Funda Ergün

1.2k citations
31 papers · 569 · h-index 14

Impact in

Papers in

Funda Ergün

30 papers receiving 530 citations

Peers

Funda Ergün
Comparison fields: 5 of 50
  • Computational Theory and Mathematics 253
  • Computer Graphics and Computer-Aided Design 40
  • Computer Networks and Communications 251
  • Artificial Intelligence 285
  • Hardware and Architecture 45
Replace Adam L. Buchsbaum with:
Adam L. Buchsbaum United States
Oren Weimann Israel
Jeffery Westbrook United States
Tadao Takaoka New Zealand
D. H. Younger Canada
Chu Min Li France
Jacobo Valdes United States
Joan Boyar Denmark
John Franco United States
Hiromu Ariyoshi Japan
Funda Ergün relative to Adam L. Buchsbaum United States Adam L. Buchsbaum's profile →
Citations per field
00.5×3.7×
Adam L. Buchsbaum · 1×
Citations per year

Countries citing papers authored by Funda Ergün

Since Specialization
Citations

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

Fields of papers citing papers by Funda Ergün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Funda Ergün, 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 Funda Ergün Line = papers co-authored together Funda Ergün links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200282
2 200070
3 201449
4 200342
5 199837
6 200235
7 200631
8 200625
9 200524
10 200221
11 200320
12 202014
13 200314
14 199514
15 199913
16
On distance to monotonicity and longest increasing subsequence of a data stream
200812
17 201411
18 20029
19 20058
20 19958

About Funda Ergün

Funda Ergün is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology, having authored 31 papers that have together received 569 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (17 papers), Machine Learning and Algorithms (12 papers), Algorithms and Data Compression (9 papers), Cryptography and Data Security (5 papers), Optimization and Search Problems (5 papers), Formal Methods in Verification (5 papers), Software-Defined Networks and 5G (4 papers) and Advanced Optical Network Technologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (253 citations), Computer Graphics and Computer-Aided Design (40 citations), Computer Networks and Communications (251 citations), Artificial Intelligence (285 citations) and Hardware and Architecture (45 citations). Funda Ergün has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ronitt Rubinfeld, Rakesh K. Sinha, Lisa Zhang, Tuğkan Batu, Mahesh Viswanathan, Sampath Kannan, Cenk Sahinalp, Rakesh Sinha, S. Ravi Kumar and Dan Wang. Their work appears in journals such as SIAM Journal on Computing, Journal of Computer and System Sciences, Bioinformatics, Nature Computational Science and COMBINATORICA.

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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