Todd J. Freeborn

3.4k total citations
108 papers, 2.7k citations indexed

About

Todd J. Freeborn is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Todd J. Freeborn has authored 108 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Electrical and Electronic Engineering, 61 papers in Biomedical Engineering and 41 papers in Control and Systems Engineering. Recurrent topics in Todd J. Freeborn's work include Electrical and Bioimpedance Tomography (38 papers), Advanced Control Systems Design (37 papers) and Body Composition Measurement Techniques (34 papers). Todd J. Freeborn is often cited by papers focused on Electrical and Bioimpedance Tomography (38 papers), Advanced Control Systems Design (37 papers) and Body Composition Measurement Techniques (34 papers). Todd J. Freeborn collaborates with scholars based in United States, United Arab Emirates and Canada. Todd J. Freeborn's co-authors include Ahmed S. Elwakil, Brent Maundy, Anis Allagui, Bo Fu, David Kubánek, Jaroslav Koton, Costas Psychalinos, Ahmed G. Radwan, Γεωργία Τσιριμώκου and Michael R. Esco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Scientific Reports.

In The Last Decade

Todd J. Freeborn

101 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd J. Freeborn United States 26 1.3k 1.2k 1.1k 445 319 108 2.7k
Brent Maundy Canada 31 1.3k 1.0× 2.0k 1.6× 1.5k 1.5× 408 0.9× 293 0.9× 196 3.3k
Costas Psychalinos Greece 33 1.9k 1.4× 2.4k 1.9× 2.3k 2.2× 392 0.9× 51 0.2× 311 3.8k
Farzad Ebrahimi Iran 60 1.2k 0.9× 212 0.2× 901 0.9× 45 0.1× 61 0.2× 433 13.0k
Sahaj Saxena India 25 1.1k 0.8× 901 0.7× 283 0.3× 52 0.1× 11 0.0× 93 2.0k
Bin Duan China 30 1.0k 0.7× 2.4k 1.9× 122 0.1× 15 0.0× 122 0.4× 200 3.4k
Amit Patra India 26 1.0k 0.8× 2.1k 1.7× 409 0.4× 15 0.0× 21 0.1× 202 2.8k
Ping Liu China 29 865 0.6× 2.9k 2.3× 65 0.1× 12 0.0× 128 0.4× 201 4.1k
Atif Shamim Saudi Arabia 44 105 0.1× 4.7k 3.8× 2.0k 1.9× 45 0.1× 534 1.7× 326 6.3k
Yuxiang Yang China 20 159 0.1× 1.1k 0.9× 196 0.2× 6 0.0× 124 0.4× 93 1.5k
Guadalupe López López Mexico 16 213 0.2× 210 0.2× 94 0.1× 377 0.8× 39 0.1× 36 932

Countries citing papers authored by Todd J. Freeborn

Since Specialization
Citations

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

Fields of papers citing papers by Todd J. Freeborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd J. Freeborn. 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 Todd J. Freeborn. The network helps show where Todd J. Freeborn may publish in the future.

Co-authorship network of co-authors of Todd J. Freeborn

This figure shows the co-authorship network connecting the top 25 collaborators of Todd J. Freeborn. A scholar is included among the top collaborators of Todd J. Freeborn 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 Todd J. Freeborn. Todd J. Freeborn 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.
Kubánek, David, et al.. (2025). Design, synthesis and simulation of fractional-order element using MOS transistors as distributed resistive capacitive devices. Scientific Reports. 15(1). 14717–14717. 1 indexed citations
2.
Simić, Mitar, Todd J. Freeborn, & Goran M. Stojanović. (2024). Smartphone-Based Parameter Estimation of the Cole-Impedance Model for Assessment of Agricultural Goods. IEEE Access. 12. 103192–103202.
3.
4.
Simić, Mitar, Todd J. Freeborn, Mladen Veletić, Fernando Seoane, & Goran M. Stojanović. (2023). Parameter Estimation of the Single-Dispersion Fractional Cole-Impedance Model With the Embedded Hardware. IEEE Sensors Journal. 23(12). 12978–12987. 4 indexed citations
5.
Simić, Mitar, et al.. (2023). A novel method for in-situ extracting bio-impedance model parameters optimized for embedded hardware. Scientific Reports. 13(1). 5070–5070. 6 indexed citations
6.
Freeborn, Todd J., et al.. (2023). Segmental Tissue Resistance of Healthy Young Adults during Four Hours of 6-Degree Head-Down-Tilt Positioning. Sensors. 23(5). 2793–2793. 1 indexed citations
7.
8.
Freeborn, Todd J., et al.. (2021). Threshold and Trend Artifacts in Localized Multi-Frequency Bioimpedance Measurements. IFAC-PapersOnLine. 54(15). 55–60. 2 indexed citations
9.
Freeborn, Todd J., et al.. (2021). Localized Bioimpedance Measurements with the MAX3000x Integrated Circuit: Characterization and Demonstration. Sensors. 21(9). 3013–3013. 14 indexed citations
10.
Sanchez, Benjamin, Ørjan G. Martinsen, Todd J. Freeborn, & Cynthia Furse. (2020). Electrical impedance myography: A critical review and outlook. Clinical Neurophysiology. 132(2). 338–344. 34 indexed citations
11.
Freeborn, Todd J., et al.. (2019). Contraction Artifacts on Biceps Tissue Bioimpedance Collected using Stepped-Sine Excitations. 1–6. 7 indexed citations
12.
Fu, Bo & Todd J. Freeborn. (2019). Electrical Equivalent Network Modeling of Forearm Tissue Bioimpedance. 1–7. 4 indexed citations
13.
Kubánek, David, Todd J. Freeborn, Jaroslav Koton, & Norbert Herencsár. (2018). Evaluation of (1 + α) Fractional-Order Approximated Butterworth High-Pass and Band-Pass Filter Transfer Functions. Elektronika ir Elektrotechnika. 24(2). 37–41. 16 indexed citations
14.
Allagui, Anis, Todd J. Freeborn, Ahmed S. Elwakil, et al.. (2018). Review of fractional-order electrical characterization of supercapacitors. Journal of Power Sources. 400. 457–467. 134 indexed citations
15.
Fu, Bo & Todd J. Freeborn. (2018). Biceps tissue bioimpedance changes from isotonic exercise-induced fatigue at different intensities. Biomedical Physics & Engineering Express. 4(2). 25037–25037. 33 indexed citations
16.
Esco, Michael R., Henry N. Williford, Andrew A. Flatt, Todd J. Freeborn, & Fábio Yuzo Nakamura. (2017). Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance. European Journal of Applied Physiology. 118(1). 175–184. 44 indexed citations
17.
Kubánek, David & Todd J. Freeborn. (2017). (1+ α ) Fractional-order transfer functions to approximate low-pass magnitude responses with arbitrary quality factor. AEU - International Journal of Electronics and Communications. 83. 570–578. 42 indexed citations
18.
Freeborn, Todd J., Ahmed S. Elwakil, & Costas Psychalinos. (2016). Analysis of a rectifier circuit realized with a fractional-order capacitor. 33–36. 3 indexed citations
19.
Freeborn, Todd J.. (2013). A Survey of Fractional-Order Circuit Models for Biology and Biomedicine. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 3(3). 416–424. 278 indexed citations
20.
Freeborn, Todd J., Brent Maundy, & Ahmed S. Elwakil. (2013). Cole impedance extractions from the step-response of a current excited fruit sample. Computers and Electronics in Agriculture. 98. 100–108. 49 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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