Ted Herman

3.7k total citations · 1 hit paper
60 papers, 1.8k citations indexed

About

Ted Herman is a scholar working on Computer Networks and Communications, Hardware and Architecture and Infectious Diseases. According to data from OpenAlex, Ted Herman has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 15 papers in Hardware and Architecture and 7 papers in Infectious Diseases. Recurrent topics in Ted Herman's work include Distributed systems and fault tolerance (23 papers), Parallel Computing and Optimization Techniques (8 papers) and Infection Control in Healthcare (7 papers). Ted Herman is often cited by papers focused on Distributed systems and fault tolerance (23 papers), Parallel Computing and Optimization Techniques (8 papers) and Infection Control in Healthcare (7 papers). Ted Herman collaborates with scholars based in United States, Israel and Japan. Ted Herman's co-authors include Mohamed G. Gouda, Philip M. Polgreen, Shlomi Dolev, Alberto M. Segre, Geb Thomas, Sriram V. Pemmaraju, Sukumar Ghosh, Anish Arora, Murat Demirbaş and Vikas Mittal and has published in prestigious journals such as The American Journal of Medicine, The Journal of Infectious Diseases and IEEE Transactions on Software Engineering.

In The Last Decade

Ted Herman

56 papers receiving 1.7k citations

Hit Papers

A line in the sand: a wireless sensor network for target ... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ted Herman United States 19 1.1k 371 252 201 200 60 1.8k
Sriram V. Pemmaraju United States 20 518 0.5× 92 0.2× 96 0.4× 119 0.6× 146 0.7× 82 1.1k
Jeffrey A. Dean United States 23 689 0.6× 170 0.5× 913 3.6× 32 0.2× 540 2.7× 49 2.6k
T. Lang United States 27 282 0.2× 946 2.5× 543 2.2× 25 0.1× 278 1.4× 153 3.0k
Kai Richter Germany 37 518 0.5× 77 0.2× 997 4.0× 45 0.2× 110 0.6× 180 4.7k
Faraz S. Ahmad United States 26 674 0.6× 88 0.2× 157 0.6× 56 0.3× 260 1.3× 120 2.3k
Sandip Ray United States 21 331 0.3× 511 1.4× 652 2.6× 37 0.2× 557 2.8× 164 1.6k
Simon J. Shepherd United Kingdom 19 198 0.2× 198 0.5× 11 0.0× 103 0.5× 124 0.6× 70 1.1k
Scott Devine United States 19 1.2k 1.0× 115 0.3× 1.0k 4.0× 35 0.2× 207 1.0× 41 2.1k
Merrick L. Furst United States 27 490 0.4× 195 0.5× 34 0.1× 32 0.2× 1.7k 8.3× 67 3.5k
Pierre Michaud France 20 503 0.4× 258 0.7× 620 2.5× 35 0.2× 121 0.6× 74 1.6k

Countries citing papers authored by Ted Herman

Since Specialization
Citations

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

Fields of papers citing papers by Ted Herman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Herman

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Herman. A scholar is included among the top collaborators of Ted Herman 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 Ted Herman. Ted Herman 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
2.
Herman, Ted, et al.. (2021). The improvement of mathematical communication ability of elementary school students through project-based learning using mind map technique. Journal of Physics Conference Series. 1806(1). 12105–12105. 4 indexed citations
3.
Simmering, Jacob E., Octav Chipara, Elizabeth A. Stone, et al.. (2020). Continuous in-home PM2.5 concentrations of smokers with and without a history of respiratory exacerbations in Iowa, during and after an air purifier intervention. Journal of Exposure Science & Environmental Epidemiology. 30(5). 778–784. 2 indexed citations
4.
Stone, Elizabeth A., Thomas M. Peters, Xiaopeng Li, et al.. (2020). Indoor Particulate Matter From Smoker Homes Induces Bacterial Growth, Biofilm Formation, and Impairs Airway Antimicrobial Activity. A Pilot Study. Frontiers in Public Health. 7. 418–418. 9 indexed citations
5.
Butler, Rachel, Mauricio Monsalve, Geb Thomas, et al.. (2018). Estimating Time Physicians and Other Health Care Workers Spend with Patients in an Intensive Care Unit Using a Sensor Network. The American Journal of Medicine. 131(8). 972.e9–972.e15. 153 indexed citations
6.
Herman, Ted, et al.. (2015). Hand hygiene duration and technique recognition using wrist-worn sensors. 106–117. 24 indexed citations
7.
Monsalve, Mauricio, Sriram V. Pemmaraju, Geb Thomas, et al.. (2014). Do Peer Effects Improve Hand Hygiene Adherence among Healthcare Workers?. Infection Control and Hospital Epidemiology. 35(10). 1277–1285. 37 indexed citations
8.
Herman, Ted, et al.. (2014). Electronic Recognition of Hand Hygiene Technique and Duration. Infection Control and Hospital Epidemiology. 35(10). 1298–1300. 4 indexed citations
9.
Fries, Jason, Alberto M. Segre, Geb Thomas, et al.. (2012). Monitoring Hand Hygiene via Human Observers: How Should We Be Sampling?. Infection Control and Hospital Epidemiology. 33(7). 689–695. 37 indexed citations
10.
Naylor, David, et al.. (2012). Using Sensor Networks to Study the Effect of Peripatetic Healthcare Workers on the Spread of Hospital-Associated Infections. The Journal of Infectious Diseases. 206(10). 1549–1557. 76 indexed citations
11.
Thomas, Geb, Philip M. Polgreen, Ted Herman, et al.. (2011). Improving Patient Safety With Hand Hygiene Compliance Monitoring. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 55(1). 823–827. 2 indexed citations
12.
Ellingson, Katherine, Philip M. Polgreen, Amy Schneider, et al.. (2011). Healthcare Personnel Perceptions of Hand Hygiene Monitoring Technology. Infection Control and Hospital Epidemiology. 32(11). 1091–1096. 48 indexed citations
13.
Polgreen, Philip M., et al.. (2010). Method for Automated Monitoring of Hand Hygiene Adherence without Radio-Frequency Identification. Infection Control and Hospital Epidemiology. 31(12). 1294–1297. 49 indexed citations
14.
Dolev, Shlomi, et al.. (2005). Polygonal broadcast, secret maturity, and the firing sensors. Ad Hoc Networks. 4(4). 447–486. 5 indexed citations
15.
Masuzawa, Toshimitsu, et al.. (2004). Self-Stabilizing Agent Traversal on Tree Networks. IEICE Transactions on Information and Systems. 87(12). 2773–2780. 3 indexed citations
16.
Huang, Shing‐Tsaan, et al.. (2003). Self-stabilizing systems : 6th International Symposium, SSS 2003, San Francisco, CA, USA, June 24-25, 2003 : proceedings. Medical Entomology and Zoology. 1 indexed citations
17.
Datta, Ajoy K. & Ted Herman. (2001). Self-stabilizing systems : 5th International Workshop, WSS 2001, Lisbon, Portugal, October 1-2, 2001 : proceedings. Springer eBooks. 1 indexed citations
18.
Abraham, Uri, et al.. (2001). Self-stabilizing ℓ-exclusion. Theoretical Computer Science. 266(1-2). 653–692. 12 indexed citations
19.
Herman, Ted, et al.. (1994). Progress for Local Variables in UNITY. 127–146. 2 indexed citations
20.
Herman, Ted. (1992). Adaptivity through distributed convergence. 18 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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