Heman Shakeri

430 total citations
29 papers, 289 citations indexed

About

Heman Shakeri is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Heman Shakeri has authored 29 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistical and Nonlinear Physics, 7 papers in Computer Networks and Communications and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Heman Shakeri's work include Complex Network Analysis Techniques (9 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Assembly Line Balancing Optimization (4 papers). Heman Shakeri is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Assembly Line Balancing Optimization (4 papers). Heman Shakeri collaborates with scholars based in United States, Iran and Canada. Heman Shakeri's co-authors include Ehsan Ardjmand, Manjeet Singh, Ali Tavasoli, William A. Young, Caterina Scoglio, Pietro Poggi‐Corradini, Mahyar Naraghi, Faryad Darabi Sahneh, Gary R. Weckman and Iman Ghalehkhondabi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Heman Shakeri

25 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heman Shakeri United States 9 117 56 43 40 36 29 289
Zhenghong Deng China 13 84 0.7× 128 2.3× 75 1.7× 31 0.8× 51 1.4× 39 417
Paul Weng China 10 59 0.5× 31 0.6× 29 0.7× 67 1.7× 128 3.6× 31 405
Ali Khanafer United States 11 76 0.6× 53 0.9× 3 0.1× 113 2.8× 36 1.0× 25 309
Hongwei Kang China 14 40 0.3× 45 0.8× 7 0.2× 29 0.7× 39 1.1× 59 460
Xingping Sun China 13 40 0.3× 36 0.6× 7 0.2× 28 0.7× 30 0.8× 52 429
Ashish R. Hota India 11 9 0.1× 63 1.1× 5 0.1× 36 0.9× 53 1.5× 43 439
Brian M. Lewis United States 7 26 0.2× 18 0.3× 7 0.2× 21 0.5× 8 0.2× 12 300
Liping Feng China 7 18 0.2× 120 2.1× 10 0.2× 183 4.6× 118 3.3× 35 353

Countries citing papers authored by Heman Shakeri

Since Specialization
Citations

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

Fields of papers citing papers by Heman Shakeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heman Shakeri

This figure shows the co-authorship network connecting the top 25 collaborators of Heman Shakeri. A scholar is included among the top collaborators of Heman Shakeri 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 Heman Shakeri. Heman Shakeri 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.
Tavasoli, Ali, et al.. (2024). The art of interconnections: Achieving maximum algebraic connectivity in multilayer networks. Network Science. 12(3). 261–288.
2.
Corliss, Bruce A., et al.. (2024). MAD-FC: A fold change visualization with readability, proportionality, and symmetry. PLoS ONE. 19(5). e0304632–e0304632.
3.
Shakeri, Heman, et al.. (2024). Biophysical modulation and robustness of itinerant complexity in neuronal networks. SHILAP Revista de lepidopterología. 4. 1302499–1302499. 2 indexed citations
4.
Tavasoli, Ali, Teague R. Henry, & Heman Shakeri. (2023). A purely data-driven framework for prediction, optimization, and control of networked processes. ISA Transactions. 138. 491–503. 3 indexed citations
5.
Tavasoli, Ali, et al.. (2023). Competitive pricing under local network effects. European Journal of Operational Research. 311(2). 545–566. 5 indexed citations
6.
Corliss, Bruce A., et al.. (2022). Contra-Analysis: Prioritizing Meaningful Effect Size in Scientific Research. SSRN Electronic Journal. 1 indexed citations
7.
Wolfe, Cecily J., et al.. (2022). GeoTyper: Automated Pipeline from Raw scRNA-Seq Data to Cell Type Identification. 223–228. 1 indexed citations
8.
Porter, Michael D., et al.. (2021). Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. 2021 IEEE International Conference on Big Data (Big Data). 4342–4349. 6 indexed citations
9.
Shakeri, Heman, Ali Tavasoli, Ehsan Ardjmand, & Pietro Poggi‐Corradini. (2020). Designing optimal multiplex networks for certain Laplacian spectral properties. Physical review. E. 102(2). 22302–22302. 2 indexed citations
10.
Ardjmand, Ehsan, Manjeet Singh, Heman Shakeri, Ali Tavasoli, & William A. Young. (2020). Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach. Applied Soft Computing. 100. 106953–106953. 16 indexed citations
11.
Ardjmand, Ehsan, et al.. (2020). A multi-objective model for minimising makespan and total travel time in put wall-based picking systems. International Journal of Logistics Systems and Management. 36(1). 138–138. 5 indexed citations
12.
Londoño-Rentería, Berlin, et al.. (2018). Serosurvey of Human Antibodies Recognizing Aedes aegypti D7 Salivary Proteins in Colombia. Frontiers in Public Health. 6. 111–111. 22 indexed citations
13.
Ardjmand, Ehsan, et al.. (2018). A Multi-Objective Model for Minimizing Makespan and Total Travel Time in Put Wall Based Picking Systems. International Journal of Logistics Systems and Management. 35(1). 1–1. 1 indexed citations
14.
Marzo, José L., et al.. (2018). A study of the robustness of optical networks under massive failures. Optical Switching and Networking. 31. 1–7. 9 indexed citations
15.
Ardjmand, Ehsan, et al.. (2018). Minimizing order picking makespan with multiple pickers in a wave picking warehouse. International Journal of Production Economics. 206. 169–183. 73 indexed citations
16.
Shakeri, Heman, Victoriya V. Volkova, Xuesong Wen, et al.. (2018). Establishing Statistical Equivalence of Data from Different Sampling Approaches for Assessment of Bacterial Phenotypic Antimicrobial Resistance. Applied and Environmental Microbiology. 84(9). 6 indexed citations
17.
Shakeri, Heman, Pietro Poggi‐Corradini, Nathan Albin, & Caterina Scoglio. (2017). Network clustering and community detection using modulus of families of loops. Physical review. E. 95(1). 12316–12316. 8 indexed citations
18.
Shakeri, Heman, Nathan Albin, Faryad Darabi Sahneh, Pietro Poggi‐Corradini, & Caterina Scoglio. (2016). Maximizing algebraic connectivity in interconnected networks. Physical review. E. 93(3). 30301–30301. 16 indexed citations
19.
Shakeri, Heman, Faryad Darabi Sahneh, Caterina Scoglio, Pietro Poggi‐Corradini, & Víctor M. Preciado. (2015). Optimal information dissemination strategy to promote preventivebehaviors in multilayer epidemic networks. Mathematical Biosciences & Engineering. 12(3). 609–623. 25 indexed citations
20.
Tavasoli, Ali, Mahyar Naraghi, & Heman Shakeri. (2012). Optimized coordination of brakes and active steering for a 4WS passenger car. ISA Transactions. 51(5). 573–583. 27 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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