Brian P. Mann

8.3k total citations · 2 hit papers
150 papers, 6.7k citations indexed

About

Brian P. Mann is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Brian P. Mann has authored 150 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Mechanical Engineering, 62 papers in Biomedical Engineering and 37 papers in Electrical and Electronic Engineering. Recurrent topics in Brian P. Mann's work include Innovative Energy Harvesting Technologies (38 papers), Advanced machining processes and optimization (37 papers) and Advanced Surface Polishing Techniques (33 papers). Brian P. Mann is often cited by papers focused on Innovative Energy Harvesting Technologies (38 papers), Advanced machining processes and optimization (37 papers) and Advanced Surface Polishing Techniques (33 papers). Brian P. Mann collaborates with scholars based in United States, Hungary and United Kingdom. Brian P. Mann's co-authors include Samuel C. Stanton, Neil D. Sims, Clark C. McGehee, Benjamin A. M. Owens, Philip V. Bayly, Gábor Stépàn, Tamás Insperger, Jeremiah E. Halley, Firas A. Khasawneh and Tony L. Schmitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Brian P. Mann

146 papers receiving 6.4k citations

Hit Papers

Energy harvesting from the nonlinear oscillations of magn... 2008 2026 2014 2020 2008 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian P. Mann United States 38 5.5k 3.4k 2.8k 1.7k 833 150 6.7k
Tamás Insperger Hungary 37 4.1k 0.8× 3.5k 1.0× 1.4k 0.5× 432 0.3× 1.4k 1.6× 155 6.0k
Grzegorz Litak Poland 42 3.5k 0.6× 1.5k 0.4× 1.4k 0.5× 1.6k 1.0× 1.1k 1.3× 318 6.5k
Dirk Vandepitte Belgium 42 1.5k 0.3× 1.2k 0.4× 869 0.3× 2.1k 1.3× 520 0.6× 361 5.6k
M.J. Brennan United Kingdom 56 3.0k 0.5× 1.9k 0.6× 788 0.3× 8.0k 4.8× 2.5k 3.0× 283 11.0k
Kurt Maute United States 50 1.6k 0.3× 816 0.2× 976 0.4× 6.0k 3.6× 468 0.6× 169 9.4k
Yoon Young Kim South Korea 42 1.6k 0.3× 2.4k 0.7× 454 0.2× 2.4k 1.4× 633 0.8× 240 5.7k
Scott Smith United States 28 2.6k 0.5× 1.7k 0.5× 1.0k 0.4× 441 0.3× 408 0.5× 114 3.5k
Zichen Deng China 36 1.8k 0.3× 1.6k 0.5× 250 0.1× 1.2k 0.7× 751 0.9× 317 5.6k
Matthew A. Davies United States 30 2.4k 0.4× 2.0k 0.6× 787 0.3× 310 0.2× 170 0.2× 106 3.3k
Daniel J. Rixen Germany 36 1.5k 0.3× 912 0.3× 636 0.2× 2.5k 1.5× 1.3k 1.6× 240 5.5k

Countries citing papers authored by Brian P. Mann

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Mann. 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 Brian P. Mann. The network helps show where Brian P. Mann may publish in the future.

Co-authorship network of co-authors of Brian P. Mann

This figure shows the co-authorship network connecting the top 25 collaborators of Brian P. Mann. A scholar is included among the top collaborators of Brian P. Mann 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 Brian P. Mann. Brian P. Mann 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.
Collins, Amber T., Bryan S. Crook, Nimit Lad, et al.. (2024). Tibiofemoral cartilage strain and recovery following a 3-mile run measured using deep learning segmentation of bone and cartilage. SHILAP Revista de lepidopterología. 7(1). 100556–100556. 2 indexed citations
2.
Zani, Sabino, et al.. (2024). Improving Bioimpedance-based Tissue Identification with Frequency Response Similarity Metrics. PubMed. 2024. 1–5. 1 indexed citations
3.
Turner, James D., et al.. (2023). Stability prediction via parameter estimation from milling time series. Journal of Sound and Vibration. 571. 117954–117954. 1 indexed citations
4.
Holm, Peter E., et al.. (2022). High power electromagnetic vibration harvesting using a magnetic dumbbell structure. Journal of Sound and Vibration. 546. 117446–117446. 10 indexed citations
5.
Mann, Brian P., et al.. (2022). Improving magnitude and phase comparison metrics for frequency response functions using cross-correlation and log-frequency shifting. Journal of Sound and Vibration. 539. 117255–117255. 5 indexed citations
7.
Moore, Samuel A., et al.. (2021). The eccentric disk and its eccentric behavior. European Journal of Physics. 42(6). 65012–65012. 1 indexed citations
8.
Beleggia, Marco, et al.. (2020). Analytical Force and Flux for a 1-D Electromagnetic Vibration Energy Harvester. IEEE Transactions on Magnetics. 56(11). 1–6. 19 indexed citations
9.
Mann, Brian P., et al.. (2020). Patterned rotary parallel-plate capacitor for frequency up-conversion and RC circuit waveform conditioning. Engineering Research Express. 2(2). 25039–25039. 1 indexed citations
10.
Jensen, Brian C., et al.. (2019). Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network. Biomedical Human Kinetics. 11(1). 60–68. 12 indexed citations
11.
Manson, Roberto J., et al.. (2018). Objective Assessment of the Early Stages of the Learning Curve for the Senhance Surgical Robotic System. Journal of surgical education. 76(1). 201–214. 27 indexed citations
12.
Mann, Brian P., et al.. (2018). Passive subharmonic elimination. Applied Physics Letters. 113(14). 2 indexed citations
13.
Mann, Brian P.. (2014). Some hyperbolic out (Fn)-graphs and nonunique ergodicity of very small Fn-trees. J. Willard Marriott Library. 2 indexed citations
14.
Mann, Brian P., et al.. (2013). Passive band-gap reconfiguration born from bifurcation asymmetry. Physical Review E. 88(5). 52903–52903. 4 indexed citations
15.
Sah, Si Mohamed & Brian P. Mann. (2012). Transition curves in a parametrically excited pendulum with a force of elliptic type. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 468(2148). 3995–4007. 12 indexed citations
16.
Khasawneh, Firas A. & Brian P. Mann. (2012). A spectral element approach for the stability analysis of time-periodic delay equations with multiple delays. Communications in Nonlinear Science and Numerical Simulation. 18(8). 2129–2141. 26 indexed citations
17.
Khasawneh, Firas A. & Brian P. Mann. (2011). Stability of delay integro-differential equations using a spectral element method. Mathematical and Computer Modelling. 54(9-10). 2493–2503. 20 indexed citations
18.
Mann, Brian P. & Benjamin A. M. Owens. (2009). Investigations of a nonlinear energy harvester with a bistable potential well. Journal of Sound and Vibration. 329(9). 1215–1226. 318 indexed citations
19.
Schmitz, Tony L., et al.. (2009). Milling optimisation of removal rate and accuracy with uncertainty: Part 1: parameter selection. International Journal of Materials and Product Technology. 35(1/2). 3–3. 13 indexed citations
20.
Mann, Brian P., et al.. (1954). Talc Pneumoconiosis in the Textile Industry. BMJ. 2(4902). 1460–1461. 6 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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