Emre Kıcıman

28 total papers · 1.2k total citations
12 papers, 782 citations indexed

About

Emre Kıcıman is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Networks and Communications. According to data from OpenAlex, Emre Kıcıman has authored 12 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 3 papers in Computer Networks and Communications. Recurrent topics in Emre Kıcıman's work include Advanced Causal Inference Techniques (7 papers), Bayesian Modeling and Causal Inference (5 papers) and Statistical Methods and Inference (3 papers). Emre Kıcıman is often cited by papers focused on Advanced Causal Inference Techniques (7 papers), Bayesian Modeling and Causal Inference (5 papers) and Statistical Methods and Inference (3 papers). Emre Kıcıman collaborates with scholars based in United States, India and United Kingdom. Emre Kıcıman's co-authors include Armando Fox, Mike Y. Chen, Kyle Palos, Amit Sharma, Amit Sharma, Renato Figueiredo, Sarah Bird, Adith Swaminathan, Ben Hutchinson and Manish Parashar and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, Frontiers in Big Data and IEEE Transactions on Neural Networks.

In The Last Decade

Emre Kıcıman

12 papers receiving 724 citations

Hit Papers

Pinpoint: problem determi... 2003 2026 2010 2018 2003 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emre Kıcıman 674 424 297 200 18 12 782
Randolph Yao 590 0.9× 259 0.6× 112 0.4× 345 1.7× 15 0.8× 11 662
Murali Chintalapati 676 1.0× 283 0.7× 128 0.4× 415 2.1× 15 0.8× 23 792
Kenneth Nagin 558 0.8× 658 1.6× 155 0.5× 115 0.6× 19 1.1× 10 852
Mithun Acharya 416 0.6× 343 0.8× 247 0.8× 184 0.9× 11 0.6× 19 696
B. Thomas 151 0.2× 472 1.1× 295 1.0× 184 0.9× 9 0.5× 13 671
Soila Kavulya 600 0.9× 492 1.2× 72 0.2× 147 0.7× 31 1.7× 25 644
Risto Vaarandi 697 1.0× 345 0.8× 161 0.5× 358 1.8× 15 0.8× 25 777
Sami Beydeda 139 0.2× 402 0.9× 400 1.3× 308 1.5× 31 1.7× 19 632
Marko Rosenmüller 388 0.6× 689 1.6× 217 0.7× 716 3.6× 65 3.6× 35 865
Svein Hallsteinsen 370 0.5× 532 1.3× 103 0.3× 599 3.0× 58 3.2× 22 728

Countries citing papers authored by Emre Kıcıman

Since Specialization
Citations

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

Fields of papers citing papers by Emre Kıcıman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Kıcıman

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Kıcıman. A scholar is included among the top collaborators of Emre Kıcıman 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 Emre Kıcıman. Emre Kıcıman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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