Edward Sazonov

6.4k total citations
213 papers, 4.7k citations indexed

About

Edward Sazonov is a scholar working on Biomedical Engineering, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Edward Sazonov has authored 213 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Biomedical Engineering, 60 papers in Public Health, Environmental and Occupational Health and 48 papers in Physiology. Recurrent topics in Edward Sazonov's work include Nutritional Studies and Diet (52 papers), Advanced Chemical Sensor Technologies (42 papers) and Non-Invasive Vital Sign Monitoring (25 papers). Edward Sazonov is often cited by papers focused on Nutritional Studies and Diet (52 papers), Advanced Chemical Sensor Technologies (42 papers) and Non-Invasive Vital Sign Monitoring (25 papers). Edward Sazonov collaborates with scholars based in United States, United Kingdom and Ghana. Edward Sazonov's co-authors include Muhammad Farooq, Juan Manuel Fontana, Paulo Lopez‐Meyer, George Fulk, Michael R. Neuman, Stephanie Schuckers, Stephen T. Tiffany, Nagaraj Hegde, R. Browning and Edward L. Melanson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

Edward Sazonov

202 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Sazonov United States 37 1.7k 1.1k 1.0k 867 466 213 4.7k
Rory A. Cooper United States 54 1.7k 1.0× 488 0.4× 919 0.9× 174 0.2× 205 0.4× 472 10.9k
Branko G. Celler Australia 38 2.6k 1.5× 2.2k 2.0× 339 0.3× 370 0.4× 532 1.1× 256 6.6k
Paolo Bonato United States 49 5.4k 3.1× 1.1k 1.0× 240 0.2× 461 0.5× 664 1.4× 246 11.1k
Wenyao Xu United States 38 1.9k 1.1× 1.3k 1.2× 177 0.2× 335 0.4× 1.3k 2.7× 276 5.7k
Lorenzo Chiari Italy 52 3.5k 2.0× 1.4k 1.3× 516 0.5× 392 0.5× 240 0.5× 221 10.0k
Kenneth Meijer Netherlands 40 2.0k 1.1× 366 0.3× 458 0.4× 1.4k 1.6× 82 0.2× 202 6.3k
Stephen J. Redmond Australia 36 2.4k 1.4× 1.2k 1.0× 186 0.2× 288 0.3× 489 1.0× 152 4.6k
Oliver Amft Germany 36 1.4k 0.8× 1.6k 1.4× 502 0.5× 441 0.5× 657 1.4× 189 4.7k
Kamiar Aminian Switzerland 58 6.1k 3.5× 2.3k 2.1× 542 0.5× 1.0k 1.2× 613 1.3× 340 14.0k
A.M. Sabatini Italy 37 2.8k 1.6× 1.4k 1.2× 115 0.1× 221 0.3× 1.2k 2.5× 140 6.4k

Countries citing papers authored by Edward Sazonov

Since Specialization
Citations

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

Fields of papers citing papers by Edward Sazonov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Sazonov

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Sazonov. A scholar is included among the top collaborators of Edward Sazonov 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 Edward Sazonov. Edward Sazonov 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.
McCrory, Megan A., Matilda Steiner‐Asiedu, Edward Sazonov, et al.. (2025). Food-related behaviors of rural (Asaase Kooko) and peri-urban (Kaadjanor) households in Ghana. Frontiers in Nutrition. 12. 1523793–1523793.
2.
Thomas, Diana M., Rob Knight, Jack A. Gilbert, et al.. (2024). Transforming Big Data into AI‐ready data for nutrition and obesity research. Obesity. 32(5). 857–870. 4 indexed citations
3.
LaMunion, Samuel R., et al.. (2024). A CNN Model for Physical Activity Recognition and Energy Expenditure Estimation from an Eyeglass-Mounted Wearable Sensor. Sensors. 24(10). 3046–3046. 2 indexed citations
4.
Jia, Wenyan, Qi Xu, Zhi‐Hong Mao, et al.. (2024). Image-based volume estimation for food in a bowl. Journal of Food Engineering. 372. 111943–111943. 2 indexed citations
5.
Lo, Frank P.-W., Jianing Qiu, Modou Lamin Jobarteh, et al.. (2024). AI-enabled wearable cameras for assisting dietary assessment in African populations. npj Digital Medicine. 7(1). 356–356. 6 indexed citations
6.
7.
Qiu, Jianing, Frank P.-W. Lo, Xiao Gu, et al.. (2023). Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring. IEEE Transactions on Cybernetics. 54(2). 679–692. 15 indexed citations
8.
9.
Jia, Wenyan, Boyang Li, Zhi‐Hong Mao, et al.. (2022). A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation. Sensors. 22(4). 1493–1493. 11 indexed citations
10.
Sazonov, Edward, Megan A. McCrory, Matilda Steiner‐Asiedu, et al.. (2022). Feasibility of the automatic ingestion monitor (AIM-2) for infant feeding assessment: a pilot study among breast-feeding mothers from Ghana. Public Health Nutrition. 25(10). 2897–2907. 3 indexed citations
11.
Jobarteh, Modou Lamin, Megan A. McCrory, Benny Lo, et al.. (2020). Development and Validation of an Objective, Passive Dietary Assessment Method for Estimating Food and Nutrient Intake in Households in Low- and Middle-Income Countries: A Study Protocol. Current Developments in Nutrition. 4(2). nzaa020–nzaa020. 18 indexed citations
12.
Imtiaz, Masudul H., et al.. (2019). Wearable Egocentric Camera as a Monitoring Tool of Free-Living Cigarette Smoking: A Feasibility Study. Nicotine & Tobacco Research. 22(10). 1883–1890. 11 indexed citations
13.
Senyurek, Volkan, et al.. (2019). Computation of Cigarette Smoke Exposure Metrics From Breathing. IEEE Transactions on Biomedical Engineering. 67(8). 2309–2316. 10 indexed citations
14.
Imtiaz, Masudul H., et al.. (2019). Wearable Sensors for Monitoring of Cigarette Smoking in Free-Living: A Systematic Review. Sensors. 19(21). 4678–4678. 38 indexed citations
15.
Sazonov, Edward, et al.. (2019). Processing of Egocentric Camera Images from a Wearable Food Intake Sensor. 1–6. 10 indexed citations
16.
Sazonov, Edward, et al.. (2019). A Comparison of SVM and CNN-LSTM Based Approach for Detecting Smoke Inhalations from Respiratory signal. IEEE Conference Proceedings. 2019. 3262–3265. 1 indexed citations
17.
Farooq, Muhammad & Edward Sazonov. (2016). Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses With Piezoelectric Sensor. IEEE Journal of Biomedical and Health Informatics. 21(6). 1495–1503. 41 indexed citations
18.
Sazonov, Edward & Michael R. Neuman. (2014). Wearable sensors : fundamentals, implementation and applications. CERN Document Server (European Organization for Nuclear Research). 114 indexed citations
19.
Zain, M.F.M., et al.. (2008). Performance testing of wireless intelligent sensor and actuator network (WISAN) on a pre-stressed concrete bridge. 390–395. 4 indexed citations
20.
Sazonov, Edward, et al.. (2005). Sleep-wake identification in infants: heart rate variability compared to actigraphy. PubMed. 3. 442–445. 19 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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