Vijay Garla

583 total citations
11 papers, 422 citations indexed

About

Vijay Garla is a scholar working on Molecular Biology, Artificial Intelligence and Pollution. According to data from OpenAlex, Vijay Garla has authored 11 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 1 paper in Pollution. Recurrent topics in Vijay Garla's work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Vijay Garla is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (4 papers). Vijay Garla collaborates with scholars based in United States, Sweden and Germany. Vijay Garla's co-authors include Cynthia Brandt, Caroline Taylor, Matthew Scotch, Vincent Lo Re, Z. Dorey-Stein, Julie A. Womack, Amy C. Justice, Michal G. Rose, George Tellides and Xiaopan Yao and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Molecular Microbiology.

In The Last Decade

Vijay Garla

11 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vijay Garla United States	9	245	199	46	45	44	11	422
Scott Halgrim United States	8	220 0.9×	190 1.0×	55 1.2×	31 0.7×	50 1.1×	10	356
Sicheng Zhou United States	9	121 0.5×	74 0.4×	43 0.9×	30 0.7×	47 1.1×	41	328
Vinod C. Kaggal United States	10	127 0.5×	86 0.4×	56 1.2×	31 0.7×	35 0.8×	21	307
Lisa Bastarache United States	10	117 0.5×	151 0.8×	58 1.3×	20 0.4×	23 0.5×	23	323
K. E. Ravikumar United States	11	263 1.1×	362 1.8×	30 0.7×	22 0.5×	16 0.4×	14	505
Wen-wai Yim United States	7	214 0.9×	129 0.6×	54 1.2×	32 0.7×	76 1.7×	13	339
Mogana Darshini Ganggayah Malaysia	7	186 0.8×	62 0.3×	69 1.5×	26 0.6×	121 2.8×	14	340
Arturo López Pineda United States	8	129 0.5×	82 0.4×	43 0.9×	27 0.6×	57 1.3×	16	366
Mahdieh Montazeri Iran	7	106 0.4×	46 0.2×	48 1.0×	21 0.5×	81 1.8×	25	293

Countries citing papers authored by Vijay Garla

Since Specialization

Citations

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

Fields of papers citing papers by Vijay Garla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay Garla

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

All Works

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11 of 11 papers shown

Akgün, Kathleen M., Cynthia Brandt, Brenda T. Fenton, et al.. (2018). Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer. JCO Clinical Cancer Informatics. 2(2). 1–7. 16 indexed citations

Jacobson, Therese, Vijay Garla, Clara Navarrete, et al.. (2014). Mathematical modelling of arsenic transport, distribution and detoxification processes in yeast. Molecular Microbiology. 92(6). 1343–1356. 15 indexed citations

Garla, Vijay, Caroline Taylor, & Cynthia Brandt. (2013). Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management. Journal of Biomedical Informatics. 46(5). 869–875. 70 indexed citations

Yao, Xiaopan, Hilary Cain, Bryan Chang, et al.. (2013). The Effect of a Lung Cancer Care Coordination Program on Timeliness of Care. Clinical Lung Cancer. 14(5). 527–534. 56 indexed citations

Garla, Vijay & Cynthia Brandt. (2012). Ontology-guided feature engineering for clinical text classification. Journal of Biomedical Informatics. 45(5). 992–998. 76 indexed citations

Garla, Vijay & Cynthia Brandt. (2012). Knowledge-based biomedical word sense disambiguation: an evaluation and application to clinical document classification. Journal of the American Medical Informatics Association. 20(5). 882–886. 29 indexed citations

Garla, Vijay & Cynthia Brandt. (2012). Semantic similarity in the biomedical domain: an evaluation across knowledge sources. BMC Bioinformatics. 13(1). 261–261. 63 indexed citations

Taddei, Tamar H., et al.. (2012). EMR-linked cancer tracker facilitates lung and liver cancer care.. Journal of Clinical Oncology. 30(34_suppl). 77–77. 4 indexed citations

Garla, Vijay & Cynthia Brandt. (2012). Knowledge-Based Biomedical Word Sense Disambiguation: An Evaluation and Application to Clinical Document Classification. 2011. 22–22. 8 indexed citations

10.

Garla, Vijay, Vincent Lo Re, Z. Dorey-Stein, et al.. (2011). The Yale cTAKES extensions for document classification: architecture and application. Journal of the American Medical Informatics Association. 18(5). 614–620. 80 indexed citations

11.

Garla, Vijay, Yong Kong, Sebastian Szpakowski, & Michael Krauthammer. (2010). MU2A—reconciling the genome and transcriptome to determine the effects of base substitutions. Bioinformatics. 27(3). 416–418. 5 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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