Andrew W. Eckford

4.5k total citations · 1 hit paper
146 papers, 2.8k citations indexed

About

Andrew W. Eckford is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Andrew W. Eckford has authored 146 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Biomedical Engineering, 77 papers in Molecular Biology and 60 papers in Electrical and Electronic Engineering. Recurrent topics in Andrew W. Eckford's work include Molecular Communication and Nanonetworks (93 papers), Wireless Body Area Networks (54 papers) and Advanced biosensing and bioanalysis techniques (49 papers). Andrew W. Eckford is often cited by papers focused on Molecular Communication and Nanonetworks (93 papers), Wireless Body Area Networks (54 papers) and Advanced biosensing and bioanalysis techniques (49 papers). Andrew W. Eckford collaborates with scholars based in Canada, United States and United Kingdom. Andrew W. Eckford's co-authors include Nariman Farsad, Tadashi Nakano, Tokuko Haraguchi, Raviraj Adve, Weisi Guo, Chan‐Byoung Chae, K. V. Srinivas, Guilherme D. Pires, John L. Stanton and Satoshi Hiyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Andrew W. Eckford

133 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular Communication

2013 486 citations Andrew W. Eckford et al. profile →

Peers

Andrew W. Eckford

EEE

CNC

CMN

Carlos Alberto Gomez-Uribe United States

Tatsuya Suda United States

Olivier Bornet France

Bongjin Kim United States

Minghua Jiang China

Susan Stepney United Kingdom

Chris Christodoulou United Kingdom

Rudolf Marcel Füchslin Switzerland

Chris Varma United States

Carlos Alberto Gomez-Uribe United States

Andrew W. Eckford

117 ×0.1

654 ×0.4

76 ×0.1

EEE

157 ×0.5

CNC

43 ×0.2

CMN

Citations per year, relative to Andrew W. Eckford Andrew W. Eckford (= 1×) peers Carlos Alberto Gomez-Uribe

Countries citing papers authored by Andrew W. Eckford

Since Specialization

Citations

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

Fields of papers citing papers by Andrew W. Eckford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew W. Eckford. 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 Andrew W. Eckford. The network helps show where Andrew W. Eckford may publish in the future.

Co-authorship network of co-authors of Andrew W. Eckford

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

All Works

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20 of 20 papers shown

Bartlett, Stuart, Andrew W. Eckford, Matthew Egbert, et al.. (2025). Physics of Life: Exploring Information as a Distinctive Feature of Living Systems. 3(3). 2 indexed citations

Li, Linjuan, et al.. (2024). Tradeoff Between the Number of Transmitted Molecules and the BER Performance in Molecular Communication Between Bionanosensors. IEEE Sensors Journal. 25(1). 89–98.

Lin, Lin, et al.. (2024). Energy Allocation for Multiuser Cooperative Molecular Communication Systems in Internet of Bio-Nano Things. IEEE Internet of Things Journal. 11(9). 16303–16313. 4 indexed citations

Dressler, Falko, et al.. (2023). A Computational Approach for the Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 9(2). 124–134. 1 indexed citations

Elayan, Hadeel, Andrew W. Eckford, & Raviraj Adve. (2023). The Impact of Slow Fading on THz-Induced Protein Interactions. 3. 4458–4463. 1 indexed citations

Eckford, Andrew W., et al.. (2023). A Stochastic Biofilm Disruption Model Based on Quorum Sensing Mimickers. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 9(3). 346–350. 2 indexed citations

Eckford, Andrew W., et al.. (2023). Designing a Light-based Communication System with a Biomolecular Receiver. 85–90. 1 indexed citations

Moffett, Alexander S., Peter J. Thomas, Michael Hinczewski, & Andrew W. Eckford. (2022). Cheater suppression and stochastic clearance through quorum sensing. PLoS Computational Biology. 18(7). e1010292–e1010292. 2 indexed citations

Moffett, Alexander S., Guiying Cui, Peter J. Thomas, et al.. (2022). Permissive and nonpermissive channel closings in CFTR revealed by a factor graph inference algorithm. SHILAP Revista de lepidopterología. 2(4). 100083–100083.

10.

Moffett, Alexander S., et al.. (2020). Fitness value of information with delayed phenotype switching: Optimal performance with imperfect sensing. Physical review. E. 102(5). 52403–52403. 5 indexed citations

11.

Farsad, Nariman, et al.. (2018). Capacity Limits of Diffusion-Based Molecular Timing Channels With Finite Particle Lifetime. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 4(2). 88–106. 10 indexed citations

12.

Farsad, Nariman, et al.. (2017). Communication System Design and Analysis for Asynchronous Molecular Timing Channels. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 3(4). 239–253. 12 indexed citations

13.

Fang, Yuting, Adam Noel, Nan Yang, Andrew W. Eckford, & Rodney A. Kennedy. (2017). Maximum Likelihood Detection for Collaborative Molecular Communication.. arXiv (Cornell University). 2 indexed citations

14.

Bush, Stephen F., Janet L. Paluh, Giuseppe Piro, et al.. (2015). Defining Communication at the Bottom. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 1(1). 90–96. 28 indexed citations

15.

Farsad, Nariman, Weisi Guo, Chan‐Byoung Chae, & Andrew W. Eckford. (2015). Stable Distributions as Noise Models for Molecular Communication. 2015 IEEE Global Communications Conference (GLOBECOM). 1–6. 33 indexed citations

16.

Farsad, Nariman, Weisi Guo, & Andrew W. Eckford. (2013). Tabletop Molecular Communication: Text Messages through Chemical Signals. PLoS ONE. 8(12). e82935–e82935. 186 indexed citations

17.

Farsad, Nariman, Andrew W. Eckford, & Satoshi Hiyama. (2012). Channel design and optimization of active transport molecular communication. 213–223. 2 indexed citations

18.

Farsad, Nariman, Andrew W. Eckford, Satoshi Hiyama, & Yuki Moritani. (2012). On-Chip Molecular Communication: Analysis and Design. IEEE Transactions on NanoBioscience. 11(3). 304–314. 75 indexed citations

19.

Eckford, Andrew W., Frank R. Kschischang, & Subbarayan Pasupathy. (2003). Designing Very Good Low-Density Parity-Check Codes for the Gilbert-Elliott Channel. 80(4). 447–53. 2 indexed citations

20.

Eckford, Andrew W., Frank R. Kschischang, & Subbarayan Pasupathy. (2002). Characterizing the Gilbert-Elliott Parameter Space under LDPC Decoding. The International Journal of Health Planning and Management. 35(2). 433–440. 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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