Gautam B. Singh

481 total citations
41 papers, 292 citations indexed

About

Gautam B. Singh is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gautam B. Singh has authored 41 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gautam B. Singh's work include Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Gautam B. Singh is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Gautam B. Singh collaborates with scholars based in United States, India and United Kingdom. Gautam B. Singh's co-authors include Stephen A. Krawetz, Jana Košecká, J.J. Guerrero, Ana C. Murillo, Jeffrey A. Kramer, Mark D. Adams, Norman A. Doggett, Sébastien George, Manpreet Kaur and Abhijit Nagchaudhuri and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Robotics and Genomics.

In The Last Decade

Gautam B. Singh

38 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gautam B. Singh United States	9	111	92	83	30	23	41	292
Xiaozhi Gao Finland	6	65 0.6×	35 0.4×	69 0.8×	13 0.4×	27 1.2×	14	249
Lei Dou China	10	37 0.3×	88 1.0×	163 2.0×	36 1.2×	21 0.9×	53	398
Jian Peng China	9	90 0.8×	19 0.2×	119 1.4×	23 0.8×	65 2.8×	34	347
A.W.G. Duller United Kingdom	9	90 0.8×	53 0.6×	20 0.2×	34 1.1×	50 2.2×	30	358
Yusheng Xu China	6	85 0.8×	52 0.6×	25 0.3×	27 0.9×	46 2.0×	19	295
Xuan Xie China	11	27 0.2×	26 0.3×	38 0.5×	31 1.0×	36 1.6×	36	345
Shuailin Li United Kingdom	8	226 2.0×	102 1.1×	177 2.1×	8 0.3×	32 1.4×	21	496
Shanxin Zhang China	10	45 0.4×	37 0.4×	72 0.9×	28 0.9×	33 1.4×	37	263
Liang Xia China	11	44 0.4×	57 0.6×	35 0.4×	203 6.8×	12 0.5×	37	553

Countries citing papers authored by Gautam B. Singh

Since Specialization

Citations

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

Fields of papers citing papers by Gautam B. Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gautam B. Singh

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

All Works

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20 of 20 papers shown

Dasgupta, Gargi, et al.. (2018). Semantic Parsing for Technical Support Questions. International Conference on Computational Linguistics. 3251–3259. 4 indexed citations

Singh, Gautam B., et al.. (2017). Neev: A cognitive support agent for content improvement in hardware tickets. 239–246. 2 indexed citations

Singh, Gautam B., et al.. (2017). Classification by Clustering: Saliva MS-SELDI Data for Alzheimer's Disease Diagnosis. 92–97. 2 indexed citations

Singh, Gautam B., et al.. (2013). Corporate responsibility for the U.S. Air Navigation Service Provider: A decision support tool to reduce CO<inf>2</inf> emissions from en-route flights. 34. 31–36. 1 indexed citations

Tzoukermann, Evelyne, Jan Neumann, Jana Košecká, et al.. (2011). Language models for semantic extraction and filtering in video action recognition. 8–13. 2 indexed citations

Singh, Gautam B.. (2010). Visual Loop Closing using Gist Descriptors in Manhattan World. 37 indexed citations

Singh, Gautam B., et al.. (2010). Comparison of Hidden Markov Models and Support Vector Machines for vehicle crash detection. 39. 1–6. 3 indexed citations

Hansen, Christine, et al.. (2008). Component-Based Approach for Educating Students in Bioinformatics. IEEE Transactions on Education. 52(1). 1–9. 2 indexed citations

Singh, Gautam B. & Harkirat Singh. (2005). Functional proteomics with biolinguistic methods. IEEE Engineering in Medicine and Biology Magazine. 24(3). 73–80. 1 indexed citations

10.

Singh, Gautam B., et al.. (2004). Crash Detection System Using Hidden Markov Models. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

11.

Singh, Gautam B., et al.. (2004). Reusing Microarrays within Closely Related Species. PubMed. 3(2). 91–96. 1 indexed citations

12.

Ercan, M. Fi̇kret, et al.. (2003). Performance analysis of PC based SIMD parallel mechanism. WSEAS Transactions on Computers archive. 2(2). 295.

13.

Singh, Gautam B., et al.. (2001). Information system architecture for developing reusable testplans for embedded software. Microprocessors and Microsystems. 24(9). 453–461. 1 indexed citations

14.

Liu, Donglin & Gautam B. Singh. (2000). Profile based methods for genomic sequence retrieval. 20(3). 6–13.

15.

Singh, Gautam B., et al.. (2000). <title>Data mining algorithm for discovering matrix association regions (MARs)</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4057. 330–341. 1 indexed citations

16.

Kramer, Jeffrey A., Mark D. Adams, Gautam B. Singh, Norman A. Doggett, & Stephen A. Krawetz. (1998). A Matrix Associated Region Localizes the Human SOCS-1 Gene to Chromosome 16p13.13. Somatic Cell and Molecular Genetics. 24(2). 131–133. 14 indexed citations

17.

Kramer, Jeffrey A., Mark D. Adams, Gautam B. Singh, Norman A. Doggett, & Stephen A. Krawetz. (1998). Extended analysis of the region encompassing the PRM1→PRM2→TNP2 domain: Genomic organization, evolution and gene identification. Journal of Experimental Zoology. 282(1-2). 245–253. 21 indexed citations

18.

Singh, Gautam B., et al.. (1996). Computer-Assisted Search for Sites of Nuclear Matrix Attachment. Genomics. 33(2). 305–308. 28 indexed citations

19.

Singh, Gautam B., et al.. (1995). DNAView: A quality assessment tool for the visualization of large sequenced regions. Computer applications in the biosciences. 11(3). 317–319. 1 indexed citations

20.

Singh, Gautam B. & Stephen A. Krawetz. (1995). CLONEPLACER: a software tool for simulating contig formation for ordered shotgun sequencing. Genomics. 25(2). 555–558. 4 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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