B. S. Manjunath

3.0k total citations
52 papers, 1.7k citations indexed

About

B. S. Manjunath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, B. S. Manjunath has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Molecular Biology. Recurrent topics in B. S. Manjunath's work include Advanced Image and Video Retrieval Techniques (14 papers), Cell Image Analysis Techniques (11 papers) and Image Retrieval and Classification Techniques (10 papers). B. S. Manjunath is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Cell Image Analysis Techniques (11 papers) and Image Retrieval and Classification Techniques (10 papers). B. S. Manjunath collaborates with scholars based in United States, United Kingdom and Italy. B. S. Manjunath's co-authors include Bogusław Obara, Д. В. Федоров, Kristian Kvilekval, Vijay Chickarmane, Alexandre Cunha, Adrienne Roeder, Elliot M. Meyerowitz, Sourav Banerjee, Hongjun Zhou and Aruna Jammalamadaka and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Nature Methods.

In The Last Decade

B. S. Manjunath

50 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. S. Manjunath United States 18 729 460 451 370 194 52 1.7k
D. Mark Eckley United States 23 1.6k 2.2× 285 0.6× 436 1.0× 223 0.6× 272 1.4× 32 2.9k
Liya Ding China 16 942 1.3× 487 1.1× 213 0.5× 60 0.2× 235 1.2× 76 2.3k
Takamasa Kudo United States 26 1.0k 1.4× 778 1.7× 210 0.5× 80 0.2× 390 2.0× 57 2.9k
Thomas Walter France 28 1.3k 1.8× 664 1.4× 1.0k 2.3× 86 0.2× 772 4.0× 79 3.7k
Qi Mao China 20 2.3k 3.1× 180 0.4× 238 0.5× 542 1.5× 221 1.1× 43 4.0k
Vebjorn Ljosa United States 13 832 1.1× 662 1.4× 114 0.3× 34 0.1× 111 0.6× 18 1.6k
Gloria Bueno Spain 25 298 0.4× 355 0.8× 1.2k 2.7× 113 0.3× 1.1k 5.6× 128 2.7k
Tim Becker Germany 15 913 1.3× 865 1.9× 365 0.8× 35 0.1× 372 1.9× 33 2.4k
Carsten Marr Germany 27 1.6k 2.2× 543 1.2× 341 0.8× 91 0.2× 386 2.0× 103 3.1k
Pengyu Hong United States 29 1.3k 1.7× 49 0.1× 433 1.0× 106 0.3× 272 1.4× 100 2.6k

Countries citing papers authored by B. S. Manjunath

Since Specialization
Citations

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

Fields of papers citing papers by B. S. Manjunath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. S. Manjunath. 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 B. S. Manjunath. The network helps show where B. S. Manjunath may publish in the future.

Co-authorship network of co-authors of B. S. Manjunath

This figure shows the co-authorship network connecting the top 25 collaborators of B. S. Manjunath. A scholar is included among the top collaborators of B. S. Manjunath 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 B. S. Manjunath. B. S. Manjunath 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.
Manjunath, B. S., et al.. (2024). Security establishment using deep convolutional network model in cyber-physical systems. Multimedia Tools and Applications. 83(31). 76201–76221. 2 indexed citations
2.
You, Suya, et al.. (2023). Gtnet: guided transformer network for detecting human-object interactions. 24–24. 6 indexed citations
3.
Goebel, Michael, et al.. (2022). Automatic classification and neurotransmitter prediction of synapses in electron microscopy. PubMed. 2. e6–e6. 1 indexed citations
4.
Flenner, Arjuna, et al.. (2019). Deep Learning Methods for Event Verification and Image Repurposing Detection. Electronic Imaging. 31(5). 530–1. 4 indexed citations
5.
Flenner, Arjuna, et al.. (2018). Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis. Electronic Imaging. 30(7). 212–1. 13 indexed citations
6.
Qiu, Hang, Xiaochen Liu, Swati Rallapalli, et al.. (2018). Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking. eScholarship (California Digital Library). 48–59. 28 indexed citations
7.
Ganti, Raghu, Mudhakar Srivatsa, & B. S. Manjunath. (2016). Entity reconciliation in a multi-camera network. 1–6. 1 indexed citations
8.
Kvilekval, Kristian, Д. В. Федоров, Steve Goff, et al.. (2012). Bisque: Advances in Bioimage Databases.. IEEE Data(base) Engineering Bulletin. 35. 56–64. 5 indexed citations
9.
Eliceiri, Kevin W., Michael R. Berthold, I. Goldberg, et al.. (2012). Biological imaging software tools. Nature Methods. 9(7). 697–710. 394 indexed citations
10.
Kiris, Erkan, Donovan Ventimiglia, Mehmet Emre Sargin, et al.. (2011). Combinatorial Tau Pseudophosphorylation. Journal of Biological Chemistry. 286(16). 14257–14270. 31 indexed citations
11.
Lee, Eun Joo, Sourav Banerjee, Hongjun Zhou, et al.. (2011). Identification of piRNAs in the central nervous system. RNA. 17(6). 1090–1099. 228 indexed citations
12.
Karthikeyan, S., et al.. (2011). Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition. 1282–1286. 10 indexed citations
13.
Roeder, Adrienne, Vijay Chickarmane, Alexandre Cunha, et al.. (2010). Variability in the Control of Cell Division Underlies Sepal Epidermal Patterning in Arabidopsis thaliana. PLoS Biology. 8(5). e1000367–e1000367. 223 indexed citations
14.
Jagadeesh, Vignesh, S. Karthikeyan, & B. S. Manjunath. (2010). Spatio-temporal optical flow statistics (STOFS) for activity classification. 178–182. 4 indexed citations
15.
Karthikeyan, S., et al.. (2010). Anatomical parts-based regression using non-negative matrix factorization. PubMed. 7. 2863–2870. 7 indexed citations
16.
Sargin, Mehmet Emre, Nichole E. LaPointe, Kenneth Rose, et al.. (2010). Tau isoform‐specific modulation of kinesin‐driven microtubule gliding rates and trajectories as determined with tau‐stabilized microtubules. Cytoskeleton. 68(1). 44–55. 27 indexed citations
17.
Gelasca, Elisa Drelie, Bogusław Obara, Д. В. Федоров, Kristian Kvilekval, & B. S. Manjunath. (2009). A biosegmentation benchmark for evaluation of bioimage analysis methods. BMC Bioinformatics. 10(1). 368–368. 66 indexed citations
18.
Gelasca, Elisa Drelie, et al.. (2007). UThe Vision Research Lab of UCSB at TRECVID 2007.. TRECVID. 1 indexed citations
19.
Singh, Ambuj K., B. S. Manjunath, & Robert F. Murphy. (2004). A distributed database for bio-molecular images. ACM SIGMOD Record. 33(2). 65–71. 10 indexed citations
20.
Manjunath, B. S., et al.. (2003). Subset selection for active object recognition. 511–516. 23 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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