Umesh Adiga

461 total citations
8 papers, 338 citations indexed

About

Umesh Adiga is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Umesh Adiga has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biophysics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Umesh Adiga's work include Cell Image Analysis Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and AI in cancer detection (3 papers). Umesh Adiga is often cited by papers focused on Cell Image Analysis Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and AI in cancer detection (3 papers). Umesh Adiga collaborates with scholars based in United States, India and Germany. Umesh Adiga's co-authors include John F. Guzowski, Badrinath Roysam, Gang Lin, Carol A. Barnes, Kathy Olson, Rodrigo Fernández‐González, Carlos Ortíz-de-Solórzano, R. Malladi, Charles Yang and Esmond Ng and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering and Journal of Structural Biology.

In The Last Decade

Umesh Adiga

7 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umesh Adiga United States	5	195	139	88	84	60	8	338
Michael Majurski United States	8	161 0.8×	112 0.8×	50 0.6×	92 1.1×	83 1.4×	19	351
Ronald Gao United States	2	317 1.6×	94 0.7×	47 0.5×	64 0.8×	165 2.8×	5	545
Estibaliz Gómez‐de‐Mariscal Portugal	9	175 0.9×	27 0.2×	32 0.4×	110 1.3×	69 1.1×	13	358
Kristian Kvilekval United States	4	103 0.5×	60 0.4×	58 0.7×	81 1.0×	23 0.4×	7	232
Jesse Berent United Kingdom	8	60 0.3×	254 1.8×	35 0.4×	62 0.7×	131 2.2×	14	501
Dmitry V. Sorokin Russia	10	116 0.6×	79 0.6×	35 0.4×	132 1.6×	40 0.7×	43	298
Chang Qiao China	9	341 1.7×	89 0.6×	31 0.4×	53 0.6×	177 3.0×	13	564
Luhong Jin China	8	267 1.4×	47 0.3×	25 0.3×	68 0.8×	90 1.5×	24	436
Nabeel Khalid Germany	4	113 0.6×	53 0.4×	55 0.6×	56 0.7×	60 1.0×	8	196
Marko Tscherepanow Germany	7	162 0.8×	127 0.9×	44 0.5×	74 0.9×	38 0.6×	16	355

Countries citing papers authored by Umesh Adiga

Since Specialization

Citations

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

Fields of papers citing papers by Umesh Adiga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umesh Adiga

This figure shows the co-authorship network connecting the top 25 collaborators of Umesh Adiga. A scholar is included among the top collaborators of Umesh Adiga 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 Umesh Adiga. Umesh Adiga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Clarke, James, et al.. (2019). Gas enhanced PFIB surface preparation enabled metrology and statistical analysis of 3D NAND devices. 17–17. 1 indexed citations

2.

Adiga, Umesh, et al.. (2012). Mapping Infected Cell Phenotype. IEEE Transactions on Biomedical Engineering. 59(8). 2362–2371. 2 indexed citations

3.

Adiga, Umesh, et al.. (2011). Automated Analysis and Classification of Infected Macrophages Using Bright-Field Amplitude Contrast Data. SLAS DISCOVERY. 17(3). 401–408. 5 indexed citations

4.

Adiga, Umesh, et al.. (2011). CHARACTERIZATION AND AUTOMATIC COUNTING OF F.I.S.H. SIGNALS IN 3-D TISSUE IMAGES. Image Analysis & Stereology. 20(1). 41–41.

5.

Yang, Charles, et al.. (2009). Estimating contrast transfer function and associated parameters by constrained non‐linear optimization. Journal of Microscopy. 233(3). 391–403. 28 indexed citations

6.

Adiga, Umesh, R. Malladi, Rodrigo Fernández‐González, & Carlos Ortíz-de-Solórzano. (2006). High-throughput analysis of multispectral images of breast cancer tissue. IEEE Transactions on Image Processing. 15(8). 2259–2268. 45 indexed citations

7.

Adiga, Umesh, William T. Baxter, Richard J. Hall, et al.. (2005). Particle picking by segmentation: A comparative study with SPIDER-based manual particle picking. Journal of Structural Biology. 152(3). 211–220. 23 indexed citations

8.

Lin, Gang, Umesh Adiga, Kathy Olson, et al.. (2003). A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks. Cytometry Part A. 56A(1). 23–36. 234 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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