4× 150 1.1× 88 0.7× 22 0.4× 35 1.0× 19 350
José Marquês Soares Brazil 9 90 0.6× 71 0.5× 155 1.3× 41 0.8× 13 0.4× 30 427
Zheng Gu China 11 151 0.9× 77 0.6× 93 0.8× 40 0.7× 9 0.3× 43 427
Sara Colantonio Italy 12 161 1.0× 97 0.7× 121 1.0× 64 1.2× 14 0.4× 75 508
Rahul Sharma India 9 56 0.3× 127 0.9× 146 1.2× 23 0.4× 21 0.6× 22 507
Javier Civit-Masot Spain 12 156 1.0× 195 1.4× 263 2.2× 47 0.9× 32 0.9× 22 515
Mukti E. Jadhav India 11 132 0.8× 256 1.8× 146 1.2× 44 0.8× 126 3.7× 26 653
Ahmed Atwan Egypt 12 177 1.1× 104 0.7× 159 1.3× 55 1.0× 69 2.0× 42 492
Jinxin Yang China 12 78 0.5× 89 0.6× 52 0.4× 40 0.7× 11 0.3× 30 458
S.L. Lou United States 8 209 1.3× 194 1.4× 186 1.6× 36 0.7× 35 1.0× 14 480

Countries citing papers authored by Krishna Chaitanya

Since Specialization
Citations

This map shows the geographic impact of Krishna Chaitanya'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 Krishna Chaitanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Chaitanya more than expected).

Fields of papers citing papers by Krishna Chaitanya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna Chaitanya. 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 Krishna Chaitanya. The network helps show where Krishna Chaitanya may publish in the future.

Co-authorship network of co-authors of Krishna Chaitanya

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Chaitanya. A scholar is included among the top collaborators of Krishna Chaitanya 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 Krishna Chaitanya. Krishna Chaitanya 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.
Chaitanya, Krishna, et al.. (2024). Creeping suprapubic catheter site growth-a unique presentation in a case of carcinoma prostate. International Journal of Research in Medical Sciences. 12(7). 2621–2624. 1 indexed citations
2.
Chaitanya, Krishna. (2024). A History of Arabic Literature. Medical Entomology and Zoology.
3.
Kulkarni, Anand V., et al.. (2023). Human albumin infusion is safe and effective even in patients without acute kidney injury and spontaneous bacterial peritonitis. Indian Journal of Gastroenterology. 43(2). 485–493. 3 indexed citations
4.
Chaitanya, Krishna, Ertunç Erdil, Neerav Karani, & Ender Konukoğlu. (2023). Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. Medical Image Analysis. 87. 102792–102792. 112 indexed citations breakdown →
5.
Karani, Neerav, Ertunç Erdil, Krishna Chaitanya, & Ender Konukoğlu. (2020). Test-time adaptable neural networks for robust medical image segmentation. Medical Image Analysis. 68. 101907–101907. 103 indexed citations
6.
Elmer, Timon, et al.. (2019). The validity of RFID badges measuring face-to-face interactions. Repository for Publications and Research Data (ETH Zurich). 28 indexed citations
7.
Chaitanya, Krishna, et al.. (2017). Role of social support in tobacco cessation. International Journal of Community Medicine and Public Health. 4(11). 3942–3942. 6 indexed citations
8.
9.
Chaitanya, Krishna, et al.. (2015). Subarachnoid Hemorrhage with Cerebral Salt Wasting Leading to Cerebral Ischemia. 1 indexed citations
10.
Chaitanya, Krishna, et al.. (2015). An IoT Protocol and Framework for OEMs to Make IoT-Enabled Devices forward Compatible. 824–832. 3 indexed citations
11.
Ramasamy, Sridhar, S. Jeevananthan, Subhransu Sekhar Dash, & Krishna Chaitanya. (2015). A dodging algorithm to reconfigure photovoltaic array to negate partial shading effect. Progress in Photovoltaics Research and Applications. 24(2). 200–210. 21 indexed citations
12.
Chaitanya, Krishna, et al.. (2013). Support vector regression with digital band pass filtering for the quantitative analysis of near‐infrared spectra. Journal of Chemometrics. 28(2). 116–122. 9 indexed citations
13.
Chaitanya, Krishna, et al.. (2012). In vitro evaluation of the effect of deproteinization on the marginal leakage of resin restorations using three bonding agents. SHILAP Revista de lepidopterología. 5 indexed citations
14.
Rajasekhar, C., et al.. (2011). Autonomous Extraction of LPI Signals Using Time-Frequency Techniques. Digital Signal Processing. 3(8). 411–414. 1 indexed citations
15.
Chaitanya, Krishna, et al.. (2009). Performance Analysis of an Efficient TCP Variant under Lossy Environments. 103. 657–660. 4 indexed citations
16.
Chaitanya, Krishna. (2006). Evaluating Fiscal Performance Of Andhra Pradesh Using Composite Index Model. RePEc: Research Papers in Economics. 54–66. 3 indexed citations
17.
Chaitanya, Krishna. (1978). The sociology of freedom.
18.
Chaitanya, Krishna. (1972). Asian Theatre. Modern Drama. 14(4). 455–462.
19.
Chaitanya, Krishna. (1971). A History Of Malayalam Literature. 11 indexed citations
20.
Chaitanya, Krishna, et al.. (1963). A New History of Sanskrit Literature.. Pacific Affairs. 36(3). 333–333. 7 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.

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