Umut A. Acar

3.2k total citations
93 papers, 1.5k citations indexed

About

Umut A. Acar is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Umut A. Acar has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Hardware and Architecture, 46 papers in Computer Networks and Communications and 43 papers in Artificial Intelligence. Recurrent topics in Umut A. Acar's work include Parallel Computing and Optimization Techniques (64 papers), Distributed and Parallel Computing Systems (26 papers) and Logic, programming, and type systems (24 papers). Umut A. Acar is often cited by papers focused on Parallel Computing and Optimization Techniques (64 papers), Distributed and Parallel Computing Systems (26 papers) and Logic, programming, and type systems (24 papers). Umut A. Acar collaborates with scholars based in United States, Germany and United Kingdom. Umut A. Acar's co-authors include Guy E. Blelloch, Robert Harper, Robert D. Blumofe, M. Blume, Rodrigo Rodrigues, Mike Rainey, Pramod Bhatotia, Arthur Charguéraud, Alexander Wieder and Matthew A. Hammer and has published in prestigious journals such as Journal of Machine Learning Research, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Umut A. Acar

85 papers receiving 1.4k citations

Peers

Umut A. Acar
Comparison fields: 5 of 53
  • Computer Networks and Communications 876
  • Hardware and Architecture 816
  • Artificial Intelligence 666
  • Information Systems 448
  • Computational Theory and Mathematics 181
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Citations per field, relative to Umut A. Acar
Umut A. Acar · 1×
Citations per year, relative to Umut A. Acar
Umut A. Acar · 1×

Countries citing papers authored by Umut A. Acar

Since Specialization
Citations

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

Fields of papers citing papers by Umut A. Acar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umut A. Acar. 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 Umut A. Acar. The network helps show where Umut A. Acar may publish in the future.

Co-authorship network of co-authors of Umut A. Acar

This figure shows the co-authorship network connecting the top 25 collaborators of Umut A. Acar. A scholar is included among the top collaborators of Umut A. Acar 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 Umut A. Acar. Umut A. Acar 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
# Work Indexed citations
1 0
2 10
3 5
4 2
5 1
6 0
7 0
8 8
9 1
10 1
11 25
12 8
13 51
14 4
15
Efficient Bayesian Inference for Dynamically Changing Graphs
5
16 12
17 41
18 43
19 70
20 2

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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