Sayed Hadi Hashemi

2.3k total citations · 1 hit paper
11 papers, 548 citations indexed

About

Sayed Hadi Hashemi is a scholar working on Computer Networks and Communications, Information Systems and Molecular Biology. According to data from OpenAlex, Sayed Hadi Hashemi has authored 11 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 5 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Sayed Hadi Hashemi's work include Software-Defined Networks and 5G (2 papers), Network Security and Intrusion Detection (2 papers) and Cloud Computing and Resource Management (2 papers). Sayed Hadi Hashemi is often cited by papers focused on Software-Defined Networks and 5G (2 papers), Network Security and Intrusion Detection (2 papers) and Cloud Computing and Resource Management (2 papers). Sayed Hadi Hashemi collaborates with scholars based in United States, Iran and Bulgaria. Sayed Hadi Hashemi's co-authors include Faraz Faghri, Mike A. Nalls, Andrew Singleton, Martin Kampmann, Nina M. Dräger, Kun Leng, Roy H. Campbell, Jason Hong, Ke Xu and Ruilin Tian and has published in prestigious journals such as Nature Neuroscience, Developmental Cell and npj Parkinson s Disease.

In The Last Decade

Sayed Hadi Hashemi

11 papers receiving 541 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.

Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis

2021 229 citations Ruilin Tian, Jason Hong et al. Nature Neuroscience profile →

Peers

Sayed Hadi Hashemi

MB

NEURO

IS

CNC

PHYSI

Tengfei Xue China

Simon Liu United States

Mu Su China

Juan Qu China

David Willé Germany

Bo Ma China

Zijing Huang China

Zhongya Wang China

Annie Liu United States

Xiaolan Zhu China

Tengfei Xue China

Sayed Hadi Hashemi

210 ×0.8

MB

180 ×1.9

NEURO

57 ×0.7

IS

40 ×0.6

CNC

51 ×0.8

PHYSI

Citations per year, relative to Sayed Hadi Hashemi Sayed Hadi Hashemi (= 1×) peers Tengfei Xue

Countries citing papers authored by Sayed Hadi Hashemi

Since Specialization

Citations

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

Fields of papers citing papers by Sayed Hadi Hashemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayed Hadi Hashemi. 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 Sayed Hadi Hashemi. The network helps show where Sayed Hadi Hashemi may publish in the future.

Co-authorship network of co-authors of Sayed Hadi Hashemi

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

All Works

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11 of 11 papers shown

1.

Roberts, Melissa A., Kirandeep K. Deol, Mike Lange, et al.. (2023). Parallel CRISPR-Cas9 screens identify mechanisms of PLIN2 and lipid droplet regulation. Developmental Cell. 58(18). 1782–1800.e10. 29 indexed citations

2.

Dräger, Nina M., Sydney M. Sattler, Cindy Huang, et al.. (2022). A CRISPRi/a platform in human iPSC-derived microglia uncovers regulators of disease states. Nature Neuroscience. 25(9). 1149–1162. 123 indexed citations

3.

Kaur, Rachneet, Sayed Hadi Hashemi, Hampton L. Leonard, et al.. (2022). Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts. npj Parkinson s Disease. 8(1). 172–172. 50 indexed citations

4.

Tian, Ruilin, Jason Hong, Sayed Hadi Hashemi, et al.. (2021). Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis. Nature Neuroscience. 24(7). 1020–1034. 229 indexed citations breakdown →

5.

Kindratenko, Volodymyr, Dawei Mu, Sayed Hadi Hashemi, et al.. (2020). HAL: Computer System for Scalable Deep Learning. Practice and Experience in Advanced Research Computing. 41–48. 32 indexed citations

6.

Jyothi, Sangeetha Abdu, Sayed Hadi Hashemi, Roy H. Campbell, & Brighten Godfrey. (2020). Towards an application objective-aware network interface. 2 indexed citations

7.

Hashemi, Sayed Hadi, et al.. (2019). tensorflow-tracing: A Performance Tuning Framework for Production. 31–33. 1 indexed citations

8.

Hashemi, Sayed Hadi, et al.. (2016). Toward Fabric. 117–118. 2 indexed citations

9.

Hashemi, Sayed Hadi, et al.. (2016). World of Empowered IoT Users. 13–24. 76 indexed citations

10.

Hashemi, Sayed Hadi, et al.. (2012). A comprehensive semi-automated incident handling workflow. 11. 1065–1070. 2 indexed citations

11.

Hashemi, Sayed Hadi, et al.. (2012). A comprehensive classification of incident handling information. 1071–1075. 2 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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