Michael L. Baird

538 total citations
28 papers, 391 citations indexed

About

Michael L. Baird is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Michael L. Baird has authored 28 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Michael L. Baird's work include Forensic and Genetic Research (6 papers), Prenatal Screening and Diagnostics (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Michael L. Baird is often cited by papers focused on Forensic and Genetic Research (6 papers), Prenatal Screening and Diagnostics (5 papers) and Industrial Vision Systems and Defect Detection (5 papers). Michael L. Baird collaborates with scholars based in United States, United Kingdom and Sweden. Michael L. Baird's co-authors include E. D. Garber, Lawrence M. Weiss, D. J. Chapman, Thomas M. Reid, Richard F. Lee, John Phillip Reid, Zachary Demko, Johan Banér, Matthew Rabinowitz and Matthew D. Hill and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Human Genetics.

In The Last Decade

Michael L. Baird

27 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Baird United States 13 147 116 93 82 76 28 391
Hoang Vu Dang Vietnam 17 118 0.8× 123 1.1× 60 0.6× 116 1.4× 13 0.2× 56 781
Peilin Chen China 14 307 2.1× 54 0.5× 249 2.7× 30 0.4× 21 0.3× 23 540
John W. Breneman United States 12 256 1.7× 116 1.0× 137 1.5× 7 0.1× 16 0.2× 18 460
Simon Ardui Belgium 5 391 2.7× 165 1.4× 107 1.2× 6 0.1× 26 0.3× 6 655
Weidong Chen United States 11 113 0.8× 69 0.6× 193 2.1× 27 0.3× 180 2.4× 14 355
Anna V. Blenda United States 15 428 2.9× 74 0.6× 551 5.9× 41 0.5× 108 1.4× 32 915
Chong He United States 14 426 2.9× 66 0.6× 35 0.4× 12 0.1× 49 0.6× 31 689
Nitin Kumar India 14 285 1.9× 115 1.0× 311 3.3× 20 0.2× 19 0.3× 33 608
John M. Burns Ireland 9 132 0.9× 105 0.9× 47 0.5× 37 0.5× 11 0.1× 28 379

Countries citing papers authored by Michael L. Baird

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Baird. 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 Michael L. Baird. The network helps show where Michael L. Baird may publish in the future.

Co-authorship network of co-authors of Michael L. Baird

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Baird. A scholar is included among the top collaborators of Michael L. Baird 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 Michael L. Baird. Michael L. Baird 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.
Wenk, Robert E., John W. Peterson, & Michael L. Baird. (2021). A molecular classification of moles and its use in filiation tests. Journal of Forensic Sciences. 67(1). 328–331. 1 indexed citations
2.
Wenk, Robert E., et al.. (2020). Parentage of Hydatidiform Moles. Journal of Forensic Sciences. 65(4). 1346–1349. 2 indexed citations
3.
Baughn, Linda B., Kathryn E. Pearce, Dirk R. Larson, et al.. (2018). Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. Blood Cancer Journal. 8(10). 96–96. 44 indexed citations
4.
Elhaik, Eran, Mehdi Pirooznia, Gunes Ercal, et al.. (2017). The Diversity of REcent and Ancient huMan (DREAM): A New Microarray for Genetic Anthropology and Genealogy, Forensics, and Personalized Medicine. Genome Biology and Evolution. 9(12). 3225–3237. 7 indexed citations
5.
Baird, Michael L., et al.. (2017). A case of chimerism-induced paternity confusion: what ART practitioners can do to prevent future calamity for families. Journal of Assisted Reproduction and Genetics. 35(2). 345–352. 16 indexed citations
6.
Ryan, Allison, Johan Banér, Zachary Demko, et al.. (2012). Informatics-based, highly accurate, noninvasive prenatal paternity testing. Genetics in Medicine. 15(6). 473–477. 28 indexed citations
7.
Reid, Thomas M., et al.. (2008). Use of sibling pairs to determine the familial searching efficiency of forensic databases. Forensic Science International Genetics. 2(4). 340–342. 27 indexed citations
8.
Allen, Robert W., Jun Fu, Thomas M. Reid, & Michael L. Baird. (2007). Considerations for the interpretation of STR results in cases of questioned half‐sibship. Transfusion. 47(3). 515–519. 14 indexed citations
9.
Baird, Michael L.. (2003). Use of the AmpliType PM + HLA DQAI PCR Amplification and Typing Kits for Identity Testing. Humana Press eBooks. 98. 261–278. 4 indexed citations
10.
Baird, Michael L.. (1996). Use of DNA identification for forensic and paternity analysis. Journal of Clinical Laboratory Analysis. 10(6). 350–358. 3 indexed citations
11.
Baird, Michael L., et al.. (1985). Extending The Limits Of Pattern Inspection Using Machine Vision. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 538. 130–130. 3 indexed citations
12.
Beldjord, C., Michael L. Baird, Robert Girot, et al.. (1983). Four new haplotypes observed in Algerian ?-thalassemia patients. Human Genetics. 65(2). 204–206. 19 indexed citations
13.
Baird, Michael L.. (1983). GAGESIGHT: A Computer Vision System for Automatic Inspection of Instrument Gauges. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-5(6). 618–621. 6 indexed citations
14.
Baird, Michael L. & E. D. Garber. (1981). The genetics and biochemistry of urease in Ustilago violacea. Biochemical Genetics. 19(11-12). 1101–1114. 17 indexed citations
15.
Baird, Michael L. & E. D. Garber. (1979). Genetics of Ustilago violacea. V. Outcrossing and Selfing in Teliospore Inocula. Botanical Gazette. 140(1). 89–93. 37 indexed citations
16.
Baird, Michael L.. (1977). Image segmentation technique for locating automotive parts on belt conveyors. International Joint Conference on Artificial Intelligence. 694–695. 12 indexed citations
17.
Baird, Michael L.. (1975). Relational models for object location. ACM SIGART Bulletin. 13–14.
18.
Baird, Michael L., et al.. (1974). Recognizing Objects by Rules of Inference on Sequentially Thresholded Gray-Level Pictures. Computer Graphics and Image Processing. 3(1). 1–22. 7 indexed citations
19.
Baird, Michael L., et al.. (1974). A paradigm for semantic picture recognition. Pattern Recognition. 6(1). 61–74. 12 indexed citations
20.
Baird, Michael L.. (1973). A paradigm for semantic picture recognition. 430.6–431. 1 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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