İsmail Arı

1.2k citations
60 papers · 765 · h-index 17

Impact in

Papers in

İsmail Arı

53 papers receiving 699 citations

Peers

İsmail Arı
Comparison fields: 5 of 72
  • Computer Networks and Communications 446
  • Human-Computer Interaction 88
  • Signal Processing 144
  • Information Systems 212
  • Software 34
Replace Christopher Geib with:
Christopher Geib United States
Sandeep K. Singhal United States
Pradipta De United States
Wim Lamotte Belgium
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Lucas Bordeaux United Kingdom
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Hyotaek Lim South Korea
Gregor Schiele Germany
İsmail Arı relative to Christopher Geib United States Christopher Geib's profile →
Citations per field
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Citations per year

Countries citing papers authored by İsmail Arı

Since Specialization
Citations

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

Fields of papers citing papers by İsmail Arı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside İsmail Arı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with İsmail Arı Line = papers co-authored together İsmail Arı links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004106
2
ACME: Adaptive Caching Using Multiple Experts
200253
3 201251
4 200944
5
Adaptive Caching by Refetching
200235
6 201135
7 201234
8 201228
9 200927
10 200725
11 201125
12 200823
13 201823
14 201321
15 201821
16 201217
17 201016
18 201916
19 200814
20 201814

About İsmail Arı

İsmail Arı is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 60 papers that have together received 765 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Data Management and Algorithms (11 papers), Cloud Computing and Resource Management (10 papers), Software System Performance and Reliability (9 papers), Time Series Analysis and Forecasting (8 papers), Hand Gesture Recognition Systems (7 papers), Caching and Content Delivery (6 papers) and Data Stream Mining Techniques (5 papers). The work is most often cited by research in Computer Networks and Communications (446 citations), Human-Computer Interaction (88 citations), Signal Processing (144 citations), Information Systems (212 citations) and Software (34 citations). İsmail Arı has collaborated with scholars based in Türkiye, United States and France. Frequent co-authors include Scott Brandt, Ethan L. Miller, Darrell D. E. Long, Lale Akarun, Bo Hong, Hasan Sözer, Robert B. Gramacy, Chetan Gupta, Abhay Mehta and Elke A. Rundensteiner. Their work appears in journals such as IEEE Access, Journal of New Music Research, IEEE Multimedia, Advances in Engineering Software and Computers & Electrical Engineering.

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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