Mohammad R. Haghighat

1.2k citations
27 papers · 777 indexed · h-index 11
Topics
Parallel Computing and Optimization Techniques (11 papers)Speech and Audio Processing (5 papers)Distributed and Parallel Computing Systems (5 papers)

In The Last Decade

Mohammad R. Haghighat

24 papers receiving 719 citations

Peers

Mohammad R. Haghighat
Comparison fields: 5 of 64
  • Hardware and Architecture 479
  • Computer Networks and Communications 309
  • Artificial Intelligence 251
  • Information Systems 149
  • Software 136
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Countries citing papers authored by Mohammad R. Haghighat

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad R. Haghighat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad R. Haghighat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad R. Haghighat. A scholar is included among the top collaborators of Mohammad R. Haghighat 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 R. Haghighat. Mohammad R. Haghighat 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
#WorkIndexed citations
1 0
2 4
3 3
4 4
5 2
6 3
7 1
8 27
9 19
10 9
11
Towards parallelizing the layout engine of firefox
15
12 90
13 26
14 234
15
Incorporating Intel MMX technology into a Java JIT compiler.
2
16 53
17 78
18
The structure of parafrase-2: an advanced parallelizing compiler for C and FORTRAN
30
19
Parafrase-2 : An environment for parallelizing, partitioning, synchronizing, and scheduling programs on multiprocessors
7
20 136

About Mohammad R. Haghighat

Mohammad R. Haghighat is a scholar working on Hardware and Architecture, Medical Laboratory Technology and Signal Processing, having authored 27 papers that have together received 777 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Speech and Audio Processing (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Hardware and Architecture (479 citations), Medical Laboratory Technology (56 citations) and Software (136 citations). Mohammad R. Haghighat has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Constantine D. Polychronopoulos, Milind Girkar, Ramin Mehrdad, Omid Aminian, Jack T. Dennerlein, Mason Chang, Brendan Eich, David F. Anderson, Edwin Smith and Andreas Gal. Their work appears in journals such as IEEE Journal of Solid-State Circuits, American Journal of Industrial Medicine and ACM SIGPLAN Notices.

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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