D. Rivas

435 total citations
7 papers, 329 citations indexed

About

D. Rivas is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, D. Rivas has authored 7 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in D. Rivas's work include Analog and Mixed-Signal Circuit Design (4 papers), Neuroscience and Neural Engineering (4 papers) and Low-power high-performance VLSI design (2 papers). D. Rivas is often cited by papers focused on Analog and Mixed-Signal Circuit Design (4 papers), Neuroscience and Neural Engineering (4 papers) and Low-power high-performance VLSI design (2 papers). D. Rivas collaborates with scholars based in Spain, United States and Sweden. D. Rivas's co-authors include Shahzad Hossain, An Ta, Leon Wong, Gloria Huertas, Alberto Yúfera, Marı́a J. Rivero, Alberto Olmo, S. Bell, Matthew Clapp and Q. Morrissey and has published in prestigious journals such as Sensors, IEEE Journal of Solid-State Circuits and Microprocessors and Microsystems.

In The Last Decade

D. Rivas

7 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Rivas Spain	4	266	238	89	42	32	7	329
An Ta United States	3	245 0.9×	219 0.9×	84 0.9×	42 1.0×	32 1.0×	5	310
Jacopo Olivo Switzerland	10	230 0.9×	200 0.8×	69 0.8×	55 1.3×	5 0.2×	19	357
Mohamad Sawan Canada	10	281 1.1×	219 0.9×	149 1.7×	14 0.3×	10 0.3×	29	387
Nattapon Chaimanonart United States	12	372 1.4×	270 1.1×	80 0.9×	51 1.2×	15 0.5×	17	480
Kye‐Shin Lee United States	10	185 0.7×	212 0.9×	28 0.3×	10 0.2×	22 0.7×	48	301
Xiaoyang Zhang China	11	288 1.1×	388 1.6×	89 1.0×	28 0.7×	187 5.8×	39	544
Sara S. Ghoreishizadeh United Kingdom	12	270 1.0×	230 1.0×	130 1.5×	11 0.3×	6 0.2×	49	449
Tzu-Yi Yang Taiwan	15	477 1.8×	308 1.3×	126 1.4×	31 0.7×	5 0.2×	44	627
Petar Jokic Switzerland	7	163 0.6×	202 0.8×	25 0.3×	58 1.4×	7 0.2×	9	337
Tucker Stuart United States	9	133 0.5×	244 1.0×	143 1.6×	23 0.5×	21 0.7×	13	389

Countries citing papers authored by D. Rivas

Since Specialization

Citations

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

Fields of papers citing papers by D. Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Rivas

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

All Works

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7 of 7 papers shown

1.

Rivas, D., S. Bell, Matthew Clapp, et al.. (2018). 600MSPS Direct Digital Synthesizer with Amplitude Control for a Cold Atom Gravimeter. 1–4. 1 indexed citations

2.

Rivas, D., et al.. (2017). Real-Time Electrical Bioimpedance Characterization of Neointimal Tissue for Stent Applications. Sensors. 17(8). 1737–1737. 13 indexed citations

3.

Rivas, D., et al.. (2016). A novel computer-assisted design tool for implantable MEMS pressure sensors. Microprocessors and Microsystems. 46. 75–83. 8 indexed citations

4.

Rivas, D., et al.. (2015). Oscillation-based approach applied to a low-power analog front-end for an implantable cardiac device. 1–6. 1 indexed citations

5.

Rivas, D., et al.. (2015). Energy-efficient implantable transmitter for restenosis monitoring with intelligent-stents. PubMed. 2015. 3323–3326. 2 indexed citations

6.

Wong, Leon, et al.. (2004). A very low power CMOS mixed-signal IC for implantable pacemaker applications. 318–530. 12 indexed citations

7.

Wong, Leon, et al.. (2004). A very low-power CMOS mixed-signal IC for implantable pacemaker applications. IEEE Journal of Solid-State Circuits. 39(12). 2446–2456. 292 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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