Bala Muralikrishnan

2.1k total citations
66 papers, 1.6k citations indexed

About

Bala Muralikrishnan is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Bala Muralikrishnan has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mechanical Engineering, 26 papers in Computer Vision and Pattern Recognition and 24 papers in Computational Mechanics. Recurrent topics in Bala Muralikrishnan's work include Advanced Measurement and Metrology Techniques (38 papers), Optical measurement and interference techniques (22 papers) and Surface Roughness and Optical Measurements (19 papers). Bala Muralikrishnan is often cited by papers focused on Advanced Measurement and Metrology Techniques (38 papers), Optical measurement and interference techniques (22 papers) and Surface Roughness and Optical Measurements (19 papers). Bala Muralikrishnan collaborates with scholars based in United States, China and Egypt. Bala Muralikrishnan's co-authors include Daniel Sawyer, Sheng‐Yu Fu, J. Raja, Jack A. Stone, Ben Hughes, Steven Phillips, Marek Ziebart, Paul Maropoulos, Stuart Robson and Vincent Lee and has published in prestigious journals such as Optics Express, Sensors and Wear.

In The Last Decade

Bala Muralikrishnan

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bala Muralikrishnan United States 18 953 516 513 279 251 66 1.6k
Alfredo Cigada Italy 27 526 0.6× 290 0.6× 406 0.8× 257 0.9× 55 0.2× 151 2.2k
Peter Avitabile United States 26 561 0.6× 1.2k 2.4× 102 0.2× 208 0.7× 166 0.7× 110 2.6k
Giovanna Sansoni Italy 20 553 0.6× 1.3k 2.5× 254 0.5× 191 0.7× 516 2.1× 78 1.9k
Phillip L. Reu United States 24 445 0.5× 1.0k 2.0× 386 0.8× 282 1.0× 66 0.3× 91 2.0k
Nicola Paone Italy 17 321 0.3× 228 0.4× 146 0.3× 261 0.9× 50 0.2× 111 1.3k
H. Sol Belgium 38 2.0k 2.1× 716 1.4× 516 1.0× 375 1.3× 52 0.2× 187 4.4k
Emanuele Zappa Italy 22 299 0.3× 820 1.6× 220 0.4× 123 0.4× 151 0.6× 141 1.7k
Milena Martarelli Italy 20 449 0.5× 336 0.7× 140 0.3× 372 1.3× 26 0.1× 112 1.7k
Jamshid Ghaboussi United States 33 919 1.0× 93 0.2× 444 0.9× 238 0.9× 32 0.1× 101 3.8k
S.H. Lo Hong Kong 34 464 0.5× 198 0.4× 1.4k 2.7× 245 0.9× 40 0.2× 156 4.2k

Countries citing papers authored by Bala Muralikrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Bala Muralikrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bala Muralikrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Bala Muralikrishnan. A scholar is included among the top collaborators of Bala Muralikrishnan 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 Bala Muralikrishnan. Bala Muralikrishnan 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.
Muralikrishnan, Bala, et al.. (2025). A Method to Calibrate Angular Positioning Errors Using a Laser Tracker and a Plane Mirror. Sensors. 25(6). 1834–1834.
2.
Muralikrishnan, Bala, et al.. (2021). Validation of the network method for evaluating uncertainty and improvement of geometry error parameters of a laser tracker. Precision Engineering. 72. 664–679. 8 indexed citations
3.
Muralikrishnan, Bala. (2021). Performance evaluation of terrestrial laser scanners—a review. Measurement Science and Technology. 32(7). 72001–72001. 61 indexed citations
4.
Muralikrishnan, Bala, et al.. (2021). X-Ray Computed Tomography Instrument Performance Evaluation, Part III: Sensitivity to Detector Geometry and Rotation Stage Errors at Different Magnifications. Journal of Research of the National Institute of Standards and Technology. 126. 126029–126029. 3 indexed citations
5.
Muralikrishnan, Bala, et al.. (2020). Terrestrial laser scanner calibration and performance evaluation using the network method. Optics and Lasers in Engineering. 134. 106298–106298. 12 indexed citations
6.
Muralikrishnan, Bala, et al.. (2018). Metrological evaluation of contrast target center algorithm for terrestrial laser scanners. Measurement. 134. 15–24. 10 indexed citations
7.
Subramaniam, Rathan M., et al.. (2017). Jargon: A barrier in case history taking? - A cross-sectional survey among dental students and staff. Dental Research Journal. 14(3). 203–203. 7 indexed citations
8.
Muralikrishnan, Bala, et al.. (2017). Relative range error evaluation of terrestrial laser scanners using a plate, a sphere, and a novel dual-sphere-plate target. Measurement. 111. 60–68. 17 indexed citations
9.
10.
Muralikrishnan, Bala, et al.. (2017). Methods and considerations to determine sphere center from terrestrial laser scanner point cloud data. Measurement Science and Technology. 28(10). 105001–105001. 25 indexed citations
11.
Sawyer, Daniel, et al.. (2014). In-situ Temperature Calibration Capability for Dimensional Metrology. 9(4). 40–45. 1 indexed citations
12.
Muralikrishnan, Bala, et al.. (2013). Assessing ranging errors as a function of azimuth in laser trackers and tracers. Measurement Science and Technology. 24(6). 65201–65201. 21 indexed citations
13.
Song, Junfeng, Thomas B. Renegar, Johannes A. Soons, et al.. (2013). The effect of tip size on the measured Ra of surface roughness specimens with rectangular profiles. Precision Engineering. 38(1). 217–220. 8 indexed citations
14.
Sawyer, Daniel, et al.. (2012). A Model for Geometry-Dependent Errors in Length Artifacts. Journal of Research of the National Institute of Standards and Technology. 117. 216–216. 8 indexed citations
15.
Muralikrishnan, Bala, et al.. (2011). Geometric effects when measuring small holes with micro contact probes. Journal of Research of the National Institute of Standards and Technology. 116(2). 573–573. 20 indexed citations
16.
Muralikrishnan, Bala, et al.. (2010). Measuring scale errors in a laser tracker's horizontal angle encoder through simple length measurement and two-face system tests. Journal of Research of the National Institute of Standards and Technology. 115(5). 291–291. 21 indexed citations
17.
Levine, Zachary H., Bruce R. Borchardt, Charles W. Clark, et al.. (2010). RECIST versus volume measurement in medical CT using ellipsoids of known size. Optics Express. 18(8). 8151–8151. 18 indexed citations
18.
Muralikrishnan, Bala, et al.. (2005). Fiber deflection probe for small hole metrology. Precision Engineering. 30(2). 154–164. 76 indexed citations
19.
Muralikrishnan, Bala, et al.. (2005). Functional Filtering and Performance Correlation of Plateau Honed Surface Profiles. Journal of Manufacturing Science and Engineering. 127(1). 193–197. 13 indexed citations
20.
Fu, Sheng‐Yu, et al.. (2003). Engineering Surface Analysis With Different Wavelet Bases. Journal of Manufacturing Science and Engineering. 125(4). 844–852. 76 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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