Mohammad Hajjat

971 total citations · 1 hit paper
11 papers, 849 citations indexed

About

Mohammad Hajjat is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mohammad Hajjat has authored 11 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 6 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Mohammad Hajjat's work include Cloud Computing and Resource Management (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Software System Performance and Reliability (4 papers). Mohammad Hajjat is often cited by papers focused on Cloud Computing and Resource Management (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Software System Performance and Reliability (4 papers). Mohammad Hajjat collaborates with scholars based in United States, Italy and United Kingdom. Mohammad Hajjat's co-authors include Ramana Rao Kompella, Myungjin Lee, Sridhar J. K. Rao, Sanjay Rao, Kunwadee Sripanidkulchai, David A. Maltz, Yu-Wei Eric Sung, Xin Sun, Mohit Tawarmalani and Ruben Torres and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, ACM SIGCOMM Computer Communication Review and Computer Networks.

In The Last Decade

Mohammad Hajjat

11 papers receiving 818 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.

INFOCOM, 2011 Proceedings IEEE

2011 529 citations Myungjin Lee, Mohammad Hajjat et al. profile →

Peers

Mohammad Hajjat

CNC

IS

EEE

AI

CVPR

Myungjin Lee United States

Ranjita Bhagwan United States

Kiran Nagaraja United States

Claudia Canali Italy

Michael J. Donahoo United States

Nikos Anerousis United States

Dominique Gaïti France

John Zinky United States

Piotr Chołda Poland

Cristina L. Abad Ecuador

Myungjin Lee United States

Mohammad Hajjat

619 ×1.0

CNC

216 ×0.6

IS

248 ×1.3

EEE

168 ×1.1

AI

73 ×1.0

CVPR

Citations per year, relative to Mohammad Hajjat Mohammad Hajjat (= 1×) peers Myungjin Lee

Countries citing papers authored by Mohammad Hajjat

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hajjat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Hajjat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hajjat. A scholar is included among the top collaborators of Mohammad Hajjat 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 Mohammad Hajjat. Mohammad Hajjat 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.

Hajjat, Mohammad, et al.. (2015). Application-specific configuration selection in the cloud: Impact of provider policy and potential of systematic testing. 873–881. 14 indexed citations

2.

Hajjat, Mohammad, et al.. (2015). Measuring and characterizing the performance of interactive multi-tier cloud applications. 1–6. 2 indexed citations

3.

Lee, Myungjin, Mohammad Hajjat, Ramana Rao Kompella, & Sanjay Rao. (2014). A flow measurement architecture to preserve application structure. Computer Networks. 77. 181–195. 1 indexed citations

4.

Hajjat, Mohammad, et al.. (2013). Dynamic Request Splitting for Interactive Cloud Applications. IEEE Journal on Selected Areas in Communications. 31(12). 2722–2737. 2 indexed citations

5.

Hajjat, Mohammad, et al.. (2012). Dealer. 157–168. 14 indexed citations

6.

Lee, Myungjin, Mohammad Hajjat, Ramana Rao Kompella, & Sridhar J. K. Rao. (2011). INFOCOM, 2011 Proceedings IEEE. 529 indexed citations breakdown →

7.

Lee, Myungjin, Mohammad Hajjat, Ramana Rao Kompella, & Sanjay Rao. (2011). RelSamp: Preserving application structure in sampled flow measurements. 2354–2362. 5 indexed citations

8.

Hajjat, Mohammad, Xin Sun, Yu-Wei Eric Sung, et al.. (2010). Cloudward bound. ACM SIGCOMM Computer Communication Review. 40(4). 243–254. 68 indexed citations

9.

Hajjat, Mohammad, Xin Sun, Yu-Wei Eric Sung, et al.. (2010). Cloudward bound. 243–254. 194 indexed citations

10.

Torres, Ruben, Mohammad Hajjat, Sanjay Rao, Marco Mellia, & Maurizio Matteo Munafò. (2009). Inferring undesirable behavior from P2P traffic analysis. ACM SIGMETRICS Performance Evaluation Review. 37(1). 25–36. 3 indexed citations

11.

Torres, Ruben, Mohammad Hajjat, Sanjay Rao, Marco Mellia, & Maurizio Matteo Munafò. (2009). Inferring undesirable behavior from P2P traffic analysis. 25–36. 17 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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